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Imgproc
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OpenCV 2.4.3.2</EM>
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SUMMARY: NESTED | <A HREF="#field_summary">FIELD</A> | <A HREF="#constructor_summary">CONSTR</A> | <A HREF="#method_summary">METHOD</A></FONT></TD>
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org.opencv.imgproc</FONT>
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Class Imgproc</H2>
<PRE>
java.lang.Object
<IMG SRC="../../../resources/inherit.gif" ALT="extended by "><B>org.opencv.imgproc.Imgproc</B>
</PRE>
<HR>
<DL>
<DT><PRE>public class <B>Imgproc</B><DT>extends java.lang.Object</DL>
</PRE>
<P>
<HR>
<P>
<!-- =========== FIELD SUMMARY =========== -->
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<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
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<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
<B>Field Summary</B></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#ADAPTIVE_THRESH_GAUSSIAN_C">ADAPTIVE_THRESH_GAUSSIAN_C</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#ADAPTIVE_THRESH_MEAN_C">ADAPTIVE_THRESH_MEAN_C</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_CONSTANT">BORDER_CONSTANT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_DEFAULT">BORDER_DEFAULT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_ISOLATED">BORDER_ISOLATED</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_REFLECT">BORDER_REFLECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_REFLECT_101">BORDER_REFLECT_101</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_REFLECT101">BORDER_REFLECT101</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_REPLICATE">BORDER_REPLICATE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_TRANSPARENT">BORDER_TRANSPARENT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#BORDER_WRAP">BORDER_WRAP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CHAIN_APPROX_NONE">CHAIN_APPROX_NONE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CHAIN_APPROX_SIMPLE">CHAIN_APPROX_SIMPLE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CHAIN_APPROX_TC89_KCOS">CHAIN_APPROX_TC89_KCOS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CHAIN_APPROX_TC89_L1">CHAIN_APPROX_TC89_L1</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerBG2BGR">COLOR_BayerBG2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerBG2BGR_VNG">COLOR_BayerBG2BGR_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerBG2GRAY">COLOR_BayerBG2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerBG2RGB">COLOR_BayerBG2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerBG2RGB_VNG">COLOR_BayerBG2RGB_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGB2BGR">COLOR_BayerGB2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGB2BGR_VNG">COLOR_BayerGB2BGR_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGB2GRAY">COLOR_BayerGB2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGB2RGB">COLOR_BayerGB2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGB2RGB_VNG">COLOR_BayerGB2RGB_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGR">COLOR_BayerGR2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2BGR_VNG">COLOR_BayerGR2BGR_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2GRAY">COLOR_BayerGR2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGB">COLOR_BayerGR2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerGR2RGB_VNG">COLOR_BayerGR2RGB_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGR">COLOR_BayerRG2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2BGR_VNG">COLOR_BayerRG2BGR_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2GRAY">COLOR_BayerRG2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGB">COLOR_BayerRG2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BayerRG2RGB_VNG">COLOR_BayerRG2RGB_VNG</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGR555">COLOR_BGR2BGR555</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGR565">COLOR_BGR2BGR565</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2BGRA">COLOR_BGR2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2GRAY">COLOR_BGR2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HLS">COLOR_BGR2HLS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HLS_FULL">COLOR_BGR2HLS_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HSV">COLOR_BGR2HSV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2HSV_FULL">COLOR_BGR2HSV_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2Lab">COLOR_BGR2Lab</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2Luv">COLOR_BGR2Luv</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2RGB">COLOR_BGR2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2RGBA">COLOR_BGR2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2XYZ">COLOR_BGR2XYZ</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YCrCb">COLOR_BGR2YCrCb</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR2YUV">COLOR_BGR2YUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552BGR">COLOR_BGR5552BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552BGRA">COLOR_BGR5552BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552GRAY">COLOR_BGR5552GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552RGB">COLOR_BGR5552RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5552RGBA">COLOR_BGR5552RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652BGR">COLOR_BGR5652BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652BGRA">COLOR_BGR5652BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652GRAY">COLOR_BGR5652GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652RGB">COLOR_BGR5652RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGR5652RGBA">COLOR_BGR5652RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR">COLOR_BGRA2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR555">COLOR_BGRA2BGR555</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2BGR565">COLOR_BGRA2BGR565</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2GRAY">COLOR_BGRA2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2RGB">COLOR_BGRA2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_BGRA2RGBA">COLOR_BGRA2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_COLORCVT_MAX">COLOR_COLORCVT_MAX</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR">COLOR_GRAY2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR555">COLOR_GRAY2BGR555</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGR565">COLOR_GRAY2BGR565</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2BGRA">COLOR_GRAY2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2RGB">COLOR_GRAY2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_GRAY2RGBA">COLOR_GRAY2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2BGR">COLOR_HLS2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2BGR_FULL">COLOR_HLS2BGR_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2RGB">COLOR_HLS2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HLS2RGB_FULL">COLOR_HLS2RGB_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2BGR">COLOR_HSV2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2BGR_FULL">COLOR_HSV2BGR_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2RGB">COLOR_HSV2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_HSV2RGB_FULL">COLOR_HSV2RGB_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2BGR">COLOR_Lab2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2LBGR">COLOR_Lab2LBGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2LRGB">COLOR_Lab2LRGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Lab2RGB">COLOR_Lab2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_LBGR2Lab">COLOR_LBGR2Lab</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_LBGR2Luv">COLOR_LBGR2Luv</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_LRGB2Lab">COLOR_LRGB2Lab</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_LRGB2Luv">COLOR_LRGB2Luv</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2BGR">COLOR_Luv2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2LBGR">COLOR_Luv2LBGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2LRGB">COLOR_Luv2LRGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_Luv2RGB">COLOR_Luv2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_mRGBA2RGBA">COLOR_mRGBA2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR">COLOR_RGB2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR555">COLOR_RGB2BGR555</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGR565">COLOR_RGB2BGR565</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2BGRA">COLOR_RGB2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2GRAY">COLOR_RGB2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HLS">COLOR_RGB2HLS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HLS_FULL">COLOR_RGB2HLS_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HSV">COLOR_RGB2HSV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2HSV_FULL">COLOR_RGB2HSV_FULL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2Lab">COLOR_RGB2Lab</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2Luv">COLOR_RGB2Luv</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2RGBA">COLOR_RGB2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2XYZ">COLOR_RGB2XYZ</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YCrCb">COLOR_RGB2YCrCb</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGB2YUV">COLOR_RGB2YUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR">COLOR_RGBA2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR555">COLOR_RGBA2BGR555</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGR565">COLOR_RGBA2BGR565</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2BGRA">COLOR_RGBA2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2GRAY">COLOR_RGBA2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2mRGBA">COLOR_RGBA2mRGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_RGBA2RGB">COLOR_RGBA2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_XYZ2BGR">COLOR_XYZ2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_XYZ2RGB">COLOR_XYZ2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YCrCb2BGR">COLOR_YCrCb2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YCrCb2RGB">COLOR_YCrCb2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR">COLOR_YUV2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_I420">COLOR_YUV2BGR_I420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_IYUV">COLOR_YUV2BGR_IYUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_NV12">COLOR_YUV2BGR_NV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_NV21">COLOR_YUV2BGR_NV21</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_UYNV">COLOR_YUV2BGR_UYNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_UYVY">COLOR_YUV2BGR_UYVY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_Y422">COLOR_YUV2BGR_Y422</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUNV">COLOR_YUV2BGR_YUNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUY2">COLOR_YUV2BGR_YUY2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YUYV">COLOR_YUV2BGR_YUYV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YV12">COLOR_YUV2BGR_YV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGR_YVYU">COLOR_YUV2BGR_YVYU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_I420">COLOR_YUV2BGRA_I420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_IYUV">COLOR_YUV2BGRA_IYUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_NV12">COLOR_YUV2BGRA_NV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_NV21">COLOR_YUV2BGRA_NV21</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_UYNV">COLOR_YUV2BGRA_UYNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_UYVY">COLOR_YUV2BGRA_UYVY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_Y422">COLOR_YUV2BGRA_Y422</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUNV">COLOR_YUV2BGRA_YUNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUY2">COLOR_YUV2BGRA_YUY2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YUYV">COLOR_YUV2BGRA_YUYV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YV12">COLOR_YUV2BGRA_YV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2BGRA_YVYU">COLOR_YUV2BGRA_YVYU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_420">COLOR_YUV2GRAY_420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_I420">COLOR_YUV2GRAY_I420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_IYUV">COLOR_YUV2GRAY_IYUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_NV12">COLOR_YUV2GRAY_NV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_NV21">COLOR_YUV2GRAY_NV21</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_UYNV">COLOR_YUV2GRAY_UYNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_UYVY">COLOR_YUV2GRAY_UYVY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_Y422">COLOR_YUV2GRAY_Y422</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUNV">COLOR_YUV2GRAY_YUNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUY2">COLOR_YUV2GRAY_YUY2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YUYV">COLOR_YUV2GRAY_YUYV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YV12">COLOR_YUV2GRAY_YV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2GRAY_YVYU">COLOR_YUV2GRAY_YVYU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB">COLOR_YUV2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_I420">COLOR_YUV2RGB_I420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_IYUV">COLOR_YUV2RGB_IYUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_NV12">COLOR_YUV2RGB_NV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_NV21">COLOR_YUV2RGB_NV21</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_UYNV">COLOR_YUV2RGB_UYNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_UYVY">COLOR_YUV2RGB_UYVY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_Y422">COLOR_YUV2RGB_Y422</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUNV">COLOR_YUV2RGB_YUNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUY2">COLOR_YUV2RGB_YUY2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YUYV">COLOR_YUV2RGB_YUYV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YV12">COLOR_YUV2RGB_YV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGB_YVYU">COLOR_YUV2RGB_YVYU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_I420">COLOR_YUV2RGBA_I420</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_IYUV">COLOR_YUV2RGBA_IYUV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_NV12">COLOR_YUV2RGBA_NV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_NV21">COLOR_YUV2RGBA_NV21</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_UYNV">COLOR_YUV2RGBA_UYNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_UYVY">COLOR_YUV2RGBA_UYVY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_Y422">COLOR_YUV2RGBA_Y422</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUNV">COLOR_YUV2RGBA_YUNV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUY2">COLOR_YUV2RGBA_YUY2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YUYV">COLOR_YUV2RGBA_YUYV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YV12">COLOR_YUV2RGBA_YV12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV2RGBA_YVYU">COLOR_YUV2RGBA_YVYU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2BGR">COLOR_YUV420p2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2BGRA">COLOR_YUV420p2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2GRAY">COLOR_YUV420p2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2RGB">COLOR_YUV420p2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420p2RGBA">COLOR_YUV420p2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2BGR">COLOR_YUV420sp2BGR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2BGRA">COLOR_YUV420sp2BGRA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2GRAY">COLOR_YUV420sp2GRAY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2RGB">COLOR_YUV420sp2RGB</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#COLOR_YUV420sp2RGBA">COLOR_YUV420sp2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_BILATERAL">CV_BILATERAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_BLUR">CV_BLUR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_BLUR_NO_SCALE">CV_BLUR_NO_SCALE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CANNY_L2_GRADIENT">CV_CANNY_L2_GRADIENT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CHAIN_CODE">CV_CHAIN_CODE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CLOCKWISE">CV_CLOCKWISE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_BHATTACHARYYA">CV_COMP_BHATTACHARYYA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_CHISQR">CV_COMP_CHISQR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_CORREL">CV_COMP_CORREL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_HELLINGER">CV_COMP_HELLINGER</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COMP_INTERSECT">CV_COMP_INTERSECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CONTOURS_MATCH_I1">CV_CONTOURS_MATCH_I1</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CONTOURS_MATCH_I2">CV_CONTOURS_MATCH_I2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_CONTOURS_MATCH_I3">CV_CONTOURS_MATCH_I3</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_COUNTER_CLOCKWISE">CV_COUNTER_CLOCKWISE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_C">CV_DIST_C</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_FAIR">CV_DIST_FAIR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_HUBER">CV_DIST_HUBER</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_L1">CV_DIST_L1</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_L12">CV_DIST_L12</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_L2">CV_DIST_L2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_LABEL_CCOMP">CV_DIST_LABEL_CCOMP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_LABEL_PIXEL">CV_DIST_LABEL_PIXEL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_MASK_3">CV_DIST_MASK_3</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_MASK_5">CV_DIST_MASK_5</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_MASK_PRECISE">CV_DIST_MASK_PRECISE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_USER">CV_DIST_USER</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_DIST_WELSCH">CV_DIST_WELSCH</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_GAUSSIAN">CV_GAUSSIAN</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_GAUSSIAN_5x5">CV_GAUSSIAN_5x5</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_HOUGH_GRADIENT">CV_HOUGH_GRADIENT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_HOUGH_MULTI_SCALE">CV_HOUGH_MULTI_SCALE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_HOUGH_PROBABILISTIC">CV_HOUGH_PROBABILISTIC</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_HOUGH_STANDARD">CV_HOUGH_STANDARD</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_LINK_RUNS">CV_LINK_RUNS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_MAX_SOBEL_KSIZE">CV_MAX_SOBEL_KSIZE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_MEDIAN">CV_MEDIAN</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_mRGBA2RGBA">CV_mRGBA2RGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_POLY_APPROX_DP">CV_POLY_APPROX_DP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_RGBA2mRGBA">CV_RGBA2mRGBA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_SCHARR">CV_SCHARR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_SHAPE_CROSS">CV_SHAPE_CROSS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_SHAPE_CUSTOM">CV_SHAPE_CUSTOM</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_SHAPE_ELLIPSE">CV_SHAPE_ELLIPSE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_SHAPE_RECT">CV_SHAPE_RECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_WARP_FILL_OUTLIERS">CV_WARP_FILL_OUTLIERS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#CV_WARP_INVERSE_MAP">CV_WARP_INVERSE_MAP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#DIST_LABEL_CCOMP">DIST_LABEL_CCOMP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#DIST_LABEL_PIXEL">DIST_LABEL_PIXEL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#FLOODFILL_FIXED_RANGE">FLOODFILL_FIXED_RANGE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#FLOODFILL_MASK_ONLY">FLOODFILL_MASK_ONLY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_BGD">GC_BGD</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_EVAL">GC_EVAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_FGD">GC_FGD</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_INIT_WITH_MASK">GC_INIT_WITH_MASK</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_INIT_WITH_RECT">GC_INIT_WITH_RECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_PR_BGD">GC_PR_BGD</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GC_PR_FGD">GC_PR_FGD</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GHT_POSITION">GHT_POSITION</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GHT_ROTATION">GHT_ROTATION</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GHT_SCALE">GHT_SCALE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_AREA">INTER_AREA</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_BITS">INTER_BITS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_BITS2">INTER_BITS2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_CUBIC">INTER_CUBIC</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_LANCZOS4">INTER_LANCZOS4</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_LINEAR">INTER_LINEAR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_MAX">INTER_MAX</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_NEAREST">INTER_NEAREST</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_TAB_SIZE">INTER_TAB_SIZE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#INTER_TAB_SIZE2">INTER_TAB_SIZE2</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#KERNEL_ASYMMETRICAL">KERNEL_ASYMMETRICAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#KERNEL_GENERAL">KERNEL_GENERAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#KERNEL_INTEGER">KERNEL_INTEGER</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#KERNEL_SMOOTH">KERNEL_SMOOTH</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#KERNEL_SYMMETRICAL">KERNEL_SYMMETRICAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_BLACKHAT">MORPH_BLACKHAT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_CLOSE">MORPH_CLOSE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_CROSS">MORPH_CROSS</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_DILATE">MORPH_DILATE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_ELLIPSE">MORPH_ELLIPSE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_ERODE">MORPH_ERODE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_GRADIENT">MORPH_GRADIENT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_OPEN">MORPH_OPEN</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_RECT">MORPH_RECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#MORPH_TOPHAT">MORPH_TOPHAT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#PROJ_SPHERICAL_EQRECT">PROJ_SPHERICAL_EQRECT</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#PROJ_SPHERICAL_ORTHO">PROJ_SPHERICAL_ORTHO</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#RETR_CCOMP">RETR_CCOMP</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#RETR_EXTERNAL">RETR_EXTERNAL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#RETR_FLOODFILL">RETR_FLOODFILL</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#RETR_LIST">RETR_LIST</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#RETR_TREE">RETR_TREE</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_BINARY">THRESH_BINARY</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_BINARY_INV">THRESH_BINARY_INV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_MASK">THRESH_MASK</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_OTSU">THRESH_OTSU</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_TOZERO">THRESH_TOZERO</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_TOZERO_INV">THRESH_TOZERO_INV</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#THRESH_TRUNC">THRESH_TRUNC</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_CCOEFF">TM_CCOEFF</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_CCOEFF_NORMED">TM_CCOEFF_NORMED</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_CCORR">TM_CCORR</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_CCORR_NORMED">TM_CCORR_NORMED</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_SQDIFF">TM_SQDIFF</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#TM_SQDIFF_NORMED">TM_SQDIFF_NORMED</A></B></CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#WARP_INVERSE_MAP">WARP_INVERSE_MAP</A></B></CODE>
<BR>
</TD>
</TR>
</TABLE>
<!-- ======== CONSTRUCTOR SUMMARY ======== -->
<A NAME="constructor_summary"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
<B>Constructor Summary</B></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Imgproc()">Imgproc</A></B>()</CODE>
<BR>
</TD>
</TR>
</TABLE>
<!-- ========== METHOD SUMMARY =========== -->
<A NAME="method_summary"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2">
<B>Method Summary</B></FONT></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat)">accumulate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Adds an image to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">accumulate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</CODE>
<BR>
Adds an image to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">accumulateProduct</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Adds the per-element product of two input images to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">accumulateProduct</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</CODE>
<BR>
Adds the per-element product of two input images to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat)">accumulateSquare</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Adds the square of a source image to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">accumulateSquare</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</CODE>
<BR>
Adds the square of a source image to the accumulator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double)">accumulateWeighted</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double alpha)</CODE>
<BR>
Updates a running average.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)">accumulateWeighted</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double alpha,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</CODE>
<BR>
Updates a running average.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#adaptiveThreshold(org.opencv.core.Mat, org.opencv.core.Mat, double, int, int, int, double)">adaptiveThreshold</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double maxValue,
int adaptiveMethod,
int thresholdType,
int blockSize,
double C)</CODE>
<BR>
Applies an adaptive threshold to an array.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#approxPolyDP(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, double, boolean)">approxPolyDP</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> curve,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> approxCurve,
double epsilon,
boolean closed)</CODE>
<BR>
Approximates a polygonal curve(s) with the specified precision.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#arcLength(org.opencv.core.MatOfPoint2f, boolean)">arcLength</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> curve,
boolean closed)</CODE>
<BR>
Calculates a contour perimeter or a curve length.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double)">bilateralFilter</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int d,
double sigmaColor,
double sigmaSpace)</CODE>
<BR>
Applies the bilateral filter to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)">bilateralFilter</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int d,
double sigmaColor,
double sigmaSpace,
int borderType)</CODE>
<BR>
Applies the bilateral filter to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">blur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</CODE>
<BR>
Blurs an image using the normalized box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point)">blur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor)</CODE>
<BR>
Blurs an image using the normalized box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)">blur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int borderType)</CODE>
<BR>
Blurs an image using the normalized box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#borderInterpolate(int, int, int)">borderInterpolate</A></B>(int p,
int len,
int borderType)</CODE>
<BR>
Computes the source location of an extrapolated pixel.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#boundingRect(org.opencv.core.MatOfPoint)">boundingRect</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points)</CODE>
<BR>
Calculates the up-right bounding rectangle of a point set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size)">boxFilter</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</CODE>
<BR>
Blurs an image using the box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean)">boxFilter</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
boolean normalize)</CODE>
<BR>
Blurs an image using the box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)">boxFilter</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
boolean normalize,
int borderType)</CODE>
<BR>
Blurs an image using the box filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#calcBackProject(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfFloat, double)">calcBackProject</A></B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges,
double scale)</CODE>
<BR>
Calculates the back projection of a histogram.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#calcHist(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat)">calcHist</A></B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> histSize,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges)</CODE>
<BR>
Calculates a histogram of a set of arrays.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#calcHist(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat, boolean)">calcHist</A></B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> histSize,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges,
boolean accumulate)</CODE>
<BR>
Calculates a histogram of a set of arrays.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Canny(org.opencv.core.Mat, org.opencv.core.Mat, double, double)">Canny</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> edges,
double threshold1,
double threshold2)</CODE>
<BR>
Finds edges in an image using the [Canny86] algorithm.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Canny(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, boolean)">Canny</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> edges,
double threshold1,
double threshold2,
int apertureSize,
boolean L2gradient)</CODE>
<BR>
Finds edges in an image using the [Canny86] algorithm.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#compareHist(org.opencv.core.Mat, org.opencv.core.Mat, int)">compareHist</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> H1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> H2,
int method)</CODE>
<BR>
Compares two histograms.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#contourArea(org.opencv.core.Mat)">contourArea</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour)</CODE>
<BR>
Calculates a contour area.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#contourArea(org.opencv.core.Mat, boolean)">contourArea</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour,
boolean oriented)</CODE>
<BR>
Calculates a contour area.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#convertMaps(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)">convertMaps</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap2,
int dstmap1type)</CODE>
<BR>
Converts image transformation maps from one representation to another.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#convertMaps(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)">convertMaps</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap2,
int dstmap1type,
boolean nninterpolation)</CODE>
<BR>
Converts image transformation maps from one representation to another.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#convexHull(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt)">convexHull</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> hull)</CODE>
<BR>
Finds the convex hull of a point set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#convexHull(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt, boolean)">convexHull</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> hull,
boolean clockwise)</CODE>
<BR>
Finds the convex hull of a point set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#convexityDefects(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt, org.opencv.core.MatOfInt4)">convexityDefects</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> contour,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> convexhull,
<A HREF="../../../org/opencv/core/MatOfInt4.html" title="class in org.opencv.core">MatOfInt4</A> convexityDefects)</CODE>
<BR>
Finds the convexity defects of a contour.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int)">copyMakeBorder</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int top,
int bottom,
int left,
int right,
int borderType)</CODE>
<BR>
Forms a border around an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int, org.opencv.core.Scalar)">copyMakeBorder</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int top,
int bottom,
int left,
int right,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> value)</CODE>
<BR>
Forms a border around an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerEigenValsAndVecs(org.opencv.core.Mat, org.opencv.core.Mat, int, int)">cornerEigenValsAndVecs</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize)</CODE>
<BR>
Calculates eigenvalues and eigenvectors of image blocks for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerEigenValsAndVecs(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">cornerEigenValsAndVecs</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
int borderType)</CODE>
<BR>
Calculates eigenvalues and eigenvectors of image blocks for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double)">cornerHarris</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
double k)</CODE>
<BR>
Harris edge detector.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)">cornerHarris</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
double k,
int borderType)</CODE>
<BR>
Harris edge detector.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int)">cornerMinEigenVal</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize)</CODE>
<BR>
Calculates the minimal eigenvalue of gradient matrices for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int)">cornerMinEigenVal</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize)</CODE>
<BR>
Calculates the minimal eigenvalue of gradient matrices for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">cornerMinEigenVal</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
int borderType)</CODE>
<BR>
Calculates the minimal eigenvalue of gradient matrices for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerSubPix(org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.Size, org.opencv.core.Size, org.opencv.core.TermCriteria)">cornerSubPix</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> corners,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> winSize,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> zeroZone,
<A HREF="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</A> criteria)</CODE>
<BR>
Refines the corner locations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)">createHanningWindow</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> winSize,
int type)</CODE>
<BR>
This function computes a Hanning window coefficients in two dimensions.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cvtColor(org.opencv.core.Mat, org.opencv.core.Mat, int)">cvtColor</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int code)</CODE>
<BR>
Converts an image from one color space to another.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#cvtColor(org.opencv.core.Mat, org.opencv.core.Mat, int, int)">cvtColor</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int code,
int dstCn)</CODE>
<BR>
Converts an image from one color space to another.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">dilate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</CODE>
<BR>
Dilates an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int)">dilate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</CODE>
<BR>
Dilates an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)">dilate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Dilates an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#distanceTransform(org.opencv.core.Mat, org.opencv.core.Mat, int, int)">distanceTransform</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int distanceType,
int maskSize)</CODE>
<BR>
Calculates the distance to the closest zero pixel for each pixel of the
source image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#distanceTransformWithLabels(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int)">distanceTransformWithLabels</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> labels,
int distanceType,
int maskSize)</CODE>
<BR>
Calculates the distance to the closest zero pixel for each pixel of the
source image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#distanceTransformWithLabels(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">distanceTransformWithLabels</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> labels,
int distanceType,
int maskSize,
int labelType)</CODE>
<BR>
Calculates the distance to the closest zero pixel for each pixel of the
source image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar)">drawContours</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color)</CODE>
<BR>
Draws contours outlines or filled contours.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar, int)">drawContours</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color,
int thickness)</CODE>
<BR>
Draws contours outlines or filled contours.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar, int, int, org.opencv.core.Mat, int, org.opencv.core.Point)">drawContours</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color,
int thickness,
int lineType,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int maxLevel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> offset)</CODE>
<BR>
Draws contours outlines or filled contours.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#equalizeHist(org.opencv.core.Mat, org.opencv.core.Mat)">equalizeHist</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Equalizes the histogram of a grayscale image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">erode</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</CODE>
<BR>
Erodes an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int)">erode</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</CODE>
<BR>
Erodes an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)">erode</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Erodes an image by using a specific structuring element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat)">filter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</CODE>
<BR>
Convolves an image with the kernel.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double)">filter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta)</CODE>
<BR>
Convolves an image with the kernel.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)">filter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta,
int borderType)</CODE>
<BR>
Convolves an image with the kernel.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int)">findContours</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int mode,
int method)</CODE>
<BR>
Finds contours in a binary image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)">findContours</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int mode,
int method,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> offset)</CODE>
<BR>
Finds contours in a binary image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#fitEllipse(org.opencv.core.MatOfPoint2f)">fitEllipse</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points)</CODE>
<BR>
Fits an ellipse around a set of 2D points.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#fitLine(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, double)">fitLine</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> points,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> line,
int distType,
double param,
double reps,
double aeps)</CODE>
<BR>
Fits a line to a 2D or 3D point set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#floodFill(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, org.opencv.core.Scalar)">floodFill</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> seedPoint,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> newVal)</CODE>
<BR>
Fills a connected component with the given color.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#floodFill(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, org.opencv.core.Scalar, org.opencv.core.Rect, org.opencv.core.Scalar, org.opencv.core.Scalar, int)">floodFill</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> seedPoint,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> newVal,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> loDiff,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> upDiff,
int flags)</CODE>
<BR>
Fills a connected component with the given color.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double)">GaussianBlur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX)</CODE>
<BR>
Blurs an image using a Gaussian filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double)">GaussianBlur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX,
double sigmaY)</CODE>
<BR>
Blurs an image using a Gaussian filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)">GaussianBlur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX,
double sigmaY,
int borderType)</CODE>
<BR>
Blurs an image using a Gaussian filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getAffineTransform(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f)">getAffineTransform</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst)</CODE>
<BR>
Calculates an affine transform from three pairs of the corresponding points.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getDefaultNewCameraMatrix(org.opencv.core.Mat)">getDefaultNewCameraMatrix</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix)</CODE>
<BR>
Returns the default new camera matrix.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getDefaultNewCameraMatrix(org.opencv.core.Mat, org.opencv.core.Size, boolean)">getDefaultNewCameraMatrix</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imgsize,
boolean centerPrincipalPoint)</CODE>
<BR>
Returns the default new camera matrix.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">getDerivKernels</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kx,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> ky,
int dx,
int dy,
int ksize)</CODE>
<BR>
Returns filter coefficients for computing spatial image derivatives.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)">getDerivKernels</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kx,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> ky,
int dx,
int dy,
int ksize,
boolean normalize,
int ktype)</CODE>
<BR>
Returns filter coefficients for computing spatial image derivatives.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getGaborKernel(org.opencv.core.Size, double, double, double, double)">getGaborKernel</A></B>(<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigma,
double theta,
double lambd,
double gamma)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getGaborKernel(org.opencv.core.Size, double, double, double, double, double, int)">getGaborKernel</A></B>(<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigma,
double theta,
double lambd,
double gamma,
double psi,
int ktype)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getGaussianKernel(int, double)">getGaussianKernel</A></B>(int ksize,
double sigma)</CODE>
<BR>
Returns Gaussian filter coefficients.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getGaussianKernel(int, double, int)">getGaussianKernel</A></B>(int ksize,
double sigma,
int ktype)</CODE>
<BR>
Returns Gaussian filter coefficients.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getPerspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat)">getPerspectiveTransform</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Calculates a perspective transform from four pairs of the corresponding
points.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat)">getRectSubPix</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> patchSize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> patch)</CODE>
<BR>
Retrieves a pixel rectangle from an image with sub-pixel accuracy.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)">getRectSubPix</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> patchSize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> patch,
int patchType)</CODE>
<BR>
Retrieves a pixel rectangle from an image with sub-pixel accuracy.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getRotationMatrix2D(org.opencv.core.Point, double, double)">getRotationMatrix2D</A></B>(<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
double angle,
double scale)</CODE>
<BR>
Calculates an affine matrix of 2D rotation.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement(int, org.opencv.core.Size)">getStructuringElement</A></B>(int shape,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</CODE>
<BR>
Returns a structuring element of the specified size and shape for
morphological operations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)">getStructuringElement</A></B>(int shape,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor)</CODE>
<BR>
Returns a structuring element of the specified size and shape for
morphological operations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack(org.opencv.core.Mat, org.opencv.core.MatOfPoint, int, double, double)">goodFeaturesToTrack</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> corners,
int maxCorners,
double qualityLevel,
double minDistance)</CODE>
<BR>
Determines strong corners on an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#goodFeaturesToTrack(org.opencv.core.Mat, org.opencv.core.MatOfPoint, int, double, double, org.opencv.core.Mat, int, boolean, double)">goodFeaturesToTrack</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> corners,
int maxCorners,
double qualityLevel,
double minDistance,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
int blockSize,
boolean useHarrisDetector,
double k)</CODE>
<BR>
Determines strong corners on an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#grabCut(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Rect, org.opencv.core.Mat, org.opencv.core.Mat, int)">grabCut</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> img,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> bgdModel,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> fgdModel,
int iterCount)</CODE>
<BR>
Runs the GrabCut algorithm.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#grabCut(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Rect, org.opencv.core.Mat, org.opencv.core.Mat, int, int)">grabCut</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> img,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> bgdModel,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> fgdModel,
int iterCount,
int mode)</CODE>
<BR>
Runs the GrabCut algorithm.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughCircles(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double)">HoughCircles</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> circles,
int method,
double dp,
double minDist)</CODE>
<BR>
Finds circles in a grayscale image using the Hough transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughCircles(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, double, double, int, int)">HoughCircles</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> circles,
int method,
double dp,
double minDist,
double param1,
double param2,
int minRadius,
int maxRadius)</CODE>
<BR>
Finds circles in a grayscale image using the Hough transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughLines(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)">HoughLines</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold)</CODE>
<BR>
Finds lines in a binary image using the standard Hough transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughLines(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, double, double)">HoughLines</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold,
double srn,
double stn)</CODE>
<BR>
Finds lines in a binary image using the standard Hough transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughLinesP(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)">HoughLinesP</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold)</CODE>
<BR>
Finds line segments in a binary image using the probabilistic Hough
transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HoughLinesP(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, double, double)">HoughLinesP</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold,
double minLineLength,
double maxLineGap)</CODE>
<BR>
Finds line segments in a binary image using the probabilistic Hough
transform.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#HuMoments(org.opencv.imgproc.Moments, org.opencv.core.Mat)">HuMoments</A></B>(<A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A> m,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hu)</CODE>
<BR>
Calculates seven Hu invariants.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)">initUndistortRectifyMap</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> R,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> newCameraMatrix,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> size,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2)</CODE>
<BR>
Computes the undistortion and rectification transformation map.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static float</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#initWideAngleProjMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Mat, org.opencv.core.Mat)">initWideAngleProjMap</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imageSize,
int destImageWidth,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static float</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#initWideAngleProjMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Mat, org.opencv.core.Mat, int, double)">initWideAngleProjMap</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imageSize,
int destImageWidth,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int projType,
double alpha)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral(org.opencv.core.Mat, org.opencv.core.Mat)">integral</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral(org.opencv.core.Mat, org.opencv.core.Mat, int)">integral</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
int sdepth)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral2(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">integral2</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral2(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)">integral2</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
int sdepth)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral3(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">integral3</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> tilted)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#integral3(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)">integral3</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> tilted,
int sdepth)</CODE>
<BR>
Calculates the integral of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static float</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#intersectConvexConvex(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">intersectConvexConvex</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p12)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static float</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#intersectConvexConvex(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)">intersectConvexConvex</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p12,
boolean handleNested)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#invertAffineTransform(org.opencv.core.Mat, org.opencv.core.Mat)">invertAffineTransform</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> iM)</CODE>
<BR>
Inverts an affine transformation.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static boolean</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#isContourConvex(org.opencv.core.MatOfPoint)">isContourConvex</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> contour)</CODE>
<BR>
Tests a contour convexity.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int)">Laplacian</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth)</CODE>
<BR>
Calculates the Laplacian of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double)">Laplacian</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int ksize,
double scale,
double delta)</CODE>
<BR>
Calculates the Laplacian of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)">Laplacian</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int ksize,
double scale,
double delta,
int borderType)</CODE>
<BR>
Calculates the Laplacian of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#matchShapes(org.opencv.core.Mat, org.opencv.core.Mat, int, double)">matchShapes</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour2,
int method,
double parameter)</CODE>
<BR>
Compares two shapes.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)">matchTemplate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> templ,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> result,
int method)</CODE>
<BR>
Compares a template against overlapped image regions.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)">medianBlur</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize)</CODE>
<BR>
Blurs an image using the median filter.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#minAreaRect(org.opencv.core.MatOfPoint2f)">minAreaRect</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points)</CODE>
<BR>
Finds a rotated rectangle of the minimum area enclosing the input 2D point
set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])">minEnclosingCircle</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
float[] radius)</CODE>
<BR>
Finds a circle of the minimum area enclosing a 2D point set.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#moments(org.opencv.core.Mat)">moments</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> array)</CODE>
<BR>
Calculates all of the moments up to the third order of a polygon or
rasterized shape.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#moments(org.opencv.core.Mat, boolean)">moments</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> array,
boolean binaryImage)</CODE>
<BR>
Calculates all of the moments up to the third order of a polygon or
rasterized shape.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat)">morphologyEx</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</CODE>
<BR>
Performs advanced morphological transformations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int)">morphologyEx</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</CODE>
<BR>
Performs advanced morphological transformations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)">morphologyEx</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Performs advanced morphological transformations.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat)">phaseCorrelate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2)</CODE>
<BR>
The function is used to detect translational shifts that occur between two
images.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">phaseCorrelate</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window)</CODE>
<BR>
The function is used to detect translational shifts that occur between two
images.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelateRes(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">phaseCorrelateRes</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelateRes(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, double[])">phaseCorrelateRes</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window,
double[] response)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pointPolygonTest(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, boolean)">pointPolygonTest</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> contour,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> pt,
boolean measureDist)</CODE>
<BR>
Performs a point-in-contour test.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int)">preCornerDetect</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize)</CODE>
<BR>
Calculates a feature map for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)">preCornerDetect</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize,
int borderType)</CODE>
<BR>
Calculates a feature map for corner detection.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#PSNR(org.opencv.core.Mat, org.opencv.core.Mat)">PSNR</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2)</CODE>
<BR>
</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrDown(org.opencv.core.Mat, org.opencv.core.Mat)">pyrDown</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Blurs an image and downsamples it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrDown(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">pyrDown</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize)</CODE>
<BR>
Blurs an image and downsamples it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrDown(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)">pyrDown</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize,
int borderType)</CODE>
<BR>
Blurs an image and downsamples it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrMeanShiftFiltering(org.opencv.core.Mat, org.opencv.core.Mat, double, double)">pyrMeanShiftFiltering</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double sp,
double sr)</CODE>
<BR>
Performs initial step of meanshift segmentation of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrMeanShiftFiltering(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, org.opencv.core.TermCriteria)">pyrMeanShiftFiltering</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double sp,
double sr,
int maxLevel,
<A HREF="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</A> termcrit)</CODE>
<BR>
Performs initial step of meanshift segmentation of an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrUp(org.opencv.core.Mat, org.opencv.core.Mat)">pyrUp</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</CODE>
<BR>
Upsamples an image and then blurs it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrUp(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">pyrUp</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize)</CODE>
<BR>
Upsamples an image and then blurs it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#pyrUp(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)">pyrUp</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize,
int borderType)</CODE>
<BR>
Upsamples an image and then blurs it.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)">remap</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int interpolation)</CODE>
<BR>
Applies a generic geometrical transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)">remap</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int interpolation,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Applies a generic geometrical transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">resize</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</CODE>
<BR>
Resizes an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)">resize</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
double fx,
double fy,
int interpolation)</CODE>
<BR>
Resizes an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">Scharr</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy)</CODE>
<BR>
Calculates the first x- or y- image derivative using Scharr operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double)">Scharr</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
double scale,
double delta)</CODE>
<BR>
Calculates the first x- or y- image derivative using Scharr operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)">Scharr</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
double scale,
double delta,
int borderType)</CODE>
<BR>
Calculates the first x- or y- image derivative using Scharr operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat)">sepFilter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY)</CODE>
<BR>
Applies a separable linear filter to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double)">sepFilter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta)</CODE>
<BR>
Applies a separable linear filter to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)">sepFilter2D</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta,
int borderType)</CODE>
<BR>
Applies a separable linear filter to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)">Sobel</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy)</CODE>
<BR>
Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double)">Sobel</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta)</CODE>
<BR>
Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)">Sobel</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta,
int borderType)</CODE>
<BR>
Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static double</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#threshold(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)">threshold</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double thresh,
double maxval,
int type)</CODE>
<BR>
Applies a fixed-level threshold to each array element.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">undistort</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs)</CODE>
<BR>
Transforms an image to compensate for lens distortion.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">undistort</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> newCameraMatrix)</CODE>
<BR>
Transforms an image to compensate for lens distortion.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#undistortPoints(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.Mat, org.opencv.core.Mat)">undistortPoints</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs)</CODE>
<BR>
Computes the ideal point coordinates from the observed point coordinates.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#undistortPoints(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)">undistortPoints</A></B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> R,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> P)</CODE>
<BR>
Computes the ideal point coordinates from the observed point coordinates.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">warpAffine</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</CODE>
<BR>
Applies an affine transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)">warpAffine</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags)</CODE>
<BR>
Applies an affine transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)">warpAffine</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Applies an affine transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)">warpPerspective</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</CODE>
<BR>
Applies a perspective transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)">warpPerspective</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags)</CODE>
<BR>
Applies a perspective transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)">warpPerspective</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</CODE>
<BR>
Applies a perspective transformation to an image.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE>static void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../org/opencv/imgproc/Imgproc.html#watershed(org.opencv.core.Mat, org.opencv.core.Mat)">watershed</A></B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> markers)</CODE>
<BR>
Performs a marker-based image segmentation using the watershed algorithm.</TD>
</TR>
</TABLE>
<A NAME="methods_inherited_from_class_java.lang.Object"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#EEEEFF" CLASS="TableSubHeadingColor">
<TH ALIGN="left"><B>Methods inherited from class java.lang.Object</B></TH>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</CODE></TD>
</TR>
</TABLE>
<P>
<!-- ============ FIELD DETAIL =========== -->
<A NAME="field_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Field Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="ADAPTIVE_THRESH_GAUSSIAN_C"><!-- --></A><H3>
ADAPTIVE_THRESH_GAUSSIAN_C</H3>
<PRE>
public static final int <B>ADAPTIVE_THRESH_GAUSSIAN_C</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.ADAPTIVE_THRESH_GAUSSIAN_C">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="ADAPTIVE_THRESH_MEAN_C"><!-- --></A><H3>
ADAPTIVE_THRESH_MEAN_C</H3>
<PRE>
public static final int <B>ADAPTIVE_THRESH_MEAN_C</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.ADAPTIVE_THRESH_MEAN_C">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_CONSTANT"><!-- --></A><H3>
BORDER_CONSTANT</H3>
<PRE>
public static final int <B>BORDER_CONSTANT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_CONSTANT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_DEFAULT"><!-- --></A><H3>
BORDER_DEFAULT</H3>
<PRE>
public static final int <B>BORDER_DEFAULT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_DEFAULT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_ISOLATED"><!-- --></A><H3>
BORDER_ISOLATED</H3>
<PRE>
public static final int <B>BORDER_ISOLATED</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_ISOLATED">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_REFLECT"><!-- --></A><H3>
BORDER_REFLECT</H3>
<PRE>
public static final int <B>BORDER_REFLECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_REFLECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_REFLECT_101"><!-- --></A><H3>
BORDER_REFLECT_101</H3>
<PRE>
public static final int <B>BORDER_REFLECT_101</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_REFLECT_101">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_REFLECT101"><!-- --></A><H3>
BORDER_REFLECT101</H3>
<PRE>
public static final int <B>BORDER_REFLECT101</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_REFLECT101">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_REPLICATE"><!-- --></A><H3>
BORDER_REPLICATE</H3>
<PRE>
public static final int <B>BORDER_REPLICATE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_REPLICATE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_TRANSPARENT"><!-- --></A><H3>
BORDER_TRANSPARENT</H3>
<PRE>
public static final int <B>BORDER_TRANSPARENT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_TRANSPARENT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="BORDER_WRAP"><!-- --></A><H3>
BORDER_WRAP</H3>
<PRE>
public static final int <B>BORDER_WRAP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.BORDER_WRAP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CHAIN_APPROX_NONE"><!-- --></A><H3>
CHAIN_APPROX_NONE</H3>
<PRE>
public static final int <B>CHAIN_APPROX_NONE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CHAIN_APPROX_NONE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CHAIN_APPROX_SIMPLE"><!-- --></A><H3>
CHAIN_APPROX_SIMPLE</H3>
<PRE>
public static final int <B>CHAIN_APPROX_SIMPLE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CHAIN_APPROX_SIMPLE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CHAIN_APPROX_TC89_KCOS"><!-- --></A><H3>
CHAIN_APPROX_TC89_KCOS</H3>
<PRE>
public static final int <B>CHAIN_APPROX_TC89_KCOS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CHAIN_APPROX_TC89_KCOS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CHAIN_APPROX_TC89_L1"><!-- --></A><H3>
CHAIN_APPROX_TC89_L1</H3>
<PRE>
public static final int <B>CHAIN_APPROX_TC89_L1</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CHAIN_APPROX_TC89_L1">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerBG2BGR"><!-- --></A><H3>
COLOR_BayerBG2BGR</H3>
<PRE>
public static final int <B>COLOR_BayerBG2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerBG2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerBG2BGR_VNG"><!-- --></A><H3>
COLOR_BayerBG2BGR_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerBG2BGR_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerBG2BGR_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerBG2GRAY"><!-- --></A><H3>
COLOR_BayerBG2GRAY</H3>
<PRE>
public static final int <B>COLOR_BayerBG2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerBG2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerBG2RGB"><!-- --></A><H3>
COLOR_BayerBG2RGB</H3>
<PRE>
public static final int <B>COLOR_BayerBG2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerBG2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerBG2RGB_VNG"><!-- --></A><H3>
COLOR_BayerBG2RGB_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerBG2RGB_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerBG2RGB_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGB2BGR"><!-- --></A><H3>
COLOR_BayerGB2BGR</H3>
<PRE>
public static final int <B>COLOR_BayerGB2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGB2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGB2BGR_VNG"><!-- --></A><H3>
COLOR_BayerGB2BGR_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerGB2BGR_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGB2BGR_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGB2GRAY"><!-- --></A><H3>
COLOR_BayerGB2GRAY</H3>
<PRE>
public static final int <B>COLOR_BayerGB2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGB2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGB2RGB"><!-- --></A><H3>
COLOR_BayerGB2RGB</H3>
<PRE>
public static final int <B>COLOR_BayerGB2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGB2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGB2RGB_VNG"><!-- --></A><H3>
COLOR_BayerGB2RGB_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerGB2RGB_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGB2RGB_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGR2BGR"><!-- --></A><H3>
COLOR_BayerGR2BGR</H3>
<PRE>
public static final int <B>COLOR_BayerGR2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGR2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGR2BGR_VNG"><!-- --></A><H3>
COLOR_BayerGR2BGR_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerGR2BGR_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGR2BGR_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGR2GRAY"><!-- --></A><H3>
COLOR_BayerGR2GRAY</H3>
<PRE>
public static final int <B>COLOR_BayerGR2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGR2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGR2RGB"><!-- --></A><H3>
COLOR_BayerGR2RGB</H3>
<PRE>
public static final int <B>COLOR_BayerGR2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGR2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerGR2RGB_VNG"><!-- --></A><H3>
COLOR_BayerGR2RGB_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerGR2RGB_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerGR2RGB_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerRG2BGR"><!-- --></A><H3>
COLOR_BayerRG2BGR</H3>
<PRE>
public static final int <B>COLOR_BayerRG2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerRG2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerRG2BGR_VNG"><!-- --></A><H3>
COLOR_BayerRG2BGR_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerRG2BGR_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerRG2BGR_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerRG2GRAY"><!-- --></A><H3>
COLOR_BayerRG2GRAY</H3>
<PRE>
public static final int <B>COLOR_BayerRG2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerRG2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerRG2RGB"><!-- --></A><H3>
COLOR_BayerRG2RGB</H3>
<PRE>
public static final int <B>COLOR_BayerRG2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerRG2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BayerRG2RGB_VNG"><!-- --></A><H3>
COLOR_BayerRG2RGB_VNG</H3>
<PRE>
public static final int <B>COLOR_BayerRG2RGB_VNG</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BayerRG2RGB_VNG">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2BGR555"><!-- --></A><H3>
COLOR_BGR2BGR555</H3>
<PRE>
public static final int <B>COLOR_BGR2BGR555</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2BGR555">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2BGR565"><!-- --></A><H3>
COLOR_BGR2BGR565</H3>
<PRE>
public static final int <B>COLOR_BGR2BGR565</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2BGR565">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2BGRA"><!-- --></A><H3>
COLOR_BGR2BGRA</H3>
<PRE>
public static final int <B>COLOR_BGR2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2GRAY"><!-- --></A><H3>
COLOR_BGR2GRAY</H3>
<PRE>
public static final int <B>COLOR_BGR2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2HLS"><!-- --></A><H3>
COLOR_BGR2HLS</H3>
<PRE>
public static final int <B>COLOR_BGR2HLS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2HLS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2HLS_FULL"><!-- --></A><H3>
COLOR_BGR2HLS_FULL</H3>
<PRE>
public static final int <B>COLOR_BGR2HLS_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2HLS_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2HSV"><!-- --></A><H3>
COLOR_BGR2HSV</H3>
<PRE>
public static final int <B>COLOR_BGR2HSV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2HSV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2HSV_FULL"><!-- --></A><H3>
COLOR_BGR2HSV_FULL</H3>
<PRE>
public static final int <B>COLOR_BGR2HSV_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2HSV_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2Lab"><!-- --></A><H3>
COLOR_BGR2Lab</H3>
<PRE>
public static final int <B>COLOR_BGR2Lab</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2Lab">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2Luv"><!-- --></A><H3>
COLOR_BGR2Luv</H3>
<PRE>
public static final int <B>COLOR_BGR2Luv</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2Luv">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2RGB"><!-- --></A><H3>
COLOR_BGR2RGB</H3>
<PRE>
public static final int <B>COLOR_BGR2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2RGBA"><!-- --></A><H3>
COLOR_BGR2RGBA</H3>
<PRE>
public static final int <B>COLOR_BGR2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2XYZ"><!-- --></A><H3>
COLOR_BGR2XYZ</H3>
<PRE>
public static final int <B>COLOR_BGR2XYZ</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2XYZ">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2YCrCb"><!-- --></A><H3>
COLOR_BGR2YCrCb</H3>
<PRE>
public static final int <B>COLOR_BGR2YCrCb</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2YCrCb">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR2YUV"><!-- --></A><H3>
COLOR_BGR2YUV</H3>
<PRE>
public static final int <B>COLOR_BGR2YUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR2YUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5552BGR"><!-- --></A><H3>
COLOR_BGR5552BGR</H3>
<PRE>
public static final int <B>COLOR_BGR5552BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5552BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5552BGRA"><!-- --></A><H3>
COLOR_BGR5552BGRA</H3>
<PRE>
public static final int <B>COLOR_BGR5552BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5552BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5552GRAY"><!-- --></A><H3>
COLOR_BGR5552GRAY</H3>
<PRE>
public static final int <B>COLOR_BGR5552GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5552GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5552RGB"><!-- --></A><H3>
COLOR_BGR5552RGB</H3>
<PRE>
public static final int <B>COLOR_BGR5552RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5552RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5552RGBA"><!-- --></A><H3>
COLOR_BGR5552RGBA</H3>
<PRE>
public static final int <B>COLOR_BGR5552RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5552RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5652BGR"><!-- --></A><H3>
COLOR_BGR5652BGR</H3>
<PRE>
public static final int <B>COLOR_BGR5652BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5652BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5652BGRA"><!-- --></A><H3>
COLOR_BGR5652BGRA</H3>
<PRE>
public static final int <B>COLOR_BGR5652BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5652BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5652GRAY"><!-- --></A><H3>
COLOR_BGR5652GRAY</H3>
<PRE>
public static final int <B>COLOR_BGR5652GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5652GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5652RGB"><!-- --></A><H3>
COLOR_BGR5652RGB</H3>
<PRE>
public static final int <B>COLOR_BGR5652RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5652RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGR5652RGBA"><!-- --></A><H3>
COLOR_BGR5652RGBA</H3>
<PRE>
public static final int <B>COLOR_BGR5652RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGR5652RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2BGR"><!-- --></A><H3>
COLOR_BGRA2BGR</H3>
<PRE>
public static final int <B>COLOR_BGRA2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2BGR555"><!-- --></A><H3>
COLOR_BGRA2BGR555</H3>
<PRE>
public static final int <B>COLOR_BGRA2BGR555</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2BGR555">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2BGR565"><!-- --></A><H3>
COLOR_BGRA2BGR565</H3>
<PRE>
public static final int <B>COLOR_BGRA2BGR565</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2BGR565">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2GRAY"><!-- --></A><H3>
COLOR_BGRA2GRAY</H3>
<PRE>
public static final int <B>COLOR_BGRA2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2RGB"><!-- --></A><H3>
COLOR_BGRA2RGB</H3>
<PRE>
public static final int <B>COLOR_BGRA2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_BGRA2RGBA"><!-- --></A><H3>
COLOR_BGRA2RGBA</H3>
<PRE>
public static final int <B>COLOR_BGRA2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_BGRA2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_COLORCVT_MAX"><!-- --></A><H3>
COLOR_COLORCVT_MAX</H3>
<PRE>
public static final int <B>COLOR_COLORCVT_MAX</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_COLORCVT_MAX">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2BGR"><!-- --></A><H3>
COLOR_GRAY2BGR</H3>
<PRE>
public static final int <B>COLOR_GRAY2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2BGR555"><!-- --></A><H3>
COLOR_GRAY2BGR555</H3>
<PRE>
public static final int <B>COLOR_GRAY2BGR555</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2BGR555">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2BGR565"><!-- --></A><H3>
COLOR_GRAY2BGR565</H3>
<PRE>
public static final int <B>COLOR_GRAY2BGR565</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2BGR565">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2BGRA"><!-- --></A><H3>
COLOR_GRAY2BGRA</H3>
<PRE>
public static final int <B>COLOR_GRAY2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2RGB"><!-- --></A><H3>
COLOR_GRAY2RGB</H3>
<PRE>
public static final int <B>COLOR_GRAY2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_GRAY2RGBA"><!-- --></A><H3>
COLOR_GRAY2RGBA</H3>
<PRE>
public static final int <B>COLOR_GRAY2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_GRAY2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HLS2BGR"><!-- --></A><H3>
COLOR_HLS2BGR</H3>
<PRE>
public static final int <B>COLOR_HLS2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HLS2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HLS2BGR_FULL"><!-- --></A><H3>
COLOR_HLS2BGR_FULL</H3>
<PRE>
public static final int <B>COLOR_HLS2BGR_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HLS2BGR_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HLS2RGB"><!-- --></A><H3>
COLOR_HLS2RGB</H3>
<PRE>
public static final int <B>COLOR_HLS2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HLS2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HLS2RGB_FULL"><!-- --></A><H3>
COLOR_HLS2RGB_FULL</H3>
<PRE>
public static final int <B>COLOR_HLS2RGB_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HLS2RGB_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HSV2BGR"><!-- --></A><H3>
COLOR_HSV2BGR</H3>
<PRE>
public static final int <B>COLOR_HSV2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HSV2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HSV2BGR_FULL"><!-- --></A><H3>
COLOR_HSV2BGR_FULL</H3>
<PRE>
public static final int <B>COLOR_HSV2BGR_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HSV2BGR_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HSV2RGB"><!-- --></A><H3>
COLOR_HSV2RGB</H3>
<PRE>
public static final int <B>COLOR_HSV2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HSV2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_HSV2RGB_FULL"><!-- --></A><H3>
COLOR_HSV2RGB_FULL</H3>
<PRE>
public static final int <B>COLOR_HSV2RGB_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_HSV2RGB_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Lab2BGR"><!-- --></A><H3>
COLOR_Lab2BGR</H3>
<PRE>
public static final int <B>COLOR_Lab2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Lab2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Lab2LBGR"><!-- --></A><H3>
COLOR_Lab2LBGR</H3>
<PRE>
public static final int <B>COLOR_Lab2LBGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Lab2LBGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Lab2LRGB"><!-- --></A><H3>
COLOR_Lab2LRGB</H3>
<PRE>
public static final int <B>COLOR_Lab2LRGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Lab2LRGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Lab2RGB"><!-- --></A><H3>
COLOR_Lab2RGB</H3>
<PRE>
public static final int <B>COLOR_Lab2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Lab2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_LBGR2Lab"><!-- --></A><H3>
COLOR_LBGR2Lab</H3>
<PRE>
public static final int <B>COLOR_LBGR2Lab</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_LBGR2Lab">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_LBGR2Luv"><!-- --></A><H3>
COLOR_LBGR2Luv</H3>
<PRE>
public static final int <B>COLOR_LBGR2Luv</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_LBGR2Luv">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_LRGB2Lab"><!-- --></A><H3>
COLOR_LRGB2Lab</H3>
<PRE>
public static final int <B>COLOR_LRGB2Lab</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_LRGB2Lab">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_LRGB2Luv"><!-- --></A><H3>
COLOR_LRGB2Luv</H3>
<PRE>
public static final int <B>COLOR_LRGB2Luv</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_LRGB2Luv">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Luv2BGR"><!-- --></A><H3>
COLOR_Luv2BGR</H3>
<PRE>
public static final int <B>COLOR_Luv2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Luv2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Luv2LBGR"><!-- --></A><H3>
COLOR_Luv2LBGR</H3>
<PRE>
public static final int <B>COLOR_Luv2LBGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Luv2LBGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Luv2LRGB"><!-- --></A><H3>
COLOR_Luv2LRGB</H3>
<PRE>
public static final int <B>COLOR_Luv2LRGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Luv2LRGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_Luv2RGB"><!-- --></A><H3>
COLOR_Luv2RGB</H3>
<PRE>
public static final int <B>COLOR_Luv2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_Luv2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_mRGBA2RGBA"><!-- --></A><H3>
COLOR_mRGBA2RGBA</H3>
<PRE>
public static final int <B>COLOR_mRGBA2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_mRGBA2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2BGR"><!-- --></A><H3>
COLOR_RGB2BGR</H3>
<PRE>
public static final int <B>COLOR_RGB2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2BGR555"><!-- --></A><H3>
COLOR_RGB2BGR555</H3>
<PRE>
public static final int <B>COLOR_RGB2BGR555</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2BGR555">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2BGR565"><!-- --></A><H3>
COLOR_RGB2BGR565</H3>
<PRE>
public static final int <B>COLOR_RGB2BGR565</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2BGR565">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2BGRA"><!-- --></A><H3>
COLOR_RGB2BGRA</H3>
<PRE>
public static final int <B>COLOR_RGB2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2GRAY"><!-- --></A><H3>
COLOR_RGB2GRAY</H3>
<PRE>
public static final int <B>COLOR_RGB2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2HLS"><!-- --></A><H3>
COLOR_RGB2HLS</H3>
<PRE>
public static final int <B>COLOR_RGB2HLS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2HLS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2HLS_FULL"><!-- --></A><H3>
COLOR_RGB2HLS_FULL</H3>
<PRE>
public static final int <B>COLOR_RGB2HLS_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2HLS_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2HSV"><!-- --></A><H3>
COLOR_RGB2HSV</H3>
<PRE>
public static final int <B>COLOR_RGB2HSV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2HSV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2HSV_FULL"><!-- --></A><H3>
COLOR_RGB2HSV_FULL</H3>
<PRE>
public static final int <B>COLOR_RGB2HSV_FULL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2HSV_FULL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2Lab"><!-- --></A><H3>
COLOR_RGB2Lab</H3>
<PRE>
public static final int <B>COLOR_RGB2Lab</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2Lab">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2Luv"><!-- --></A><H3>
COLOR_RGB2Luv</H3>
<PRE>
public static final int <B>COLOR_RGB2Luv</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2Luv">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2RGBA"><!-- --></A><H3>
COLOR_RGB2RGBA</H3>
<PRE>
public static final int <B>COLOR_RGB2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2XYZ"><!-- --></A><H3>
COLOR_RGB2XYZ</H3>
<PRE>
public static final int <B>COLOR_RGB2XYZ</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2XYZ">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2YCrCb"><!-- --></A><H3>
COLOR_RGB2YCrCb</H3>
<PRE>
public static final int <B>COLOR_RGB2YCrCb</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2YCrCb">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGB2YUV"><!-- --></A><H3>
COLOR_RGB2YUV</H3>
<PRE>
public static final int <B>COLOR_RGB2YUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGB2YUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2BGR"><!-- --></A><H3>
COLOR_RGBA2BGR</H3>
<PRE>
public static final int <B>COLOR_RGBA2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2BGR555"><!-- --></A><H3>
COLOR_RGBA2BGR555</H3>
<PRE>
public static final int <B>COLOR_RGBA2BGR555</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2BGR555">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2BGR565"><!-- --></A><H3>
COLOR_RGBA2BGR565</H3>
<PRE>
public static final int <B>COLOR_RGBA2BGR565</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2BGR565">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2BGRA"><!-- --></A><H3>
COLOR_RGBA2BGRA</H3>
<PRE>
public static final int <B>COLOR_RGBA2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2GRAY"><!-- --></A><H3>
COLOR_RGBA2GRAY</H3>
<PRE>
public static final int <B>COLOR_RGBA2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2mRGBA"><!-- --></A><H3>
COLOR_RGBA2mRGBA</H3>
<PRE>
public static final int <B>COLOR_RGBA2mRGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2mRGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_RGBA2RGB"><!-- --></A><H3>
COLOR_RGBA2RGB</H3>
<PRE>
public static final int <B>COLOR_RGBA2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_RGBA2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_XYZ2BGR"><!-- --></A><H3>
COLOR_XYZ2BGR</H3>
<PRE>
public static final int <B>COLOR_XYZ2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_XYZ2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_XYZ2RGB"><!-- --></A><H3>
COLOR_XYZ2RGB</H3>
<PRE>
public static final int <B>COLOR_XYZ2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_XYZ2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YCrCb2BGR"><!-- --></A><H3>
COLOR_YCrCb2BGR</H3>
<PRE>
public static final int <B>COLOR_YCrCb2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YCrCb2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YCrCb2RGB"><!-- --></A><H3>
COLOR_YCrCb2RGB</H3>
<PRE>
public static final int <B>COLOR_YCrCb2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YCrCb2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR"><!-- --></A><H3>
COLOR_YUV2BGR</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_I420"><!-- --></A><H3>
COLOR_YUV2BGR_I420</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_I420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_I420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_IYUV"><!-- --></A><H3>
COLOR_YUV2BGR_IYUV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_IYUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_IYUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_NV12"><!-- --></A><H3>
COLOR_YUV2BGR_NV12</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_NV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_NV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_NV21"><!-- --></A><H3>
COLOR_YUV2BGR_NV21</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_NV21</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_NV21">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_UYNV"><!-- --></A><H3>
COLOR_YUV2BGR_UYNV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_UYNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_UYNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_UYVY"><!-- --></A><H3>
COLOR_YUV2BGR_UYVY</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_UYVY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_UYVY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_Y422"><!-- --></A><H3>
COLOR_YUV2BGR_Y422</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_Y422</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_Y422">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_YUNV"><!-- --></A><H3>
COLOR_YUV2BGR_YUNV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_YUNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_YUNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_YUY2"><!-- --></A><H3>
COLOR_YUV2BGR_YUY2</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_YUY2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_YUY2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_YUYV"><!-- --></A><H3>
COLOR_YUV2BGR_YUYV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_YUYV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_YUYV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_YV12"><!-- --></A><H3>
COLOR_YUV2BGR_YV12</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_YV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_YV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGR_YVYU"><!-- --></A><H3>
COLOR_YUV2BGR_YVYU</H3>
<PRE>
public static final int <B>COLOR_YUV2BGR_YVYU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGR_YVYU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_I420"><!-- --></A><H3>
COLOR_YUV2BGRA_I420</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_I420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_I420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_IYUV"><!-- --></A><H3>
COLOR_YUV2BGRA_IYUV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_IYUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_IYUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_NV12"><!-- --></A><H3>
COLOR_YUV2BGRA_NV12</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_NV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_NV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_NV21"><!-- --></A><H3>
COLOR_YUV2BGRA_NV21</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_NV21</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_NV21">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_UYNV"><!-- --></A><H3>
COLOR_YUV2BGRA_UYNV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_UYNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_UYNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_UYVY"><!-- --></A><H3>
COLOR_YUV2BGRA_UYVY</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_UYVY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_UYVY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_Y422"><!-- --></A><H3>
COLOR_YUV2BGRA_Y422</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_Y422</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_Y422">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_YUNV"><!-- --></A><H3>
COLOR_YUV2BGRA_YUNV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_YUNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_YUNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_YUY2"><!-- --></A><H3>
COLOR_YUV2BGRA_YUY2</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_YUY2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_YUY2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_YUYV"><!-- --></A><H3>
COLOR_YUV2BGRA_YUYV</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_YUYV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_YUYV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_YV12"><!-- --></A><H3>
COLOR_YUV2BGRA_YV12</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_YV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_YV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2BGRA_YVYU"><!-- --></A><H3>
COLOR_YUV2BGRA_YVYU</H3>
<PRE>
public static final int <B>COLOR_YUV2BGRA_YVYU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2BGRA_YVYU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_420"><!-- --></A><H3>
COLOR_YUV2GRAY_420</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_I420"><!-- --></A><H3>
COLOR_YUV2GRAY_I420</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_I420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_I420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_IYUV"><!-- --></A><H3>
COLOR_YUV2GRAY_IYUV</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_IYUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_IYUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_NV12"><!-- --></A><H3>
COLOR_YUV2GRAY_NV12</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_NV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_NV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_NV21"><!-- --></A><H3>
COLOR_YUV2GRAY_NV21</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_NV21</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_NV21">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_UYNV"><!-- --></A><H3>
COLOR_YUV2GRAY_UYNV</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_UYNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_UYNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_UYVY"><!-- --></A><H3>
COLOR_YUV2GRAY_UYVY</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_UYVY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_UYVY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_Y422"><!-- --></A><H3>
COLOR_YUV2GRAY_Y422</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_Y422</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_Y422">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_YUNV"><!-- --></A><H3>
COLOR_YUV2GRAY_YUNV</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_YUNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_YUNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_YUY2"><!-- --></A><H3>
COLOR_YUV2GRAY_YUY2</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_YUY2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_YUY2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_YUYV"><!-- --></A><H3>
COLOR_YUV2GRAY_YUYV</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_YUYV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_YUYV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_YV12"><!-- --></A><H3>
COLOR_YUV2GRAY_YV12</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_YV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_YV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2GRAY_YVYU"><!-- --></A><H3>
COLOR_YUV2GRAY_YVYU</H3>
<PRE>
public static final int <B>COLOR_YUV2GRAY_YVYU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2GRAY_YVYU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB"><!-- --></A><H3>
COLOR_YUV2RGB</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_I420"><!-- --></A><H3>
COLOR_YUV2RGB_I420</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_I420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_I420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_IYUV"><!-- --></A><H3>
COLOR_YUV2RGB_IYUV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_IYUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_IYUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_NV12"><!-- --></A><H3>
COLOR_YUV2RGB_NV12</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_NV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_NV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_NV21"><!-- --></A><H3>
COLOR_YUV2RGB_NV21</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_NV21</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_NV21">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_UYNV"><!-- --></A><H3>
COLOR_YUV2RGB_UYNV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_UYNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_UYNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_UYVY"><!-- --></A><H3>
COLOR_YUV2RGB_UYVY</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_UYVY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_UYVY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_Y422"><!-- --></A><H3>
COLOR_YUV2RGB_Y422</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_Y422</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_Y422">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_YUNV"><!-- --></A><H3>
COLOR_YUV2RGB_YUNV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_YUNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_YUNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_YUY2"><!-- --></A><H3>
COLOR_YUV2RGB_YUY2</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_YUY2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_YUY2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_YUYV"><!-- --></A><H3>
COLOR_YUV2RGB_YUYV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_YUYV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_YUYV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_YV12"><!-- --></A><H3>
COLOR_YUV2RGB_YV12</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_YV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_YV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGB_YVYU"><!-- --></A><H3>
COLOR_YUV2RGB_YVYU</H3>
<PRE>
public static final int <B>COLOR_YUV2RGB_YVYU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGB_YVYU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_I420"><!-- --></A><H3>
COLOR_YUV2RGBA_I420</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_I420</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_I420">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_IYUV"><!-- --></A><H3>
COLOR_YUV2RGBA_IYUV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_IYUV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_IYUV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_NV12"><!-- --></A><H3>
COLOR_YUV2RGBA_NV12</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_NV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_NV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_NV21"><!-- --></A><H3>
COLOR_YUV2RGBA_NV21</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_NV21</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_NV21">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_UYNV"><!-- --></A><H3>
COLOR_YUV2RGBA_UYNV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_UYNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_UYNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_UYVY"><!-- --></A><H3>
COLOR_YUV2RGBA_UYVY</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_UYVY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_UYVY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_Y422"><!-- --></A><H3>
COLOR_YUV2RGBA_Y422</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_Y422</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_Y422">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_YUNV"><!-- --></A><H3>
COLOR_YUV2RGBA_YUNV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_YUNV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_YUNV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_YUY2"><!-- --></A><H3>
COLOR_YUV2RGBA_YUY2</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_YUY2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_YUY2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_YUYV"><!-- --></A><H3>
COLOR_YUV2RGBA_YUYV</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_YUYV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_YUYV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_YV12"><!-- --></A><H3>
COLOR_YUV2RGBA_YV12</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_YV12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_YV12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV2RGBA_YVYU"><!-- --></A><H3>
COLOR_YUV2RGBA_YVYU</H3>
<PRE>
public static final int <B>COLOR_YUV2RGBA_YVYU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV2RGBA_YVYU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420p2BGR"><!-- --></A><H3>
COLOR_YUV420p2BGR</H3>
<PRE>
public static final int <B>COLOR_YUV420p2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420p2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420p2BGRA"><!-- --></A><H3>
COLOR_YUV420p2BGRA</H3>
<PRE>
public static final int <B>COLOR_YUV420p2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420p2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420p2GRAY"><!-- --></A><H3>
COLOR_YUV420p2GRAY</H3>
<PRE>
public static final int <B>COLOR_YUV420p2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420p2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420p2RGB"><!-- --></A><H3>
COLOR_YUV420p2RGB</H3>
<PRE>
public static final int <B>COLOR_YUV420p2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420p2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420p2RGBA"><!-- --></A><H3>
COLOR_YUV420p2RGBA</H3>
<PRE>
public static final int <B>COLOR_YUV420p2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420p2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420sp2BGR"><!-- --></A><H3>
COLOR_YUV420sp2BGR</H3>
<PRE>
public static final int <B>COLOR_YUV420sp2BGR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420sp2BGR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420sp2BGRA"><!-- --></A><H3>
COLOR_YUV420sp2BGRA</H3>
<PRE>
public static final int <B>COLOR_YUV420sp2BGRA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420sp2BGRA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420sp2GRAY"><!-- --></A><H3>
COLOR_YUV420sp2GRAY</H3>
<PRE>
public static final int <B>COLOR_YUV420sp2GRAY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420sp2GRAY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420sp2RGB"><!-- --></A><H3>
COLOR_YUV420sp2RGB</H3>
<PRE>
public static final int <B>COLOR_YUV420sp2RGB</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420sp2RGB">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="COLOR_YUV420sp2RGBA"><!-- --></A><H3>
COLOR_YUV420sp2RGBA</H3>
<PRE>
public static final int <B>COLOR_YUV420sp2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.COLOR_YUV420sp2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_BILATERAL"><!-- --></A><H3>
CV_BILATERAL</H3>
<PRE>
public static final int <B>CV_BILATERAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_BILATERAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_BLUR"><!-- --></A><H3>
CV_BLUR</H3>
<PRE>
public static final int <B>CV_BLUR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_BLUR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_BLUR_NO_SCALE"><!-- --></A><H3>
CV_BLUR_NO_SCALE</H3>
<PRE>
public static final int <B>CV_BLUR_NO_SCALE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_BLUR_NO_SCALE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CANNY_L2_GRADIENT"><!-- --></A><H3>
CV_CANNY_L2_GRADIENT</H3>
<PRE>
public static final int <B>CV_CANNY_L2_GRADIENT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CANNY_L2_GRADIENT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CHAIN_CODE"><!-- --></A><H3>
CV_CHAIN_CODE</H3>
<PRE>
public static final int <B>CV_CHAIN_CODE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CHAIN_CODE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CLOCKWISE"><!-- --></A><H3>
CV_CLOCKWISE</H3>
<PRE>
public static final int <B>CV_CLOCKWISE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CLOCKWISE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COMP_BHATTACHARYYA"><!-- --></A><H3>
CV_COMP_BHATTACHARYYA</H3>
<PRE>
public static final int <B>CV_COMP_BHATTACHARYYA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COMP_BHATTACHARYYA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COMP_CHISQR"><!-- --></A><H3>
CV_COMP_CHISQR</H3>
<PRE>
public static final int <B>CV_COMP_CHISQR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COMP_CHISQR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COMP_CORREL"><!-- --></A><H3>
CV_COMP_CORREL</H3>
<PRE>
public static final int <B>CV_COMP_CORREL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COMP_CORREL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COMP_HELLINGER"><!-- --></A><H3>
CV_COMP_HELLINGER</H3>
<PRE>
public static final int <B>CV_COMP_HELLINGER</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COMP_HELLINGER">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COMP_INTERSECT"><!-- --></A><H3>
CV_COMP_INTERSECT</H3>
<PRE>
public static final int <B>CV_COMP_INTERSECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COMP_INTERSECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CONTOURS_MATCH_I1"><!-- --></A><H3>
CV_CONTOURS_MATCH_I1</H3>
<PRE>
public static final int <B>CV_CONTOURS_MATCH_I1</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CONTOURS_MATCH_I1">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CONTOURS_MATCH_I2"><!-- --></A><H3>
CV_CONTOURS_MATCH_I2</H3>
<PRE>
public static final int <B>CV_CONTOURS_MATCH_I2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CONTOURS_MATCH_I2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_CONTOURS_MATCH_I3"><!-- --></A><H3>
CV_CONTOURS_MATCH_I3</H3>
<PRE>
public static final int <B>CV_CONTOURS_MATCH_I3</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_CONTOURS_MATCH_I3">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_COUNTER_CLOCKWISE"><!-- --></A><H3>
CV_COUNTER_CLOCKWISE</H3>
<PRE>
public static final int <B>CV_COUNTER_CLOCKWISE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_COUNTER_CLOCKWISE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_C"><!-- --></A><H3>
CV_DIST_C</H3>
<PRE>
public static final int <B>CV_DIST_C</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_C">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_FAIR"><!-- --></A><H3>
CV_DIST_FAIR</H3>
<PRE>
public static final int <B>CV_DIST_FAIR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_FAIR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_HUBER"><!-- --></A><H3>
CV_DIST_HUBER</H3>
<PRE>
public static final int <B>CV_DIST_HUBER</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_HUBER">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_L1"><!-- --></A><H3>
CV_DIST_L1</H3>
<PRE>
public static final int <B>CV_DIST_L1</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_L1">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_L12"><!-- --></A><H3>
CV_DIST_L12</H3>
<PRE>
public static final int <B>CV_DIST_L12</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_L12">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_L2"><!-- --></A><H3>
CV_DIST_L2</H3>
<PRE>
public static final int <B>CV_DIST_L2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_L2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_LABEL_CCOMP"><!-- --></A><H3>
CV_DIST_LABEL_CCOMP</H3>
<PRE>
public static final int <B>CV_DIST_LABEL_CCOMP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_LABEL_CCOMP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_LABEL_PIXEL"><!-- --></A><H3>
CV_DIST_LABEL_PIXEL</H3>
<PRE>
public static final int <B>CV_DIST_LABEL_PIXEL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_LABEL_PIXEL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_MASK_3"><!-- --></A><H3>
CV_DIST_MASK_3</H3>
<PRE>
public static final int <B>CV_DIST_MASK_3</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_MASK_3">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_MASK_5"><!-- --></A><H3>
CV_DIST_MASK_5</H3>
<PRE>
public static final int <B>CV_DIST_MASK_5</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_MASK_5">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_MASK_PRECISE"><!-- --></A><H3>
CV_DIST_MASK_PRECISE</H3>
<PRE>
public static final int <B>CV_DIST_MASK_PRECISE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_MASK_PRECISE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_USER"><!-- --></A><H3>
CV_DIST_USER</H3>
<PRE>
public static final int <B>CV_DIST_USER</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_USER">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_DIST_WELSCH"><!-- --></A><H3>
CV_DIST_WELSCH</H3>
<PRE>
public static final int <B>CV_DIST_WELSCH</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_DIST_WELSCH">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_GAUSSIAN"><!-- --></A><H3>
CV_GAUSSIAN</H3>
<PRE>
public static final int <B>CV_GAUSSIAN</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_GAUSSIAN">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_GAUSSIAN_5x5"><!-- --></A><H3>
CV_GAUSSIAN_5x5</H3>
<PRE>
public static final int <B>CV_GAUSSIAN_5x5</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_GAUSSIAN_5x5">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_HOUGH_GRADIENT"><!-- --></A><H3>
CV_HOUGH_GRADIENT</H3>
<PRE>
public static final int <B>CV_HOUGH_GRADIENT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_HOUGH_GRADIENT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_HOUGH_MULTI_SCALE"><!-- --></A><H3>
CV_HOUGH_MULTI_SCALE</H3>
<PRE>
public static final int <B>CV_HOUGH_MULTI_SCALE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_HOUGH_MULTI_SCALE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_HOUGH_PROBABILISTIC"><!-- --></A><H3>
CV_HOUGH_PROBABILISTIC</H3>
<PRE>
public static final int <B>CV_HOUGH_PROBABILISTIC</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_HOUGH_PROBABILISTIC">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_HOUGH_STANDARD"><!-- --></A><H3>
CV_HOUGH_STANDARD</H3>
<PRE>
public static final int <B>CV_HOUGH_STANDARD</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_HOUGH_STANDARD">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_LINK_RUNS"><!-- --></A><H3>
CV_LINK_RUNS</H3>
<PRE>
public static final int <B>CV_LINK_RUNS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_LINK_RUNS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_MAX_SOBEL_KSIZE"><!-- --></A><H3>
CV_MAX_SOBEL_KSIZE</H3>
<PRE>
public static final int <B>CV_MAX_SOBEL_KSIZE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_MAX_SOBEL_KSIZE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_MEDIAN"><!-- --></A><H3>
CV_MEDIAN</H3>
<PRE>
public static final int <B>CV_MEDIAN</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_MEDIAN">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_mRGBA2RGBA"><!-- --></A><H3>
CV_mRGBA2RGBA</H3>
<PRE>
public static final int <B>CV_mRGBA2RGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_mRGBA2RGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_POLY_APPROX_DP"><!-- --></A><H3>
CV_POLY_APPROX_DP</H3>
<PRE>
public static final int <B>CV_POLY_APPROX_DP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_POLY_APPROX_DP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_RGBA2mRGBA"><!-- --></A><H3>
CV_RGBA2mRGBA</H3>
<PRE>
public static final int <B>CV_RGBA2mRGBA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_RGBA2mRGBA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_SCHARR"><!-- --></A><H3>
CV_SCHARR</H3>
<PRE>
public static final int <B>CV_SCHARR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_SCHARR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_SHAPE_CROSS"><!-- --></A><H3>
CV_SHAPE_CROSS</H3>
<PRE>
public static final int <B>CV_SHAPE_CROSS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_SHAPE_CROSS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_SHAPE_CUSTOM"><!-- --></A><H3>
CV_SHAPE_CUSTOM</H3>
<PRE>
public static final int <B>CV_SHAPE_CUSTOM</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_SHAPE_CUSTOM">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_SHAPE_ELLIPSE"><!-- --></A><H3>
CV_SHAPE_ELLIPSE</H3>
<PRE>
public static final int <B>CV_SHAPE_ELLIPSE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_SHAPE_ELLIPSE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_SHAPE_RECT"><!-- --></A><H3>
CV_SHAPE_RECT</H3>
<PRE>
public static final int <B>CV_SHAPE_RECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_SHAPE_RECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_WARP_FILL_OUTLIERS"><!-- --></A><H3>
CV_WARP_FILL_OUTLIERS</H3>
<PRE>
public static final int <B>CV_WARP_FILL_OUTLIERS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_WARP_FILL_OUTLIERS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="CV_WARP_INVERSE_MAP"><!-- --></A><H3>
CV_WARP_INVERSE_MAP</H3>
<PRE>
public static final int <B>CV_WARP_INVERSE_MAP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.CV_WARP_INVERSE_MAP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="DIST_LABEL_CCOMP"><!-- --></A><H3>
DIST_LABEL_CCOMP</H3>
<PRE>
public static final int <B>DIST_LABEL_CCOMP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.DIST_LABEL_CCOMP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="DIST_LABEL_PIXEL"><!-- --></A><H3>
DIST_LABEL_PIXEL</H3>
<PRE>
public static final int <B>DIST_LABEL_PIXEL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.DIST_LABEL_PIXEL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="FLOODFILL_FIXED_RANGE"><!-- --></A><H3>
FLOODFILL_FIXED_RANGE</H3>
<PRE>
public static final int <B>FLOODFILL_FIXED_RANGE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.FLOODFILL_FIXED_RANGE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="FLOODFILL_MASK_ONLY"><!-- --></A><H3>
FLOODFILL_MASK_ONLY</H3>
<PRE>
public static final int <B>FLOODFILL_MASK_ONLY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.FLOODFILL_MASK_ONLY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_BGD"><!-- --></A><H3>
GC_BGD</H3>
<PRE>
public static final int <B>GC_BGD</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_BGD">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_EVAL"><!-- --></A><H3>
GC_EVAL</H3>
<PRE>
public static final int <B>GC_EVAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_EVAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_FGD"><!-- --></A><H3>
GC_FGD</H3>
<PRE>
public static final int <B>GC_FGD</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_FGD">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_INIT_WITH_MASK"><!-- --></A><H3>
GC_INIT_WITH_MASK</H3>
<PRE>
public static final int <B>GC_INIT_WITH_MASK</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_INIT_WITH_MASK">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_INIT_WITH_RECT"><!-- --></A><H3>
GC_INIT_WITH_RECT</H3>
<PRE>
public static final int <B>GC_INIT_WITH_RECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_INIT_WITH_RECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_PR_BGD"><!-- --></A><H3>
GC_PR_BGD</H3>
<PRE>
public static final int <B>GC_PR_BGD</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_PR_BGD">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GC_PR_FGD"><!-- --></A><H3>
GC_PR_FGD</H3>
<PRE>
public static final int <B>GC_PR_FGD</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GC_PR_FGD">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GHT_POSITION"><!-- --></A><H3>
GHT_POSITION</H3>
<PRE>
public static final int <B>GHT_POSITION</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GHT_POSITION">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GHT_ROTATION"><!-- --></A><H3>
GHT_ROTATION</H3>
<PRE>
public static final int <B>GHT_ROTATION</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GHT_ROTATION">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="GHT_SCALE"><!-- --></A><H3>
GHT_SCALE</H3>
<PRE>
public static final int <B>GHT_SCALE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.GHT_SCALE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_AREA"><!-- --></A><H3>
INTER_AREA</H3>
<PRE>
public static final int <B>INTER_AREA</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_AREA">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_BITS"><!-- --></A><H3>
INTER_BITS</H3>
<PRE>
public static final int <B>INTER_BITS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_BITS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_BITS2"><!-- --></A><H3>
INTER_BITS2</H3>
<PRE>
public static final int <B>INTER_BITS2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_BITS2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_CUBIC"><!-- --></A><H3>
INTER_CUBIC</H3>
<PRE>
public static final int <B>INTER_CUBIC</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_CUBIC">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_LANCZOS4"><!-- --></A><H3>
INTER_LANCZOS4</H3>
<PRE>
public static final int <B>INTER_LANCZOS4</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_LANCZOS4">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_LINEAR"><!-- --></A><H3>
INTER_LINEAR</H3>
<PRE>
public static final int <B>INTER_LINEAR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_LINEAR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_MAX"><!-- --></A><H3>
INTER_MAX</H3>
<PRE>
public static final int <B>INTER_MAX</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_MAX">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_NEAREST"><!-- --></A><H3>
INTER_NEAREST</H3>
<PRE>
public static final int <B>INTER_NEAREST</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_NEAREST">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_TAB_SIZE"><!-- --></A><H3>
INTER_TAB_SIZE</H3>
<PRE>
public static final int <B>INTER_TAB_SIZE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_TAB_SIZE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="INTER_TAB_SIZE2"><!-- --></A><H3>
INTER_TAB_SIZE2</H3>
<PRE>
public static final int <B>INTER_TAB_SIZE2</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.INTER_TAB_SIZE2">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="KERNEL_ASYMMETRICAL"><!-- --></A><H3>
KERNEL_ASYMMETRICAL</H3>
<PRE>
public static final int <B>KERNEL_ASYMMETRICAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.KERNEL_ASYMMETRICAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="KERNEL_GENERAL"><!-- --></A><H3>
KERNEL_GENERAL</H3>
<PRE>
public static final int <B>KERNEL_GENERAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.KERNEL_GENERAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="KERNEL_INTEGER"><!-- --></A><H3>
KERNEL_INTEGER</H3>
<PRE>
public static final int <B>KERNEL_INTEGER</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.KERNEL_INTEGER">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="KERNEL_SMOOTH"><!-- --></A><H3>
KERNEL_SMOOTH</H3>
<PRE>
public static final int <B>KERNEL_SMOOTH</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.KERNEL_SMOOTH">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="KERNEL_SYMMETRICAL"><!-- --></A><H3>
KERNEL_SYMMETRICAL</H3>
<PRE>
public static final int <B>KERNEL_SYMMETRICAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.KERNEL_SYMMETRICAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_BLACKHAT"><!-- --></A><H3>
MORPH_BLACKHAT</H3>
<PRE>
public static final int <B>MORPH_BLACKHAT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_BLACKHAT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_CLOSE"><!-- --></A><H3>
MORPH_CLOSE</H3>
<PRE>
public static final int <B>MORPH_CLOSE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_CLOSE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_CROSS"><!-- --></A><H3>
MORPH_CROSS</H3>
<PRE>
public static final int <B>MORPH_CROSS</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_CROSS">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_DILATE"><!-- --></A><H3>
MORPH_DILATE</H3>
<PRE>
public static final int <B>MORPH_DILATE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_DILATE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_ELLIPSE"><!-- --></A><H3>
MORPH_ELLIPSE</H3>
<PRE>
public static final int <B>MORPH_ELLIPSE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_ELLIPSE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_ERODE"><!-- --></A><H3>
MORPH_ERODE</H3>
<PRE>
public static final int <B>MORPH_ERODE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_ERODE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_GRADIENT"><!-- --></A><H3>
MORPH_GRADIENT</H3>
<PRE>
public static final int <B>MORPH_GRADIENT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_GRADIENT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_OPEN"><!-- --></A><H3>
MORPH_OPEN</H3>
<PRE>
public static final int <B>MORPH_OPEN</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_OPEN">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_RECT"><!-- --></A><H3>
MORPH_RECT</H3>
<PRE>
public static final int <B>MORPH_RECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_RECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="MORPH_TOPHAT"><!-- --></A><H3>
MORPH_TOPHAT</H3>
<PRE>
public static final int <B>MORPH_TOPHAT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.MORPH_TOPHAT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="PROJ_SPHERICAL_EQRECT"><!-- --></A><H3>
PROJ_SPHERICAL_EQRECT</H3>
<PRE>
public static final int <B>PROJ_SPHERICAL_EQRECT</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.PROJ_SPHERICAL_EQRECT">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="PROJ_SPHERICAL_ORTHO"><!-- --></A><H3>
PROJ_SPHERICAL_ORTHO</H3>
<PRE>
public static final int <B>PROJ_SPHERICAL_ORTHO</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.PROJ_SPHERICAL_ORTHO">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="RETR_CCOMP"><!-- --></A><H3>
RETR_CCOMP</H3>
<PRE>
public static final int <B>RETR_CCOMP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.RETR_CCOMP">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="RETR_EXTERNAL"><!-- --></A><H3>
RETR_EXTERNAL</H3>
<PRE>
public static final int <B>RETR_EXTERNAL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.RETR_EXTERNAL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="RETR_FLOODFILL"><!-- --></A><H3>
RETR_FLOODFILL</H3>
<PRE>
public static final int <B>RETR_FLOODFILL</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.RETR_FLOODFILL">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="RETR_LIST"><!-- --></A><H3>
RETR_LIST</H3>
<PRE>
public static final int <B>RETR_LIST</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.RETR_LIST">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="RETR_TREE"><!-- --></A><H3>
RETR_TREE</H3>
<PRE>
public static final int <B>RETR_TREE</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.RETR_TREE">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_BINARY"><!-- --></A><H3>
THRESH_BINARY</H3>
<PRE>
public static final int <B>THRESH_BINARY</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_BINARY">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_BINARY_INV"><!-- --></A><H3>
THRESH_BINARY_INV</H3>
<PRE>
public static final int <B>THRESH_BINARY_INV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_BINARY_INV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_MASK"><!-- --></A><H3>
THRESH_MASK</H3>
<PRE>
public static final int <B>THRESH_MASK</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_MASK">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_OTSU"><!-- --></A><H3>
THRESH_OTSU</H3>
<PRE>
public static final int <B>THRESH_OTSU</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_OTSU">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_TOZERO"><!-- --></A><H3>
THRESH_TOZERO</H3>
<PRE>
public static final int <B>THRESH_TOZERO</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_TOZERO">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_TOZERO_INV"><!-- --></A><H3>
THRESH_TOZERO_INV</H3>
<PRE>
public static final int <B>THRESH_TOZERO_INV</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_TOZERO_INV">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="THRESH_TRUNC"><!-- --></A><H3>
THRESH_TRUNC</H3>
<PRE>
public static final int <B>THRESH_TRUNC</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.THRESH_TRUNC">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_CCOEFF"><!-- --></A><H3>
TM_CCOEFF</H3>
<PRE>
public static final int <B>TM_CCOEFF</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_CCOEFF">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_CCOEFF_NORMED"><!-- --></A><H3>
TM_CCOEFF_NORMED</H3>
<PRE>
public static final int <B>TM_CCOEFF_NORMED</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_CCOEFF_NORMED">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_CCORR"><!-- --></A><H3>
TM_CCORR</H3>
<PRE>
public static final int <B>TM_CCORR</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_CCORR">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_CCORR_NORMED"><!-- --></A><H3>
TM_CCORR_NORMED</H3>
<PRE>
public static final int <B>TM_CCORR_NORMED</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_CCORR_NORMED">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_SQDIFF"><!-- --></A><H3>
TM_SQDIFF</H3>
<PRE>
public static final int <B>TM_SQDIFF</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_SQDIFF">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="TM_SQDIFF_NORMED"><!-- --></A><H3>
TM_SQDIFF_NORMED</H3>
<PRE>
public static final int <B>TM_SQDIFF_NORMED</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.TM_SQDIFF_NORMED">Constant Field Values</A></DL>
</DL>
<HR>
<A NAME="WARP_INVERSE_MAP"><!-- --></A><H3>
WARP_INVERSE_MAP</H3>
<PRE>
public static final int <B>WARP_INVERSE_MAP</B></PRE>
<DL>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../constant-values.html#org.opencv.imgproc.Imgproc.WARP_INVERSE_MAP">Constant Field Values</A></DL>
</DL>
<!-- ========= CONSTRUCTOR DETAIL ======== -->
<A NAME="constructor_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Constructor Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="Imgproc()"><!-- --></A><H3>
Imgproc</H3>
<PRE>
public <B>Imgproc</B>()</PRE>
<DL>
</DL>
<!-- ============ METHOD DETAIL ========== -->
<A NAME="method_detail"><!-- --></A>
<TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY="">
<TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor">
<TH ALIGN="left" COLSPAN="1"><FONT SIZE="+2">
<B>Method Detail</B></FONT></TH>
</TR>
</TABLE>
<A NAME="accumulate(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulate</H3>
<PRE>
public static void <B>accumulate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Adds an image to the accumulator.</p>
<p>The function adds <code>src</code> or some of its elements to
<code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src(x,y) if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<p>The functions <code>accumulate*</code> can be used, for example, to collect
statistics of a scene background viewed by a still camera and for the further
foreground-background segmentation.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulate">org.opencv.imgproc.Imgproc.accumulate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulate</H3>
<PRE>
public static void <B>accumulate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</PRE>
<DL>
<DD><p>Adds an image to the accumulator.</p>
<p>The function adds <code>src</code> or some of its elements to
<code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src(x,y) if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<p>The functions <code>accumulate*</code> can be used, for example, to collect
statistics of a scene background viewed by a still camera and for the further
foreground-background segmentation.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DD><CODE>mask</CODE> - Optional operation mask.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulate">org.opencv.imgproc.Imgproc.accumulate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulateProduct</H3>
<PRE>
public static void <B>accumulateProduct</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Adds the per-element product of two input images to the accumulator.</p>
<p>The function adds the product of two images or their selected regions to the
accumulator <code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src1(x,y) * src2(x,y) if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src1</CODE> - First input image, 1- or 3-channel, 8-bit or 32-bit floating
point.<DD><CODE>src2</CODE> - Second input image of the same type and the same size as
<code>src1</code>.<DD><CODE>dst</CODE> - Accumulator with the same number of channels as input images,
32-bit or 64-bit floating-point.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulateproduct">org.opencv.imgproc.Imgproc.accumulateProduct</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulateProduct</H3>
<PRE>
public static void <B>accumulateProduct</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</PRE>
<DL>
<DD><p>Adds the per-element product of two input images to the accumulator.</p>
<p>The function adds the product of two images or their selected regions to the
accumulator <code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src1(x,y) * src2(x,y) if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src1</CODE> - First input image, 1- or 3-channel, 8-bit or 32-bit floating
point.<DD><CODE>src2</CODE> - Second input image of the same type and the same size as
<code>src1</code>.<DD><CODE>dst</CODE> - Accumulator with the same number of channels as input images,
32-bit or 64-bit floating-point.<DD><CODE>mask</CODE> - Optional operation mask.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulateproduct">org.opencv.imgproc.Imgproc.accumulateProduct</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulateSquare</H3>
<PRE>
public static void <B>accumulateSquare</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Adds the square of a source image to the accumulator.</p>
<p>The function adds the input image <code>src</code> or its selected region,
raised to a power of 2, to the accumulator <code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src(x,y)^2 if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulatesquare">org.opencv.imgproc.Imgproc.accumulateSquare</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
accumulateSquare</H3>
<PRE>
public static void <B>accumulateSquare</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</PRE>
<DL>
<DD><p>Adds the square of a source image to the accumulator.</p>
<p>The function adds the input image <code>src</code> or its selected region,
raised to a power of 2, to the accumulator <code>dst</code> :</p>
<p><em>dst(x,y) <- dst(x,y) + src(x,y)^2 if mask(x,y) != 0</em></p>
<p>The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DD><CODE>mask</CODE> - Optional operation mask.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulatesquare">org.opencv.imgproc.Imgproc.accumulateSquare</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><CODE>accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double)"><!-- --></A><H3>
accumulateWeighted</H3>
<PRE>
public static void <B>accumulateWeighted</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double alpha)</PRE>
<DL>
<DD><p>Updates a running average.</p>
<p>The function calculates the weighted sum of the input image <code>src</code>
and the accumulator <code>dst</code> so that <code>dst</code> becomes a
running average of a frame sequence:</p>
<p><em>dst(x,y) <- (1- alpha) * dst(x,y) + alpha * src(x,y) if mask(x,y) !=
0</em></p>
<p>That is, <code>alpha</code> regulates the update speed (how fast the
accumulator "forgets" about earlier images).
The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DD><CODE>alpha</CODE> - Weight of the input image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulateweighted">org.opencv.imgproc.Imgproc.accumulateWeighted</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="accumulateWeighted(org.opencv.core.Mat, org.opencv.core.Mat, double, org.opencv.core.Mat)"><!-- --></A><H3>
accumulateWeighted</H3>
<PRE>
public static void <B>accumulateWeighted</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double alpha,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask)</PRE>
<DL>
<DD><p>Updates a running average.</p>
<p>The function calculates the weighted sum of the input image <code>src</code>
and the accumulator <code>dst</code> so that <code>dst</code> becomes a
running average of a frame sequence:</p>
<p><em>dst(x,y) <- (1- alpha) * dst(x,y) + alpha * src(x,y) if mask(x,y) !=
0</em></p>
<p>That is, <code>alpha</code> regulates the update speed (how fast the
accumulator "forgets" about earlier images).
The function supports multi-channel images. Each channel is processed
independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input image as 1- or 3-channel, 8-bit or 32-bit floating point.<DD><CODE>dst</CODE> - Accumulator image with the same number of channels as input image,
32-bit or 64-bit floating-point.<DD><CODE>alpha</CODE> - Weight of the input image.<DD><CODE>mask</CODE> - Optional operation mask.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#accumulateweighted">org.opencv.imgproc.Imgproc.accumulateWeighted</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateProduct(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>accumulateSquare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="adaptiveThreshold(org.opencv.core.Mat, org.opencv.core.Mat, double, int, int, int, double)"><!-- --></A><H3>
adaptiveThreshold</H3>
<PRE>
public static void <B>adaptiveThreshold</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double maxValue,
int adaptiveMethod,
int thresholdType,
int blockSize,
double C)</PRE>
<DL>
<DD><p>Applies an adaptive threshold to an array.</p>
<p>The function transforms a grayscale image to a binary image according to the
formulae:</p>
<ul>
<li> THRESH_BINARY
</ul>
<p><em>dst(x,y) = maxValue if src(x,y) > T(x,y); 0 otherwise</em></p>
<ul>
<li> THRESH_BINARY_INV
</ul>
<p><em>dst(x,y) = 0 if src(x,y) > T(x,y); maxValue otherwise</em></p>
<p>where <em>T(x,y)</em> is a threshold calculated individually for each pixel.</p>
<ul>
<li> For the method <code>ADAPTIVE_THRESH_MEAN_C</code>, the threshold
value <em>T(x,y)</em> is a mean of the <em>blockSize x blockSize</em>
neighborhood of <em>(x, y)</em> minus <code>C</code>.
<li> For the method <code>ADAPTIVE_THRESH_GAUSSIAN_C</code>, the threshold
value <em>T(x, y)</em> is a weighted sum (cross-correlation with a Gaussian
window) of the <em>blockSize x blockSize</em> neighborhood of <em>(x, y)</em>
minus <code>C</code>. The default sigma (standard deviation) is used for the
specified <code>blockSize</code>. See "getGaussianKernel".
</ul>
<p>The function can process the image in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source 8-bit single-channel image.<DD><CODE>dst</CODE> - Destination image of the same size and the same type as
<code>src</code>.<DD><CODE>maxValue</CODE> - Non-zero value assigned to the pixels for which the condition
is satisfied. See the details below.<DD><CODE>adaptiveMethod</CODE> - Adaptive thresholding algorithm to use,
<code>ADAPTIVE_THRESH_MEAN_C</code> or <code>ADAPTIVE_THRESH_GAUSSIAN_C</code>.
See the details below.<DD><CODE>thresholdType</CODE> - Thresholding type that must be either <code>THRESH_BINARY</code>
or <code>THRESH_BINARY_INV</code>.<DD><CODE>blockSize</CODE> - Size of a pixel neighborhood that is used to calculate a
threshold value for the pixel: 3, 5, 7, and so on.<DD><CODE>C</CODE> - Constant subtracted from the mean or weighted mean (see the details
below). Normally, it is positive but may be zero or negative as well.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#adaptivethreshold">org.opencv.imgproc.Imgproc.adaptiveThreshold</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#threshold(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)"><CODE>threshold(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="approxPolyDP(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, double, boolean)"><!-- --></A><H3>
approxPolyDP</H3>
<PRE>
public static void <B>approxPolyDP</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> curve,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> approxCurve,
double epsilon,
boolean closed)</PRE>
<DL>
<DD><p>Approximates a polygonal curve(s) with the specified precision.</p>
<p>The functions <code>approxPolyDP</code> approximate a curve or a polygon with
another curve/polygon with less vertices so that the distance between them is
less or equal to the specified precision. It uses the Douglas-Peucker
algorithm http://en.wikipedia.org/wiki/Ramer-Douglas-Peucker_algorithm</p>
<p>See http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/contours.cpp
for the function usage model.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>curve</CODE> - Input vector of a 2D point stored in:
<ul>
<li> <code>std.vector</code> or <code>Mat</code> (C++ interface)
<li> <code>Nx2</code> numpy array (Python interface)
<li> <code>CvSeq</code> or <code> </code>CvMat" (C interface)
</ul><DD><CODE>approxCurve</CODE> - Result of the approximation. The type should match the
type of the input curve. In case of C interface the approximated curve is
stored in the memory storage and pointer to it is returned.<DD><CODE>epsilon</CODE> - Parameter specifying the approximation accuracy. This is the
maximum distance between the original curve and its approximation.<DD><CODE>closed</CODE> - If true, the approximated curve is closed (its first and last
vertices are connected). Otherwise, it is not closed.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#approxpolydp">org.opencv.imgproc.Imgproc.approxPolyDP</a></DL>
</DD>
</DL>
<HR>
<A NAME="arcLength(org.opencv.core.MatOfPoint2f, boolean)"><!-- --></A><H3>
arcLength</H3>
<PRE>
public static double <B>arcLength</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> curve,
boolean closed)</PRE>
<DL>
<DD><p>Calculates a contour perimeter or a curve length.</p>
<p>The function computes a curve length or a closed contour perimeter.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>curve</CODE> - Input vector of 2D points, stored in <code>std.vector</code> or
<code>Mat</code>.<DD><CODE>closed</CODE> - Flag indicating whether the curve is closed or not.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#arclength">org.opencv.imgproc.Imgproc.arcLength</a></DL>
</DD>
</DL>
<HR>
<A NAME="bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double)"><!-- --></A><H3>
bilateralFilter</H3>
<PRE>
public static void <B>bilateralFilter</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int d,
double sigmaColor,
double sigmaSpace)</PRE>
<DL>
<DD><p>Applies the bilateral filter to an image.</p>
<p>The function applies bilateral filtering to the input image, as described in
http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html
<code>bilateralFilter</code> can reduce unwanted noise very well while
keeping edges fairly sharp. However, it is very slow compared to most
filters.</p>
<ul>
<li>Sigma values*: For simplicity, you can set the 2 sigma values to be the
same. If they are small (< 10), the filter will not have much effect, whereas
if they are large (> 150), they will have a very strong effect, making the
image look "cartoonish".
<li>Filter size*: Large filters (d > 5) are very slow, so it is recommended
to use d=5 for real-time applications, and perhaps d=9 for offline
applications that need heavy noise filtering.
</ul>
<p>This filter does not work inplace.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source 8-bit or floating-point, 1-channel or 3-channel image.<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DD><CODE>d</CODE> - Diameter of each pixel neighborhood that is used during filtering.
If it is non-positive, it is computed from <code>sigmaSpace</code>.<DD><CODE>sigmaColor</CODE> - Filter sigma in the color space. A larger value of the
parameter means that farther colors within the pixel neighborhood (see
<code>sigmaSpace</code>) will be mixed together, resulting in larger areas of
semi-equal color.<DD><CODE>sigmaSpace</CODE> - Filter sigma in the coordinate space. A larger value of the
parameter means that farther pixels will influence each other as long as
their colors are close enough (see <code>sigmaColor</code>). When
<code>d>0</code>, it specifies the neighborhood size regardless of
<code>sigmaSpace</code>. Otherwise, <code>d</code> is proportional to
<code>sigmaSpace</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#bilateralfilter">org.opencv.imgproc.Imgproc.bilateralFilter</a></DL>
</DD>
</DL>
<HR>
<A NAME="bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><!-- --></A><H3>
bilateralFilter</H3>
<PRE>
public static void <B>bilateralFilter</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int d,
double sigmaColor,
double sigmaSpace,
int borderType)</PRE>
<DL>
<DD><p>Applies the bilateral filter to an image.</p>
<p>The function applies bilateral filtering to the input image, as described in
http://www.dai.ed.ac.uk/CVonline/LOCAL_COPIES/MANDUCHI1/Bilateral_Filtering.html
<code>bilateralFilter</code> can reduce unwanted noise very well while
keeping edges fairly sharp. However, it is very slow compared to most
filters.</p>
<ul>
<li>Sigma values*: For simplicity, you can set the 2 sigma values to be the
same. If they are small (< 10), the filter will not have much effect, whereas
if they are large (> 150), they will have a very strong effect, making the
image look "cartoonish".
<li>Filter size*: Large filters (d > 5) are very slow, so it is recommended
to use d=5 for real-time applications, and perhaps d=9 for offline
applications that need heavy noise filtering.
</ul>
<p>This filter does not work inplace.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source 8-bit or floating-point, 1-channel or 3-channel image.<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DD><CODE>d</CODE> - Diameter of each pixel neighborhood that is used during filtering.
If it is non-positive, it is computed from <code>sigmaSpace</code>.<DD><CODE>sigmaColor</CODE> - Filter sigma in the color space. A larger value of the
parameter means that farther colors within the pixel neighborhood (see
<code>sigmaSpace</code>) will be mixed together, resulting in larger areas of
semi-equal color.<DD><CODE>sigmaSpace</CODE> - Filter sigma in the coordinate space. A larger value of the
parameter means that farther pixels will influence each other as long as
their colors are close enough (see <code>sigmaColor</code>). When
<code>d>0</code>, it specifies the neighborhood size regardless of
<code>sigmaSpace</code>. Otherwise, <code>d</code> is proportional to
<code>sigmaSpace</code>.<DD><CODE>borderType</CODE> - a borderType<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#bilateralfilter">org.opencv.imgproc.Imgproc.bilateralFilter</a></DL>
</DD>
</DL>
<HR>
<A NAME="blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
blur</H3>
<PRE>
public static void <B>blur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</PRE>
<DL>
<DD><p>Blurs an image using the normalized box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = 1/(ksize.width*ksize.height) 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1
</em></p>
<p>The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent
to <code>boxFilter(src, dst, src.type(), anchor, true, borderType)</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; it can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - blurring kernel size.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#blur">org.opencv.imgproc.Imgproc.blur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point)"><!-- --></A><H3>
blur</H3>
<PRE>
public static void <B>blur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor)</PRE>
<DL>
<DD><p>Blurs an image using the normalized box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = 1/(ksize.width*ksize.height) 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1
</em></p>
<p>The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent
to <code>boxFilter(src, dst, src.type(), anchor, true, borderType)</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; it can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - blurring kernel size.<DD><CODE>anchor</CODE> - anchor point; default value <code>Point(-1,-1)</code> means
that the anchor is at the kernel center.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#blur">org.opencv.imgproc.Imgproc.blur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><!-- --></A><H3>
blur</H3>
<PRE>
public static void <B>blur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int borderType)</PRE>
<DL>
<DD><p>Blurs an image using the normalized box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = 1/(ksize.width*ksize.height) 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1
</em></p>
<p>The call <code>blur(src, dst, ksize, anchor, borderType)</code> is equivalent
to <code>boxFilter(src, dst, src.type(), anchor, true, borderType)</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; it can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - blurring kernel size.<DD><CODE>anchor</CODE> - anchor point; default value <code>Point(-1,-1)</code> means
that the anchor is at the kernel center.<DD><CODE>borderType</CODE> - border mode used to extrapolate pixels outside of the
image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#blur">org.opencv.imgproc.Imgproc.blur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="borderInterpolate(int, int, int)"><!-- --></A><H3>
borderInterpolate</H3>
<PRE>
public static int <B>borderInterpolate</B>(int p,
int len,
int borderType)</PRE>
<DL>
<DD><p>Computes the source location of an extrapolated pixel.</p>
<p>The function computes and returns the coordinate of a donor pixel
corresponding to the specified extrapolated pixel when using the specified
extrapolation border mode. For example, if you use <code>BORDER_WRAP</code>
mode in the horizontal direction, <code>BORDER_REFLECT_101</code> in the
vertical direction and want to compute value of the "virtual" pixel
<code>Point(-5, 100)</code> in a floating-point image <code>img</code>, it
looks like: <code></p>
<p>// C++ code:</p>
<p>float val = img.at<float>(borderInterpolate(100, img.rows, BORDER_REFLECT_101),</p>
<p>borderInterpolate(-5, img.cols, BORDER_WRAP));</p>
<p>Normally, the function is not called directly. It is used inside </code></p>
<p>"FilterEngine" and "copyMakeBorder" to compute tables for quick
extrapolation.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>p</CODE> - 0-based coordinate of the extrapolated pixel along one of the axes,
likely <0 or >= <code>len</code>.<DD><CODE>len</CODE> - Length of the array along the corresponding axis.<DD><CODE>borderType</CODE> - Border type, one of the <code>BORDER_*</code>, except for
<code>BORDER_TRANSPARENT</code> and <code>BORDER_ISOLATED</code>. When
<code>borderType==BORDER_CONSTANT</code>, the function always returns -1,
regardless of <code>p</code> and <code>len</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#borderinterpolate">org.opencv.imgproc.Imgproc.borderInterpolate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int, org.opencv.core.Scalar)"><CODE>copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="boundingRect(org.opencv.core.MatOfPoint)"><!-- --></A><H3>
boundingRect</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> <B>boundingRect</B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points)</PRE>
<DL>
<DD><p>Calculates the up-right bounding rectangle of a point set.</p>
<p>The function calculates and returns the minimal up-right bounding rectangle
for the specified point set.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input 2D point set, stored in <code>std.vector</code> or
<code>Mat</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#boundingrect">org.opencv.imgproc.Imgproc.boundingRect</a></DL>
</DD>
</DL>
<HR>
<A NAME="boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size)"><!-- --></A><H3>
boxFilter</H3>
<PRE>
public static void <B>boxFilter</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</PRE>
<DL>
<DD><p>Blurs an image using the box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = alpha 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1 </em></p>
<p>where</p>
<p><em>alpha = 1/(ksize.width*ksize.height) when normalize=true; 1
otherwise</em></p>
<p>Unnormalized box filter is useful for computing various integral
characteristics over each pixel neighborhood, such as covariance matrices of
image derivatives (used in dense optical flow algorithms, and so on). If you
need to compute pixel sums over variable-size windows, use "integral".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ddepth</CODE> - a ddepth<DD><CODE>ksize</CODE> - blurring kernel size.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#boxfilter">org.opencv.imgproc.Imgproc.boxFilter</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#integral(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>integral(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean)"><!-- --></A><H3>
boxFilter</H3>
<PRE>
public static void <B>boxFilter</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
boolean normalize)</PRE>
<DL>
<DD><p>Blurs an image using the box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = alpha 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1 </em></p>
<p>where</p>
<p><em>alpha = 1/(ksize.width*ksize.height) when normalize=true; 1
otherwise</em></p>
<p>Unnormalized box filter is useful for computing various integral
characteristics over each pixel neighborhood, such as covariance matrices of
image derivatives (used in dense optical flow algorithms, and so on). If you
need to compute pixel sums over variable-size windows, use "integral".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ddepth</CODE> - a ddepth<DD><CODE>ksize</CODE> - blurring kernel size.<DD><CODE>anchor</CODE> - anchor point; default value <code>Point(-1,-1)</code> means
that the anchor is at the kernel center.<DD><CODE>normalize</CODE> - flag, specifying whether the kernel is normalized by its
area or not.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#boxfilter">org.opencv.imgproc.Imgproc.boxFilter</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#integral(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>integral(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><!-- --></A><H3>
boxFilter</H3>
<PRE>
public static void <B>boxFilter</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
boolean normalize,
int borderType)</PRE>
<DL>
<DD><p>Blurs an image using the box filter.</p>
<p>The function smoothes an image using the kernel:</p>
<p><em>K = alpha 1 1 1 *s 1 1
1 1 1 *s 1 1..................
1 1 1 *s 1 1 </em></p>
<p>where</p>
<p><em>alpha = 1/(ksize.width*ksize.height) when normalize=true; 1
otherwise</em></p>
<p>Unnormalized box filter is useful for computing various integral
characteristics over each pixel neighborhood, such as covariance matrices of
image derivatives (used in dense optical flow algorithms, and so on). If you
need to compute pixel sums over variable-size windows, use "integral".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ddepth</CODE> - a ddepth<DD><CODE>ksize</CODE> - blurring kernel size.<DD><CODE>anchor</CODE> - anchor point; default value <code>Point(-1,-1)</code> means
that the anchor is at the kernel center.<DD><CODE>normalize</CODE> - flag, specifying whether the kernel is normalized by its
area or not.<DD><CODE>borderType</CODE> - border mode used to extrapolate pixels outside of the
image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#boxfilter">org.opencv.imgproc.Imgproc.boxFilter</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#integral(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>integral(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="calcBackProject(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfFloat, double)"><!-- --></A><H3>
calcBackProject</H3>
<PRE>
public static void <B>calcBackProject</B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges,
double scale)</PRE>
<DL>
<DD><p>Calculates the back projection of a histogram.</p>
<p>The functions <code>calcBackProject</code> calculate the back project of the
histogram. That is, similarly to <code>calcHist</code>, at each location
<code>(x, y)</code> the function collects the values from the selected
channels in the input images and finds the corresponding histogram bin. But
instead of incrementing it, the function reads the bin value, scales it by
<code>scale</code>, and stores in <code>backProject(x,y)</code>. In terms of
statistics, the function computes probability of each element value in
respect with the empirical probability distribution represented by the
histogram. See how, for example, you can find and track a bright-colored
object in a scene:</p>
<ul>
<li> Before tracking, show the object to the camera so that it covers
almost the whole frame. Calculate a hue histogram. The histogram may have
strong maximums, corresponding to the dominant colors in the object.
<li> When tracking, calculate a back projection of a hue plane of each
input video frame using that pre-computed histogram. Threshold the back
projection to suppress weak colors. It may also make sense to suppress pixels
with non-sufficient color saturation and too dark or too bright pixels.
<li> Find connected components in the resulting picture and choose, for
example, the largest component.
</ul>
<p>This is an approximate algorithm of the "CamShift" color object tracker.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>images</CODE> - Source arrays. They all should have the same depth,
<code>CV_8U</code> or <code>CV_32F</code>, and the same size. Each of them
can have an arbitrary number of channels.<DD><CODE>channels</CODE> - The list of channels used to compute the back projection. The
number of channels must match the histogram dimensionality. The first array
channels are numerated from 0 to <code>images[0].channels()-1</code>, the
second array channels are counted from <code>images[0].channels()</code> to
<code>images[0].channels() + images[1].channels()-1</code>, and so on.<DD><CODE>hist</CODE> - Input histogram that can be dense or sparse.<DD><CODE>dst</CODE> - a dst<DD><CODE>ranges</CODE> - Array of arrays of the histogram bin boundaries in each
dimension. See "calcHist".<DD><CODE>scale</CODE> - Optional scale factor for the output back projection.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/histograms.html#calcbackproject">org.opencv.imgproc.Imgproc.calcBackProject</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#calcHist(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat, boolean)"><CODE>calcHist(java.util.List<org.opencv.core.Mat>, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="calcHist(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat)"><!-- --></A><H3>
calcHist</H3>
<PRE>
public static void <B>calcHist</B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> histSize,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges)</PRE>
<DL>
<DD><p>Calculates a histogram of a set of arrays.</p>
<p>The functions <code>calcHist</code> calculate the histogram of one or more
arrays. The elements of a tuple used to increment a histogram bin are taken
from the correspondinginput arrays at the same location. The sample below
shows how to compute a 2D Hue-Saturation histogram for a color image.
<code></p>
<p>// C++ code:</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src, hsv;</p>
<p>if(argc != 2 || !(src=imread(argv[1], 1)).data)</p>
<p>return -1;</p>
<p>cvtColor(src, hsv, CV_BGR2HSV);</p>
<p>// Quantize the hue to 30 levels</p>
<p>// and the saturation to 32 levels</p>
<p>int hbins = 30, sbins = 32;</p>
<p>int histSize[] = {hbins, sbins};</p>
<p>// hue varies from 0 to 179, see cvtColor</p>
<p>float hranges[] = { 0, 180 };</p>
<p>// saturation varies from 0 (black-gray-white) to</p>
<p>// 255 (pure spectrum color)</p>
<p>float sranges[] = { 0, 256 };</p>
<p>const float* ranges[] = { hranges, sranges };</p>
<p>MatND hist;</p>
<p>// we compute the histogram from the 0-th and 1-st channels</p>
<p>int channels[] = {0, 1};</p>
<p>calcHist(&hsv, 1, channels, Mat(), // do not use mask</p>
<p>hist, 2, histSize, ranges,</p>
<p>true, // the histogram is uniform</p>
<p>false);</p>
<p>double maxVal=0;</p>
<p>minMaxLoc(hist, 0, &maxVal, 0, 0);</p>
<p>int scale = 10;</p>
<p>Mat histImg = Mat.zeros(sbins*scale, hbins*10, CV_8UC3);</p>
<p>for(int h = 0; h < hbins; h++)</p>
<p>for(int s = 0; s < sbins; s++)</p>
<p>float binVal = hist.at<float>(h, s);</p>
<p>int intensity = cvRound(binVal*255/maxVal);</p>
<p>rectangle(histImg, Point(h*scale, s*scale),</p>
<p>Point((h+1)*scale - 1, (s+1)*scale - 1),</p>
<p>Scalar.all(intensity),</p>
<p>CV_FILLED);</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>namedWindow("H-S Histogram", 1);</p>
<p>imshow("H-S Histogram", histImg);</p>
<p>waitKey();</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>images</CODE> - Source arrays. They all should have the same depth,
<code>CV_8U</code> or <code>CV_32F</code>, and the same size. Each of them
can have an arbitrary number of channels.<DD><CODE>channels</CODE> - List of the <code>dims</code> channels used to compute the
histogram. The first array channels are numerated from 0 to <code>images[0].channels()-1</code>,
the second array channels are counted from <code>images[0].channels()</code>
to <code>images[0].channels() + images[1].channels()-1</code>, and so on.<DD><CODE>mask</CODE> - Optional mask. If the matrix is not empty, it must be an 8-bit
array of the same size as <code>images[i]</code>. The non-zero mask elements
mark the array elements counted in the histogram.<DD><CODE>hist</CODE> - Output histogram, which is a dense or sparse <code>dims</code>
-dimensional array.<DD><CODE>histSize</CODE> - Array of histogram sizes in each dimension.<DD><CODE>ranges</CODE> - Array of the <code>dims</code> arrays of the histogram bin
boundaries in each dimension. When the histogram is uniform (<code>uniform</code>
=true), then for each dimension <code>i</code> it is enough to specify the
lower (inclusive) boundary <em>L_0</em> of the 0-th histogram bin and the
upper (exclusive) boundary <em>U_(histSize[i]-1)</em> for the last histogram
bin <code>histSize[i]-1</code>. That is, in case of a uniform histogram each
of <code>ranges[i]</code> is an array of 2 elements. When the histogram is
not uniform (<code>uniform=false</code>), then each of <code>ranges[i]</code>
contains <code>histSize[i]+1</code> elements: <em>L_0, U_0=L_1, U_1=L_2,...,
U_(histSize[i]-2)=L_(histSize[i]-1), U_(histSize[i]-1)</em>. The array
elements, that are not between <em>L_0</em> and <em>U_(histSize[i]-1)</em>,
are not counted in the histogram.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/histograms.html#calchist">org.opencv.imgproc.Imgproc.calcHist</a></DL>
</DD>
</DL>
<HR>
<A NAME="calcHist(java.util.List, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat, boolean)"><!-- --></A><H3>
calcHist</H3>
<PRE>
public static void <B>calcHist</B>(java.util.List<<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A>> images,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> channels,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hist,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> histSize,
<A HREF="../../../org/opencv/core/MatOfFloat.html" title="class in org.opencv.core">MatOfFloat</A> ranges,
boolean accumulate)</PRE>
<DL>
<DD><p>Calculates a histogram of a set of arrays.</p>
<p>The functions <code>calcHist</code> calculate the histogram of one or more
arrays. The elements of a tuple used to increment a histogram bin are taken
from the correspondinginput arrays at the same location. The sample below
shows how to compute a 2D Hue-Saturation histogram for a color image.
<code></p>
<p>// C++ code:</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src, hsv;</p>
<p>if(argc != 2 || !(src=imread(argv[1], 1)).data)</p>
<p>return -1;</p>
<p>cvtColor(src, hsv, CV_BGR2HSV);</p>
<p>// Quantize the hue to 30 levels</p>
<p>// and the saturation to 32 levels</p>
<p>int hbins = 30, sbins = 32;</p>
<p>int histSize[] = {hbins, sbins};</p>
<p>// hue varies from 0 to 179, see cvtColor</p>
<p>float hranges[] = { 0, 180 };</p>
<p>// saturation varies from 0 (black-gray-white) to</p>
<p>// 255 (pure spectrum color)</p>
<p>float sranges[] = { 0, 256 };</p>
<p>const float* ranges[] = { hranges, sranges };</p>
<p>MatND hist;</p>
<p>// we compute the histogram from the 0-th and 1-st channels</p>
<p>int channels[] = {0, 1};</p>
<p>calcHist(&hsv, 1, channels, Mat(), // do not use mask</p>
<p>hist, 2, histSize, ranges,</p>
<p>true, // the histogram is uniform</p>
<p>false);</p>
<p>double maxVal=0;</p>
<p>minMaxLoc(hist, 0, &maxVal, 0, 0);</p>
<p>int scale = 10;</p>
<p>Mat histImg = Mat.zeros(sbins*scale, hbins*10, CV_8UC3);</p>
<p>for(int h = 0; h < hbins; h++)</p>
<p>for(int s = 0; s < sbins; s++)</p>
<p>float binVal = hist.at<float>(h, s);</p>
<p>int intensity = cvRound(binVal*255/maxVal);</p>
<p>rectangle(histImg, Point(h*scale, s*scale),</p>
<p>Point((h+1)*scale - 1, (s+1)*scale - 1),</p>
<p>Scalar.all(intensity),</p>
<p>CV_FILLED);</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>namedWindow("H-S Histogram", 1);</p>
<p>imshow("H-S Histogram", histImg);</p>
<p>waitKey();</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>images</CODE> - Source arrays. They all should have the same depth,
<code>CV_8U</code> or <code>CV_32F</code>, and the same size. Each of them
can have an arbitrary number of channels.<DD><CODE>channels</CODE> - List of the <code>dims</code> channels used to compute the
histogram. The first array channels are numerated from 0 to <code>images[0].channels()-1</code>,
the second array channels are counted from <code>images[0].channels()</code>
to <code>images[0].channels() + images[1].channels()-1</code>, and so on.<DD><CODE>mask</CODE> - Optional mask. If the matrix is not empty, it must be an 8-bit
array of the same size as <code>images[i]</code>. The non-zero mask elements
mark the array elements counted in the histogram.<DD><CODE>hist</CODE> - Output histogram, which is a dense or sparse <code>dims</code>
-dimensional array.<DD><CODE>histSize</CODE> - Array of histogram sizes in each dimension.<DD><CODE>ranges</CODE> - Array of the <code>dims</code> arrays of the histogram bin
boundaries in each dimension. When the histogram is uniform (<code>uniform</code>
=true), then for each dimension <code>i</code> it is enough to specify the
lower (inclusive) boundary <em>L_0</em> of the 0-th histogram bin and the
upper (exclusive) boundary <em>U_(histSize[i]-1)</em> for the last histogram
bin <code>histSize[i]-1</code>. That is, in case of a uniform histogram each
of <code>ranges[i]</code> is an array of 2 elements. When the histogram is
not uniform (<code>uniform=false</code>), then each of <code>ranges[i]</code>
contains <code>histSize[i]+1</code> elements: <em>L_0, U_0=L_1, U_1=L_2,...,
U_(histSize[i]-2)=L_(histSize[i]-1), U_(histSize[i]-1)</em>. The array
elements, that are not between <em>L_0</em> and <em>U_(histSize[i]-1)</em>,
are not counted in the histogram.<DD><CODE>accumulate</CODE> - Accumulation flag. If it is set, the histogram is not
cleared in the beginning when it is allocated. This feature enables you to
compute a single histogram from several sets of arrays, or to update the
histogram in time.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/histograms.html#calchist">org.opencv.imgproc.Imgproc.calcHist</a></DL>
</DD>
</DL>
<HR>
<A NAME="Canny(org.opencv.core.Mat, org.opencv.core.Mat, double, double)"><!-- --></A><H3>
Canny</H3>
<PRE>
public static void <B>Canny</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> edges,
double threshold1,
double threshold2)</PRE>
<DL>
<DD><p>Finds edges in an image using the [Canny86] algorithm.</p>
<p>The function finds edges in the input image <code>image</code> and marks them
in the output map <code>edges</code> using the Canny algorithm. The smallest
value between <code>threshold1</code> and <code>threshold2</code> is used for
edge linking. The largest value is used to find initial segments of strong
edges. See http://en.wikipedia.org/wiki/Canny_edge_detector</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - single-channel 8-bit input image.<DD><CODE>edges</CODE> - output edge map; it has the same size and type as
<code>image</code>.<DD><CODE>threshold1</CODE> - first threshold for the hysteresis procedure.<DD><CODE>threshold2</CODE> - second threshold for the hysteresis procedure.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#canny">org.opencv.imgproc.Imgproc.Canny</a></DL>
</DD>
</DL>
<HR>
<A NAME="Canny(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, boolean)"><!-- --></A><H3>
Canny</H3>
<PRE>
public static void <B>Canny</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> edges,
double threshold1,
double threshold2,
int apertureSize,
boolean L2gradient)</PRE>
<DL>
<DD><p>Finds edges in an image using the [Canny86] algorithm.</p>
<p>The function finds edges in the input image <code>image</code> and marks them
in the output map <code>edges</code> using the Canny algorithm. The smallest
value between <code>threshold1</code> and <code>threshold2</code> is used for
edge linking. The largest value is used to find initial segments of strong
edges. See http://en.wikipedia.org/wiki/Canny_edge_detector</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - single-channel 8-bit input image.<DD><CODE>edges</CODE> - output edge map; it has the same size and type as
<code>image</code>.<DD><CODE>threshold1</CODE> - first threshold for the hysteresis procedure.<DD><CODE>threshold2</CODE> - second threshold for the hysteresis procedure.<DD><CODE>apertureSize</CODE> - aperture size for the "Sobel" operator.<DD><CODE>L2gradient</CODE> - a flag, indicating whether a more accurate <em>L_2</em>
norm <em>=sqrt((dI/dx)^2 + (dI/dy)^2)</em> should be used to calculate the
image gradient magnitude (<code>L2gradient=true</code>), or whether the
default <em>L_1</em> norm <em>=|dI/dx|+|dI/dy|</em> is enough
(<code>L2gradient=false</code>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#canny">org.opencv.imgproc.Imgproc.Canny</a></DL>
</DD>
</DL>
<HR>
<A NAME="compareHist(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
compareHist</H3>
<PRE>
public static double <B>compareHist</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> H1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> H2,
int method)</PRE>
<DL>
<DD><p>Compares two histograms.</p>
<p>The functions <code>compareHist</code> compare two dense or two sparse
histograms using the specified method:</p>
<ul>
<li> Correlation (<code>method=CV_COMP_CORREL</code>)
</ul>
<p><em>d(H_1,H_2) = (sum_I(H_1(I) - H_1")(H_2(I) - H_2"))/(sqrt(sum_I(H_1(I) -
H_1")^2 sum_I(H_2(I) - H_2")^2))</em></p>
<p>where</p>
<p><em>H_k" = 1/(N) sum _J H_k(J)</em></p>
<p>and <em>N</em> is a total number of histogram bins.</p>
<ul>
<li> Chi-Square (<code>method=CV_COMP_CHISQR</code>)
</ul>
<p><em>d(H_1,H_2) = sum _I((H_1(I)-H_2(I))^2)/(H_1(I))</em></p>
<ul>
<li> Intersection (<code>method=CV_COMP_INTERSECT</code>)
</ul>
<p><em>d(H_1,H_2) = sum _I min(H_1(I), H_2(I))</em></p>
<ul>
<li> Bhattacharyya distance (<code>method=CV_COMP_BHATTACHARYYA</code> or
<code>method=CV_COMP_HELLINGER</code>). In fact, OpenCV computes Hellinger
distance, which is related to Bhattacharyya coefficient.
</ul>
<p><em>d(H_1,H_2) = sqrt(1 - frac(1)(sqrt(H_1" H_2" N^2)) sum_I sqrt(H_1(I) *
H_2(I)))</em></p>
<p>The function returns <em>d(H_1, H_2)</em>.</p>
<p>While the function works well with 1-, 2-, 3-dimensional dense histograms, it
may not be suitable for high-dimensional sparse histograms. In such
histograms, because of aliasing and sampling problems, the coordinates of
non-zero histogram bins can slightly shift. To compare such histograms or
more general sparse configurations of weighted points, consider using the
"EMD" function.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>H1</CODE> - First compared histogram.<DD><CODE>H2</CODE> - Second compared histogram of the same size as <code>H1</code>.<DD><CODE>method</CODE> - Comparison method that could be one of the following:
<ul>
<li> CV_COMP_CORREL Correlation
<li> CV_COMP_CHISQR Chi-Square
<li> CV_COMP_INTERSECT Intersection
<li> CV_COMP_BHATTACHARYYA Bhattacharyya distance
<li> CV_COMP_HELLINGER Synonym for <code>CV_COMP_BHATTACHARYYA</code>
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/histograms.html#comparehist">org.opencv.imgproc.Imgproc.compareHist</a></DL>
</DD>
</DL>
<HR>
<A NAME="contourArea(org.opencv.core.Mat)"><!-- --></A><H3>
contourArea</H3>
<PRE>
public static double <B>contourArea</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour)</PRE>
<DL>
<DD><p>Calculates a contour area.</p>
<p>The function computes a contour area. Similarly to "moments", the area is
computed using the Green formula. Thus, the returned area and the number of
non-zero pixels, if you draw the contour using "drawContours" or "fillPoly",
can be different.
Also, the function will most certainly give a wrong results for contours with
self-intersections.
Example: <code></p>
<p>// C++ code:</p>
<p>vector<Point> contour;</p>
<p>contour.push_back(Point2f(0, 0));</p>
<p>contour.push_back(Point2f(10, 0));</p>
<p>contour.push_back(Point2f(10, 10));</p>
<p>contour.push_back(Point2f(5, 4));</p>
<p>double area0 = contourArea(contour);</p>
<p>vector<Point> approx;</p>
<p>approxPolyDP(contour, approx, 5, true);</p>
<p>double area1 = contourArea(approx);</p>
<p>cout << "area0 =" << area0 << endl <<</p>
<p>"area1 =" << area1 << endl <<</p>
<p>"approx poly vertices" << approx.size() << endl;</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour</CODE> - Input vector of 2D points (contour vertices), stored in
<code>std.vector</code> or <code>Mat</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#contourarea">org.opencv.imgproc.Imgproc.contourArea</a></DL>
</DD>
</DL>
<HR>
<A NAME="contourArea(org.opencv.core.Mat, boolean)"><!-- --></A><H3>
contourArea</H3>
<PRE>
public static double <B>contourArea</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour,
boolean oriented)</PRE>
<DL>
<DD><p>Calculates a contour area.</p>
<p>The function computes a contour area. Similarly to "moments", the area is
computed using the Green formula. Thus, the returned area and the number of
non-zero pixels, if you draw the contour using "drawContours" or "fillPoly",
can be different.
Also, the function will most certainly give a wrong results for contours with
self-intersections.
Example: <code></p>
<p>// C++ code:</p>
<p>vector<Point> contour;</p>
<p>contour.push_back(Point2f(0, 0));</p>
<p>contour.push_back(Point2f(10, 0));</p>
<p>contour.push_back(Point2f(10, 10));</p>
<p>contour.push_back(Point2f(5, 4));</p>
<p>double area0 = contourArea(contour);</p>
<p>vector<Point> approx;</p>
<p>approxPolyDP(contour, approx, 5, true);</p>
<p>double area1 = contourArea(approx);</p>
<p>cout << "area0 =" << area0 << endl <<</p>
<p>"area1 =" << area1 << endl <<</p>
<p>"approx poly vertices" << approx.size() << endl;</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour</CODE> - Input vector of 2D points (contour vertices), stored in
<code>std.vector</code> or <code>Mat</code>.<DD><CODE>oriented</CODE> - Oriented area flag. If it is true, the function returns a
signed area value, depending on the contour orientation (clockwise or
counter-clockwise). Using this feature you can determine orientation of a
contour by taking the sign of an area. By default, the parameter is
<code>false</code>, which means that the absolute value is returned.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#contourarea">org.opencv.imgproc.Imgproc.contourArea</a></DL>
</DD>
</DL>
<HR>
<A NAME="convertMaps(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
convertMaps</H3>
<PRE>
public static void <B>convertMaps</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap2,
int dstmap1type)</PRE>
<DL>
<DD><p>Converts image transformation maps from one representation to another.</p>
<p>The function converts a pair of maps for "remap" from one representation to
another. The following options (<code>(map1.type(), map2.type())</code>
<em>-></em> <code>(dstmap1.type(), dstmap2.type())</code>) are supported:</p>
<ul>
<li> <em>(CV_32FC1, CV_32FC1) -> (CV_16SC2, CV_16UC1)</em>. This is the
most frequently used conversion operation, in which the original
floating-point maps (see "remap") are converted to a more compact and much
faster fixed-point representation. The first output array contains the
rounded coordinates and the second array (created only when <code>nninterpolation=false</code>)
contains indices in the interpolation tables.
<li> <em>(CV_32FC2) -> (CV_16SC2, CV_16UC1)</em>. The same as above but the
original maps are stored in one 2-channel matrix.
<li> Reverse conversion. Obviously, the reconstructed floating-point maps
will not be exactly the same as the originals.
</ul>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>map1</CODE> - The first input map of type <code>CV_16SC2</code>,
<code>CV_32FC1</code>, or <code>CV_32FC2</code>.<DD><CODE>map2</CODE> - The second input map of type <code>CV_16UC1</code>,
<code>CV_32FC1</code>, or none (empty matrix), respectively.<DD><CODE>dstmap1</CODE> - The first output map that has the type <code>dstmap1type</code>
and the same size as <code>src</code>.<DD><CODE>dstmap2</CODE> - The second output map.<DD><CODE>dstmap1type</CODE> - Type of the first output map that should be
<code>CV_16SC2</code>, <code>CV_32FC1</code>, or <code>CV_32FC2</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#convertmaps">org.opencv.imgproc.Imgproc.convertMaps</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="convertMaps(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)"><!-- --></A><H3>
convertMaps</H3>
<PRE>
public static void <B>convertMaps</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dstmap2,
int dstmap1type,
boolean nninterpolation)</PRE>
<DL>
<DD><p>Converts image transformation maps from one representation to another.</p>
<p>The function converts a pair of maps for "remap" from one representation to
another. The following options (<code>(map1.type(), map2.type())</code>
<em>-></em> <code>(dstmap1.type(), dstmap2.type())</code>) are supported:</p>
<ul>
<li> <em>(CV_32FC1, CV_32FC1) -> (CV_16SC2, CV_16UC1)</em>. This is the
most frequently used conversion operation, in which the original
floating-point maps (see "remap") are converted to a more compact and much
faster fixed-point representation. The first output array contains the
rounded coordinates and the second array (created only when <code>nninterpolation=false</code>)
contains indices in the interpolation tables.
<li> <em>(CV_32FC2) -> (CV_16SC2, CV_16UC1)</em>. The same as above but the
original maps are stored in one 2-channel matrix.
<li> Reverse conversion. Obviously, the reconstructed floating-point maps
will not be exactly the same as the originals.
</ul>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>map1</CODE> - The first input map of type <code>CV_16SC2</code>,
<code>CV_32FC1</code>, or <code>CV_32FC2</code>.<DD><CODE>map2</CODE> - The second input map of type <code>CV_16UC1</code>,
<code>CV_32FC1</code>, or none (empty matrix), respectively.<DD><CODE>dstmap1</CODE> - The first output map that has the type <code>dstmap1type</code>
and the same size as <code>src</code>.<DD><CODE>dstmap2</CODE> - The second output map.<DD><CODE>dstmap1type</CODE> - Type of the first output map that should be
<code>CV_16SC2</code>, <code>CV_32FC1</code>, or <code>CV_32FC2</code>.<DD><CODE>nninterpolation</CODE> - Flag indicating whether the fixed-point maps are used
for the nearest-neighbor or for a more complex interpolation.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#convertmaps">org.opencv.imgproc.Imgproc.convertMaps</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="convexHull(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt)"><!-- --></A><H3>
convexHull</H3>
<PRE>
public static void <B>convexHull</B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> hull)</PRE>
<DL>
<DD><p>Finds the convex hull of a point set.</p>
<p>The functions find the convex hull of a 2D point set using the Sklansky's
algorithm [Sklansky82] that has *O(N logN)* complexity in the current
implementation. See the OpenCV sample <code>convexhull.cpp</code> that
demonstrates the usage of different function variants.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input 2D point set, stored in <code>std.vector</code> or
<code>Mat</code>.<DD><CODE>hull</CODE> - Output convex hull. It is either an integer vector of indices or
vector of points. In the first case, the <code>hull</code> elements are
0-based indices of the convex hull points in the original array (since the
set of convex hull points is a subset of the original point set). In the
second case, <code>hull</code> elements are the convex hull points
themselves.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#convexhull">org.opencv.imgproc.Imgproc.convexHull</a></DL>
</DD>
</DL>
<HR>
<A NAME="convexHull(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt, boolean)"><!-- --></A><H3>
convexHull</H3>
<PRE>
public static void <B>convexHull</B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> points,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> hull,
boolean clockwise)</PRE>
<DL>
<DD><p>Finds the convex hull of a point set.</p>
<p>The functions find the convex hull of a 2D point set using the Sklansky's
algorithm [Sklansky82] that has *O(N logN)* complexity in the current
implementation. See the OpenCV sample <code>convexhull.cpp</code> that
demonstrates the usage of different function variants.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input 2D point set, stored in <code>std.vector</code> or
<code>Mat</code>.<DD><CODE>hull</CODE> - Output convex hull. It is either an integer vector of indices or
vector of points. In the first case, the <code>hull</code> elements are
0-based indices of the convex hull points in the original array (since the
set of convex hull points is a subset of the original point set). In the
second case, <code>hull</code> elements are the convex hull points
themselves.<DD><CODE>clockwise</CODE> - Orientation flag. If it is true, the output convex hull is
oriented clockwise. Otherwise, it is oriented counter-clockwise. The usual
screen coordinate system is assumed so that the origin is at the top-left
corner, x axis is oriented to the right, and y axis is oriented downwards.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#convexhull">org.opencv.imgproc.Imgproc.convexHull</a></DL>
</DD>
</DL>
<HR>
<A NAME="convexityDefects(org.opencv.core.MatOfPoint, org.opencv.core.MatOfInt, org.opencv.core.MatOfInt4)"><!-- --></A><H3>
convexityDefects</H3>
<PRE>
public static void <B>convexityDefects</B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> contour,
<A HREF="../../../org/opencv/core/MatOfInt.html" title="class in org.opencv.core">MatOfInt</A> convexhull,
<A HREF="../../../org/opencv/core/MatOfInt4.html" title="class in org.opencv.core">MatOfInt4</A> convexityDefects)</PRE>
<DL>
<DD><p>Finds the convexity defects of a contour.</p>
<p>The function finds all convexity defects of the input contour and returns a
sequence of the <code>CvConvexityDefect</code> structures, where
<code>CvConvexityDetect</code> is defined as: <code></p>
<p>// C++ code:</p>
<p>struct CvConvexityDefect</p>
<p>CvPoint* start; // point of the contour where the defect begins</p>
<p>CvPoint* end; // point of the contour where the defect ends</p>
<p>CvPoint* depth_point; // the farthest from the convex hull point within the
defect</p>
<p>float depth; // distance between the farthest point and the convex hull</p>
<p>};</p>
<p>The figure below displays convexity defects of a hand contour: </code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour</CODE> - Input contour.<DD><CODE>convexhull</CODE> - Convex hull obtained using "convexHull" that should contain
indices of the contour points that make the hull.<DD><CODE>convexityDefects</CODE> - The output vector of convexity defects. In C++ and
the new Python/Java interface each convexity defect is represented as
4-element integer vector (a.k.a. <code>cv.Vec4i</code>): <code>(start_index,
end_index, farthest_pt_index, fixpt_depth)</code>, where indices are 0-based
indices in the original contour of the convexity defect beginning, end and
the farthest point, and <code>fixpt_depth</code> is fixed-point approximation
(with 8 fractional bits) of the distance between the farthest contour point
and the hull. That is, to get the floating-point value of the depth will be
<code>fixpt_depth/256.0</code>. In C interface convexity defect is
represented by <code>CvConvexityDefect</code> structure - see below.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#convexitydefects">org.opencv.imgproc.Imgproc.convexityDefects</a></DL>
</DD>
</DL>
<HR>
<A NAME="copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int)"><!-- --></A><H3>
copyMakeBorder</H3>
<PRE>
public static void <B>copyMakeBorder</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int top,
int bottom,
int left,
int right,
int borderType)</PRE>
<DL>
<DD><p>Forms a border around an image.</p>
<p>The function copies the source image into the middle of the destination
image. The areas to the left, to the right, above and below the copied source
image will be filled with extrapolated pixels. This is not what
"FilterEngine" or filtering functions based on it do (they extrapolate pixels
on-fly), but what other more complex functions, including your own, may do to
simplify image boundary handling.
The function supports the mode when <code>src</code> is already in the middle
of <code>dst</code>. In this case, the function does not copy
<code>src</code> itself but simply constructs the border, for example: <code></p>
<p>// C++ code:</p>
<p>// let border be the same in all directions</p>
<p>int border=2;</p>
<p>// constructs a larger image to fit both the image and the border</p>
<p>Mat gray_buf(rgb.rows + border*2, rgb.cols + border*2, rgb.depth());</p>
<p>// select the middle part of it w/o copying data</p>
<p>Mat gray(gray_canvas, Rect(border, border, rgb.cols, rgb.rows));</p>
<p>// convert image from RGB to grayscale</p>
<p>cvtColor(rgb, gray, CV_RGB2GRAY);</p>
<p>// form a border in-place</p>
<p>copyMakeBorder(gray, gray_buf, border, border,</p>
<p>border, border, BORDER_REPLICATE);</p>
<p>// now do some custom filtering......</p>
<p>Note: </code></p>
<p>When the source image is a part (ROI) of a bigger image, the function will
try to use the pixels outside of the ROI to form a border. To disable this
feature and always do extrapolation, as if <code>src</code> was not a ROI,
use <code>borderType | BORDER_ISOLATED</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same type as <code>src</code> and the
size <code>Size(src.cols+left+right, src.rows+top+bottom)</code>.<DD><CODE>top</CODE> - a top<DD><CODE>bottom</CODE> - a bottom<DD><CODE>left</CODE> - a left<DD><CODE>right</CODE> - Parameter specifying how many pixels in each direction from the
source image rectangle to extrapolate. For example, <code>top=1, bottom=1,
left=1, right=1</code> mean that 1 pixel-wide border needs to be built.<DD><CODE>borderType</CODE> - Border type. See "borderInterpolate" for details.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#copymakeborder">org.opencv.imgproc.Imgproc.copyMakeBorder</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#borderInterpolate(int, int, int)"><CODE>borderInterpolate(int, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="copyMakeBorder(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
copyMakeBorder</H3>
<PRE>
public static void <B>copyMakeBorder</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int top,
int bottom,
int left,
int right,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> value)</PRE>
<DL>
<DD><p>Forms a border around an image.</p>
<p>The function copies the source image into the middle of the destination
image. The areas to the left, to the right, above and below the copied source
image will be filled with extrapolated pixels. This is not what
"FilterEngine" or filtering functions based on it do (they extrapolate pixels
on-fly), but what other more complex functions, including your own, may do to
simplify image boundary handling.
The function supports the mode when <code>src</code> is already in the middle
of <code>dst</code>. In this case, the function does not copy
<code>src</code> itself but simply constructs the border, for example: <code></p>
<p>// C++ code:</p>
<p>// let border be the same in all directions</p>
<p>int border=2;</p>
<p>// constructs a larger image to fit both the image and the border</p>
<p>Mat gray_buf(rgb.rows + border*2, rgb.cols + border*2, rgb.depth());</p>
<p>// select the middle part of it w/o copying data</p>
<p>Mat gray(gray_canvas, Rect(border, border, rgb.cols, rgb.rows));</p>
<p>// convert image from RGB to grayscale</p>
<p>cvtColor(rgb, gray, CV_RGB2GRAY);</p>
<p>// form a border in-place</p>
<p>copyMakeBorder(gray, gray_buf, border, border,</p>
<p>border, border, BORDER_REPLICATE);</p>
<p>// now do some custom filtering......</p>
<p>Note: </code></p>
<p>When the source image is a part (ROI) of a bigger image, the function will
try to use the pixels outside of the ROI to form a border. To disable this
feature and always do extrapolation, as if <code>src</code> was not a ROI,
use <code>borderType | BORDER_ISOLATED</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same type as <code>src</code> and the
size <code>Size(src.cols+left+right, src.rows+top+bottom)</code>.<DD><CODE>top</CODE> - a top<DD><CODE>bottom</CODE> - a bottom<DD><CODE>left</CODE> - a left<DD><CODE>right</CODE> - Parameter specifying how many pixels in each direction from the
source image rectangle to extrapolate. For example, <code>top=1, bottom=1,
left=1, right=1</code> mean that 1 pixel-wide border needs to be built.<DD><CODE>borderType</CODE> - Border type. See "borderInterpolate" for details.<DD><CODE>value</CODE> - Border value if <code>borderType==BORDER_CONSTANT</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#copymakeborder">org.opencv.imgproc.Imgproc.copyMakeBorder</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#borderInterpolate(int, int, int)"><CODE>borderInterpolate(int, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="cornerEigenValsAndVecs(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
cornerEigenValsAndVecs</H3>
<PRE>
public static void <B>cornerEigenValsAndVecs</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize)</PRE>
<DL>
<DD><p>Calculates eigenvalues and eigenvectors of image blocks for corner detection.</p>
<p>For every pixel <em>p</em>, the function <code>cornerEigenValsAndVecs</code>
considers a <code>blockSize</code> <em>x</em> <code>blockSize</code>
neighborhood <em>S(p)</em>. It calculates the covariation matrix of
derivatives over the neighborhood as:</p>
<p><em>M = sum(by: S(p))(dI/dx)^2 sum(by: S(p))(dI/dx dI/dy)^2
sum(by: S(p))(dI/dx dI/dy)^2 sum(by: S(p))(dI/dy)^2 </em></p>
<p>where the derivatives are computed using the "Sobel" operator.</p>
<p>After that, it finds eigenvectors and eigenvalues of <em>M</em> and stores
them in the destination image as <em>(lambda_1, lambda_2, x_1, y_1, x_2,
y_2)</em> where</p>
<ul>
<li> <em>lambda_1, lambda_2</em> are the non-sorted eigenvalues of
<em>M</em>
<li> <em>x_1, y_1</em> are the eigenvectors corresponding to
<em>lambda_1</em>
<li> <em>x_2, y_2</em> are the eigenvectors corresponding to
<em>lambda_2</em>
</ul>
<p>The output of the function can be used for robust edge or corner detection.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the results. It has the same size as
<code>src</code> and the type <code>CV_32FC(6)</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see details below).<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornereigenvalsandvecs">org.opencv.imgproc.Imgproc.cornerEigenValsAndVecs</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)"><CODE>cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><CODE>cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="cornerEigenValsAndVecs(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
cornerEigenValsAndVecs</H3>
<PRE>
public static void <B>cornerEigenValsAndVecs</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
int borderType)</PRE>
<DL>
<DD><p>Calculates eigenvalues and eigenvectors of image blocks for corner detection.</p>
<p>For every pixel <em>p</em>, the function <code>cornerEigenValsAndVecs</code>
considers a <code>blockSize</code> <em>x</em> <code>blockSize</code>
neighborhood <em>S(p)</em>. It calculates the covariation matrix of
derivatives over the neighborhood as:</p>
<p><em>M = sum(by: S(p))(dI/dx)^2 sum(by: S(p))(dI/dx dI/dy)^2
sum(by: S(p))(dI/dx dI/dy)^2 sum(by: S(p))(dI/dy)^2 </em></p>
<p>where the derivatives are computed using the "Sobel" operator.</p>
<p>After that, it finds eigenvectors and eigenvalues of <em>M</em> and stores
them in the destination image as <em>(lambda_1, lambda_2, x_1, y_1, x_2,
y_2)</em> where</p>
<ul>
<li> <em>lambda_1, lambda_2</em> are the non-sorted eigenvalues of
<em>M</em>
<li> <em>x_1, y_1</em> are the eigenvectors corresponding to
<em>lambda_1</em>
<li> <em>x_2, y_2</em> are the eigenvectors corresponding to
<em>lambda_2</em>
</ul>
<p>The output of the function can be used for robust edge or corner detection.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the results. It has the same size as
<code>src</code> and the type <code>CV_32FC(6)</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see details below).<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate".<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornereigenvalsandvecs">org.opencv.imgproc.Imgproc.cornerEigenValsAndVecs</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)"><CODE>cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><CODE>cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double)"><!-- --></A><H3>
cornerHarris</H3>
<PRE>
public static void <B>cornerHarris</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
double k)</PRE>
<DL>
<DD><p>Harris edge detector.</p>
<p>The function runs the Harris edge detector on the image. Similarly to
"cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
y)</em> it calculates a <em>2x2</em> gradient covariance matrix
<em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
it computes the following characteristic:</p>
<p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
<p>Corners in the image can be found as the local maxima of this response map.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the Harris detector responses. It has the type
<code>CV_32FC1</code> and the same size as <code>src</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see the details on "cornerEigenValsAndVecs").<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DD><CODE>k</CODE> - Harris detector free parameter. See the formula below.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a></DL>
</DD>
</DL>
<HR>
<A NAME="cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)"><!-- --></A><H3>
cornerHarris</H3>
<PRE>
public static void <B>cornerHarris</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
double k,
int borderType)</PRE>
<DL>
<DD><p>Harris edge detector.</p>
<p>The function runs the Harris edge detector on the image. Similarly to
"cornerMinEigenVal" and "cornerEigenValsAndVecs", for each pixel <em>(x,
y)</em> it calculates a <em>2x2</em> gradient covariance matrix
<em>M^((x,y))</em> over a <em>blockSize x blockSize</em> neighborhood. Then,
it computes the following characteristic:</p>
<p><em>dst(x,y) = det M^((x,y)) - k * (tr M^((x,y)))^2</em></p>
<p>Corners in the image can be found as the local maxima of this response map.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the Harris detector responses. It has the type
<code>CV_32FC1</code> and the same size as <code>src</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see the details on "cornerEigenValsAndVecs").<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DD><CODE>k</CODE> - Harris detector free parameter. See the formula below.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate".<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornerharris">org.opencv.imgproc.Imgproc.cornerHarris</a></DL>
</DD>
</DL>
<HR>
<A NAME="cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
cornerMinEigenVal</H3>
<PRE>
public static void <B>cornerMinEigenVal</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize)</PRE>
<DL>
<DD><p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
<p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
stores only the minimal eigenvalue of the covariance matrix of derivatives,
that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
"cornerEigenValsAndVecs" description.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the minimal eigenvalues. It has the type
<code>CV_32FC1</code> and the same size as <code>src</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see the details on "cornerEigenValsAndVecs").<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a></DL>
</DD>
</DL>
<HR>
<A NAME="cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
cornerMinEigenVal</H3>
<PRE>
public static void <B>cornerMinEigenVal</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize)</PRE>
<DL>
<DD><p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
<p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
stores only the minimal eigenvalue of the covariance matrix of derivatives,
that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
"cornerEigenValsAndVecs" description.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the minimal eigenvalues. It has the type
<code>CV_32FC1</code> and the same size as <code>src</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see the details on "cornerEigenValsAndVecs").<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a></DL>
</DD>
</DL>
<HR>
<A NAME="cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
cornerMinEigenVal</H3>
<PRE>
public static void <B>cornerMinEigenVal</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int blockSize,
int ksize,
int borderType)</PRE>
<DL>
<DD><p>Calculates the minimal eigenvalue of gradient matrices for corner detection.</p>
<p>The function is similar to "cornerEigenValsAndVecs" but it calculates and
stores only the minimal eigenvalue of the covariance matrix of derivatives,
that is, <em>min(lambda_1, lambda_2)</em> in terms of the formulae in the
"cornerEigenValsAndVecs" description.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input single-channel 8-bit or floating-point image.<DD><CODE>dst</CODE> - Image to store the minimal eigenvalues. It has the type
<code>CV_32FC1</code> and the same size as <code>src</code>.<DD><CODE>blockSize</CODE> - Neighborhood size (see the details on "cornerEigenValsAndVecs").<DD><CODE>ksize</CODE> - Aperture parameter for the "Sobel" operator.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate".<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornermineigenval">org.opencv.imgproc.Imgproc.cornerMinEigenVal</a></DL>
</DD>
</DL>
<HR>
<A NAME="cornerSubPix(org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.Size, org.opencv.core.Size, org.opencv.core.TermCriteria)"><!-- --></A><H3>
cornerSubPix</H3>
<PRE>
public static void <B>cornerSubPix</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> corners,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> winSize,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> zeroZone,
<A HREF="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</A> criteria)</PRE>
<DL>
<DD><p>Refines the corner locations.</p>
<p>The function iterates to find the sub-pixel accurate location of corners or
radial saddle points, as shown on the figure below.</p>
<p>Sub-pixel accurate corner locator is based on the observation that every
vector from the center <em>q</em> to a point <em>p</em> located within a
neighborhood of <em>q</em> is orthogonal to the image gradient at <em>p</em>
subject to image and measurement noise. Consider the expression:</p>
<p><em>epsilon _i = (DI_(p_i))^T * (q - p_i)</em></p>
<p>where <em>(DI_(p_i))</em> is an image gradient at one of the points
<em>p_i</em> in a neighborhood of <em>q</em>. The value of <em>q</em> is to
be found so that <em>epsilon_i</em> is minimized. A system of equations may
be set up with <em>epsilon_i</em> set to zero:</p>
<p><em>sum _i(DI_(p_i) * (DI_(p_i))^T) - sum _i(DI_(p_i) * (DI_(p_i))^T *
p_i)</em></p>
<p>where the gradients are summed within a neighborhood ("search window") of
<em>q</em>. Calling the first gradient term <em>G</em> and the second
gradient term <em>b</em> gives:</p>
<p><em>q = G^(-1) * b</em></p>
<p>The algorithm sets the center of the neighborhood window at this new center
<em>q</em> and then iterates until the center stays within a set threshold.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input image.<DD><CODE>corners</CODE> - Initial coordinates of the input corners and refined
coordinates provided for output.<DD><CODE>winSize</CODE> - Half of the side length of the search window. For example, if
<code>winSize=Size(5,5)</code>, then a <em>5*2+1 x 5*2+1 = 11 x 11</em>
search window is used.<DD><CODE>zeroZone</CODE> - Half of the size of the dead region in the middle of the
search zone over which the summation in the formula below is not done. It is
used sometimes to avoid possible singularities of the autocorrelation matrix.
The value of (-1,-1) indicates that there is no such a size.<DD><CODE>criteria</CODE> - Criteria for termination of the iterative process of corner
refinement. That is, the process of corner position refinement stops either
after <code>criteria.maxCount</code> iterations or when the corner position
moves by less than <code>criteria.epsilon</code> on some iteration.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#cornersubpix">org.opencv.imgproc.Imgproc.cornerSubPix</a></DL>
</DD>
</DL>
<HR>
<A NAME="createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)"><!-- --></A><H3>
createHanningWindow</H3>
<PRE>
public static void <B>createHanningWindow</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> winSize,
int type)</PRE>
<DL>
<DD><p>This function computes a Hanning window coefficients in two dimensions. See
http://en.wikipedia.org/wiki/Hann_function and http://en.wikipedia.org/wiki/Window_function
for more information.</p>
<p>An example is shown below: <code></p>
<p>// C++ code:</p>
<p>// create hanning window of size 100x100 and type CV_32F</p>
<p>Mat hann;</p>
<p>createHanningWindow(hann, Size(100, 100), CV_32F);</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>dst</CODE> - Destination array to place Hann coefficients in<DD><CODE>winSize</CODE> - The window size specifications<DD><CODE>type</CODE> - Created array type<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#createhanningwindow">org.opencv.imgproc.Imgproc.createHanningWindow</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="cvtColor(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
cvtColor</H3>
<PRE>
public static void <B>cvtColor</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int code)</PRE>
<DL>
<DD><p>Converts an image from one color space to another.</p>
<p>The function converts an input image from one color space to another. In case
of a transformation to-from RGB color space, the order of the channels should
be specified explicitly (RGB or BGR).
Note that the default color format in OpenCV is often referred to as RGB but
it is actually BGR (the bytes are reversed). So the first byte in a standard
(24-bit) color image will be an 8-bit Blue component, the second byte will be
Green, and the third byte will be Red. The fourth, fifth, and sixth bytes
would then be the second pixel (Blue, then Green, then Red), and so on.</p>
<p>The conventional ranges for R, G, and B channel values are:</p>
<ul>
<li> 0 to 255 for <code>CV_8U</code> images
<li> 0 to 65535 for <code>CV_16U</code> images
<li> 0 to 1 for <code>CV_32F</code> images
</ul>
<p>In case of linear transformations, the range does not matter.
But in case of a non-linear transformation, an input RGB image should be
normalized to the proper value range to get the correct results, for example,
for RGB<em>-></em> L*u*v* transformation. For example, if you have a 32-bit
floating-point image directly converted from an 8-bit image without any
scaling, then it will have the 0..255 value range instead of 0..1 assumed by
the function. So, before calling <code>cvtColor</code>, you need first to
scale the image down: <code></p>
<p>// C++ code:</p>
<p>img *= 1./255;</p>
<p>cvtColor(img, img, CV_BGR2Luv);</p>
<p>If you use <code>cvtColor</code> with 8-bit images, the conversion will have
some information lost. For many applications, this will not be noticeable but
it is recommended to use 32-bit images in applications that need the full
range of colors or that convert an image before an operation and then convert
back.
</code></p>
<p>The function can do the following transformations:</p>
<ul>
<li> Transformations within RGB space like adding/removing the alpha
channel, reversing the channel order, conversion to/from 16-bit RGB color
(R5:G6:B5 or R5:G5:B5), as well as conversion to/from grayscale using:
</ul>
<p><em>RGB[A] to Gray: Y <- 0.299 * R + 0.587 * G + 0.114 * B</em></p>
<p>and</p>
<p><em>Gray to RGB[A]: R <- Y, G <- Y, B <- Y, A <- 0</em></p>
<p>The conversion from a RGB image to gray is done with:</p>
<p><code></p>
<p>// C++ code:</p>
<p>cvtColor(src, bwsrc, CV_RGB2GRAY);</p>
<p></code></p>
<p>More advanced channel reordering can also be done with "mixChannels".</p>
<ul>
<li> RGB <em><-></em> CIE XYZ.Rec 709 with D65 white point
(<code>CV_BGR2XYZ, CV_RGB2XYZ, CV_XYZ2BGR, CV_XYZ2RGB</code>):
</ul>
<p><em>X
Z ltBR gt <- 0.412453 0.357580 0.180423
0.212671 0.715160 0.072169
0.019334 0.119193 0.950227 ltBR gt * R
B ltBR gt</em></p>
<p><em>R
B ltBR gt <- 3.240479 -1.53715 -0.498535
-0.969256 1.875991 0.041556
0.055648 -0.204043 1.057311 ltBR gt * X
Z ltBR gt</em></p>
<p><em>X</em>, <em>Y</em> and <em>Z</em> cover the whole value range (in case of
floating-point images, <em>Z</em> may exceed 1).</p>
<ul>
<li> RGB <em><-></em> YCrCb JPEG (or YCC) (<code>CV_BGR2YCrCb,
CV_RGB2YCrCb, CV_YCrCb2BGR, CV_YCrCb2RGB</code>)
</ul>
<p><em>Y <- 0.299 * R + 0.587 * G + 0.114 * B</em></p>
<p><em>Cr <- (R-Y) * 0.713 + delta</em></p>
<p><em>Cb <- (B-Y) * 0.564 + delta</em></p>
<p><em>R <- Y + 1.403 * (Cr - delta)</em></p>
<p><em>G <- Y - 0.344 * (Cr - delta) - 0.714 * (Cb - delta)</em></p>
<p><em>B <- Y + 1.773 * (Cb - delta)</em></p>
<p>where</p>
<p><em>delta = <= ft (128 for 8-bit images
32768 for 16-bit images
0.5 for floating-point images right.</em></p>
<p>Y, Cr, and Cb cover the whole value range.</p>
<ul>
<li> RGB <em><-></em> HSV (<code>CV_BGR2HSV, CV_RGB2HSV, CV_HSV2BGR,
CV_HSV2RGB</code>) In case of 8-bit and 16-bit images, R, G, and B are
converted to the floating-point format and scaled to fit the 0 to 1 range.
</ul>
<p><em>V <- max(R,G,B)</em></p>
<p><em>S <- (V-min(R,G,B))/(V) if V != 0; 0 otherwise</em></p>
<p><em>H <- (60(G - B))/((V-min(R,G,B))) if V=R; (120+60(B - R))/((V-min(R,G,B)))
if V=G; (240+60(R - G))/((V-min(R,G,B))) if V=B</em></p>
<p>If <em>H<0</em> then <em>H <- H+360</em>. On output <em>0 <= V <= 1</em>,
<em>0 <= S <= 1</em>, <em>0 <= H <= 360</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>V <- 255 V, S <- 255 S, H <- H/2(to fit to 0 to 255)</em></p>
<ul>
<li> 16-bit images (currently not supported)
</ul>
<p><em>V <- 65535 V, S <- 65535 S, H <- H</em></p>
<ul>
<li> 32-bit images H, S, and V are left as is
<li> RGB <em><-></em> HLS (<code>CV_BGR2HLS, CV_RGB2HLS, CV_HLS2BGR,
CV_HLS2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit the 0 to 1 range.</p>
<p><em>V_(max) <- (max)(R,G,B)</em></p>
<p><em>V_(min) <- (min)(R,G,B)</em></p>
<p><em>L <- (V_(max) + V_(min))/2</em></p>
<p><em>S <- fork ((V_(max) - V_(min))/(V_(max) + V_(min)))(if L <
0.5)<BR>((V_(max) - V_(min))/(2 - (V_(max) + V_(min))))(if L >= 0.5)</em></p>
<p><em>H <- forkthree ((60(G - B))/(S))(if V_(max)=R)<BR>((120+60(B -
R))/(S))(if V_(max)=G)<BR>((240+60(R - G))/(S))(if V_(max)=B)</em></p>
<p>If <em>H<0</em> then <em>H <- H+360</em>. On output <em>0 <= L <= 1</em>,
<em>0 <= S <= 1</em>, <em>0 <= H <= 360</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>V <- 255 * V, S <- 255 * S, H <- H/2(to fit to 0 to 255)</em></p>
<ul>
<li> 16-bit images (currently not supported)
</ul>
<p><em>V <- 65535 * V, S <- 65535 * S, H <- H</em></p>
<ul>
<li> 32-bit images H, S, V are left as is
<li> RGB <em><-></em> CIE L*a*b* (<code>CV_BGR2Lab, CV_RGB2Lab, CV_Lab2BGR,
CV_Lab2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit the 0 to 1 range.</p>
<p><em>[X Y Z] <-
|0.412453 0.357580 0.180423|
|0.212671 0.715160 0.072169|
|0.019334 0.119193 0.950227|</p>
<ul>
<li> [R G B]</em>
</ul>
<p><em>X <- X/X_n, where X_n = 0.950456</em></p>
<p><em>Z <- Z/Z_n, where Z_n = 1.088754</em></p>
<p><em>L <- 116*Y^(1/3)-16 for Y>0.008856; 903.3*Y for Y <= 0.008856</em></p>
<p><em>a <- 500(f(X)-f(Y)) + delta</em></p>
<p><em>b <- 200(f(Y)-f(Z)) + delta</em></p>
<p>where</p>
<p><em>f(t)= t^(1/3) for t>0.008856; 7.787 t+16/116 for t <= 0.008856</em></p>
<p>and</p>
<p><em>delta = 128 for 8-bit images; 0 for floating-point images</em></p>
<p>This outputs <em>0 <= L <= 100</em>, <em>-127 <= a <= 127</em>, <em>-127 <= b
<= 127</em>. The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>L <- L*255/100, a <- a + 128, b <- b + 128</em></p>
<ul>
<li> 16-bit images (currently not supported)
<li> 32-bit images L, a, and b are left as is
<li> RGB <em><-></em> CIE L*u*v* (<code>CV_BGR2Luv, CV_RGB2Luv, CV_Luv2BGR,
CV_Luv2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit 0 to 1 range.</p>
<p><em>[X Y Z] <-
|0.412453 0.357580 0.180423|
|0.212671 0.715160 0.072169|
|0.019334 0.119193 0.950227|</p>
<ul>
<li> [R G B]</em>
</ul>
<p><em>L <- 116 Y^(1/3) for Y>0.008856; 903.3 Y for Y <= 0.008856</em></p>
<p><em>u' <- 4*X/(X + 15*Y + 3 Z)</em></p>
<p><em>v' <- 9*Y/(X + 15*Y + 3 Z)</em></p>
<p><em>u <- 13*L*(u' - u_n) where u_n=0.19793943</em></p>
<p><em>v <- 13*L*(v' - v_n) where v_n=0.46831096</em></p>
<p>This outputs <em>0 <= L <= 100</em>, <em>-134 <= u <= 220</em>, <em>-140 <= v
<= 122</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>L <- 255/100 L, u <- 255/354(u + 134), v <- 255/256(v + 140)</em></p>
<ul>
<li> 16-bit images (currently not supported)
<li> 32-bit images L, u, and v are left as is
</ul>
<p>The above formulae for converting RGB to/from various color spaces have been
taken from multiple sources on the web, primarily from the Charles Poynton
site http://www.poynton.com/ColorFAQ.html</p>
<ul>
<li> Bayer <em>-></em> RGB (<code>CV_BayerBG2BGR, CV_BayerGB2BGR,
CV_BayerRG2BGR, CV_BayerGR2BGR, CV_BayerBG2RGB, CV_BayerGB2RGB,
CV_BayerRG2RGB, CV_BayerGR2RGB</code>). The Bayer pattern is widely used in
CCD and CMOS cameras. It enables you to get color pictures from a single
plane where R,G, and B pixels (sensors of a particular component) are
interleaved as follows: The output RGB components of a pixel are interpolated
from 1, 2, or <code>
</ul>
<p>// C++ code:</p>
<p>4 neighbors of the pixel having the same color. There are several</p>
<p>modifications of the above pattern that can be achieved by shifting</p>
<p>the pattern one pixel left and/or one pixel up. The two letters</p>
<p><em>C_1</em> and</p>
<p><em>C_2</em> in the conversion constants <code>CV_Bayer</code> <em>C_1
C_2</em> <code>2BGR</code> and <code>CV_Bayer</code> <em>C_1 C_2</em>
<code>2RGB</code> indicate the particular pattern</p>
<p>type. These are components from the second row, second and third</p>
<p>columns, respectively. For example, the above pattern has a very</p>
<p>popular "BG" type.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image: 8-bit unsigned, 16-bit unsigned (<code>CV_16UC...</code>),
or single-precision floating-point.<DD><CODE>dst</CODE> - output image of the same size and depth as <code>src</code>.<DD><CODE>code</CODE> - color space conversion code (see the description below).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#cvtcolor">org.opencv.imgproc.Imgproc.cvtColor</a></DL>
</DD>
</DL>
<HR>
<A NAME="cvtColor(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
cvtColor</H3>
<PRE>
public static void <B>cvtColor</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int code,
int dstCn)</PRE>
<DL>
<DD><p>Converts an image from one color space to another.</p>
<p>The function converts an input image from one color space to another. In case
of a transformation to-from RGB color space, the order of the channels should
be specified explicitly (RGB or BGR).
Note that the default color format in OpenCV is often referred to as RGB but
it is actually BGR (the bytes are reversed). So the first byte in a standard
(24-bit) color image will be an 8-bit Blue component, the second byte will be
Green, and the third byte will be Red. The fourth, fifth, and sixth bytes
would then be the second pixel (Blue, then Green, then Red), and so on.</p>
<p>The conventional ranges for R, G, and B channel values are:</p>
<ul>
<li> 0 to 255 for <code>CV_8U</code> images
<li> 0 to 65535 for <code>CV_16U</code> images
<li> 0 to 1 for <code>CV_32F</code> images
</ul>
<p>In case of linear transformations, the range does not matter.
But in case of a non-linear transformation, an input RGB image should be
normalized to the proper value range to get the correct results, for example,
for RGB<em>-></em> L*u*v* transformation. For example, if you have a 32-bit
floating-point image directly converted from an 8-bit image without any
scaling, then it will have the 0..255 value range instead of 0..1 assumed by
the function. So, before calling <code>cvtColor</code>, you need first to
scale the image down: <code></p>
<p>// C++ code:</p>
<p>img *= 1./255;</p>
<p>cvtColor(img, img, CV_BGR2Luv);</p>
<p>If you use <code>cvtColor</code> with 8-bit images, the conversion will have
some information lost. For many applications, this will not be noticeable but
it is recommended to use 32-bit images in applications that need the full
range of colors or that convert an image before an operation and then convert
back.
</code></p>
<p>The function can do the following transformations:</p>
<ul>
<li> Transformations within RGB space like adding/removing the alpha
channel, reversing the channel order, conversion to/from 16-bit RGB color
(R5:G6:B5 or R5:G5:B5), as well as conversion to/from grayscale using:
</ul>
<p><em>RGB[A] to Gray: Y <- 0.299 * R + 0.587 * G + 0.114 * B</em></p>
<p>and</p>
<p><em>Gray to RGB[A]: R <- Y, G <- Y, B <- Y, A <- 0</em></p>
<p>The conversion from a RGB image to gray is done with:</p>
<p><code></p>
<p>// C++ code:</p>
<p>cvtColor(src, bwsrc, CV_RGB2GRAY);</p>
<p></code></p>
<p>More advanced channel reordering can also be done with "mixChannels".</p>
<ul>
<li> RGB <em><-></em> CIE XYZ.Rec 709 with D65 white point
(<code>CV_BGR2XYZ, CV_RGB2XYZ, CV_XYZ2BGR, CV_XYZ2RGB</code>):
</ul>
<p><em>X
Z ltBR gt <- 0.412453 0.357580 0.180423
0.212671 0.715160 0.072169
0.019334 0.119193 0.950227 ltBR gt * R
B ltBR gt</em></p>
<p><em>R
B ltBR gt <- 3.240479 -1.53715 -0.498535
-0.969256 1.875991 0.041556
0.055648 -0.204043 1.057311 ltBR gt * X
Z ltBR gt</em></p>
<p><em>X</em>, <em>Y</em> and <em>Z</em> cover the whole value range (in case of
floating-point images, <em>Z</em> may exceed 1).</p>
<ul>
<li> RGB <em><-></em> YCrCb JPEG (or YCC) (<code>CV_BGR2YCrCb,
CV_RGB2YCrCb, CV_YCrCb2BGR, CV_YCrCb2RGB</code>)
</ul>
<p><em>Y <- 0.299 * R + 0.587 * G + 0.114 * B</em></p>
<p><em>Cr <- (R-Y) * 0.713 + delta</em></p>
<p><em>Cb <- (B-Y) * 0.564 + delta</em></p>
<p><em>R <- Y + 1.403 * (Cr - delta)</em></p>
<p><em>G <- Y - 0.344 * (Cr - delta) - 0.714 * (Cb - delta)</em></p>
<p><em>B <- Y + 1.773 * (Cb - delta)</em></p>
<p>where</p>
<p><em>delta = <= ft (128 for 8-bit images
32768 for 16-bit images
0.5 for floating-point images right.</em></p>
<p>Y, Cr, and Cb cover the whole value range.</p>
<ul>
<li> RGB <em><-></em> HSV (<code>CV_BGR2HSV, CV_RGB2HSV, CV_HSV2BGR,
CV_HSV2RGB</code>) In case of 8-bit and 16-bit images, R, G, and B are
converted to the floating-point format and scaled to fit the 0 to 1 range.
</ul>
<p><em>V <- max(R,G,B)</em></p>
<p><em>S <- (V-min(R,G,B))/(V) if V != 0; 0 otherwise</em></p>
<p><em>H <- (60(G - B))/((V-min(R,G,B))) if V=R; (120+60(B - R))/((V-min(R,G,B)))
if V=G; (240+60(R - G))/((V-min(R,G,B))) if V=B</em></p>
<p>If <em>H<0</em> then <em>H <- H+360</em>. On output <em>0 <= V <= 1</em>,
<em>0 <= S <= 1</em>, <em>0 <= H <= 360</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>V <- 255 V, S <- 255 S, H <- H/2(to fit to 0 to 255)</em></p>
<ul>
<li> 16-bit images (currently not supported)
</ul>
<p><em>V <- 65535 V, S <- 65535 S, H <- H</em></p>
<ul>
<li> 32-bit images H, S, and V are left as is
<li> RGB <em><-></em> HLS (<code>CV_BGR2HLS, CV_RGB2HLS, CV_HLS2BGR,
CV_HLS2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit the 0 to 1 range.</p>
<p><em>V_(max) <- (max)(R,G,B)</em></p>
<p><em>V_(min) <- (min)(R,G,B)</em></p>
<p><em>L <- (V_(max) + V_(min))/2</em></p>
<p><em>S <- fork ((V_(max) - V_(min))/(V_(max) + V_(min)))(if L <
0.5)<BR>((V_(max) - V_(min))/(2 - (V_(max) + V_(min))))(if L >= 0.5)</em></p>
<p><em>H <- forkthree ((60(G - B))/(S))(if V_(max)=R)<BR>((120+60(B -
R))/(S))(if V_(max)=G)<BR>((240+60(R - G))/(S))(if V_(max)=B)</em></p>
<p>If <em>H<0</em> then <em>H <- H+360</em>. On output <em>0 <= L <= 1</em>,
<em>0 <= S <= 1</em>, <em>0 <= H <= 360</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>V <- 255 * V, S <- 255 * S, H <- H/2(to fit to 0 to 255)</em></p>
<ul>
<li> 16-bit images (currently not supported)
</ul>
<p><em>V <- 65535 * V, S <- 65535 * S, H <- H</em></p>
<ul>
<li> 32-bit images H, S, V are left as is
<li> RGB <em><-></em> CIE L*a*b* (<code>CV_BGR2Lab, CV_RGB2Lab, CV_Lab2BGR,
CV_Lab2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit the 0 to 1 range.</p>
<p><em>[X Y Z] <-
|0.412453 0.357580 0.180423|
|0.212671 0.715160 0.072169|
|0.019334 0.119193 0.950227|</p>
<ul>
<li> [R G B]</em>
</ul>
<p><em>X <- X/X_n, where X_n = 0.950456</em></p>
<p><em>Z <- Z/Z_n, where Z_n = 1.088754</em></p>
<p><em>L <- 116*Y^(1/3)-16 for Y>0.008856; 903.3*Y for Y <= 0.008856</em></p>
<p><em>a <- 500(f(X)-f(Y)) + delta</em></p>
<p><em>b <- 200(f(Y)-f(Z)) + delta</em></p>
<p>where</p>
<p><em>f(t)= t^(1/3) for t>0.008856; 7.787 t+16/116 for t <= 0.008856</em></p>
<p>and</p>
<p><em>delta = 128 for 8-bit images; 0 for floating-point images</em></p>
<p>This outputs <em>0 <= L <= 100</em>, <em>-127 <= a <= 127</em>, <em>-127 <= b
<= 127</em>. The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>L <- L*255/100, a <- a + 128, b <- b + 128</em></p>
<ul>
<li> 16-bit images (currently not supported)
<li> 32-bit images L, a, and b are left as is
<li> RGB <em><-></em> CIE L*u*v* (<code>CV_BGR2Luv, CV_RGB2Luv, CV_Luv2BGR,
CV_Luv2RGB</code>).
</ul>
<p>In case of 8-bit and 16-bit images, R, G, and B are converted to the
floating-point format and scaled to fit 0 to 1 range.</p>
<p><em>[X Y Z] <-
|0.412453 0.357580 0.180423|
|0.212671 0.715160 0.072169|
|0.019334 0.119193 0.950227|</p>
<ul>
<li> [R G B]</em>
</ul>
<p><em>L <- 116 Y^(1/3) for Y>0.008856; 903.3 Y for Y <= 0.008856</em></p>
<p><em>u' <- 4*X/(X + 15*Y + 3 Z)</em></p>
<p><em>v' <- 9*Y/(X + 15*Y + 3 Z)</em></p>
<p><em>u <- 13*L*(u' - u_n) where u_n=0.19793943</em></p>
<p><em>v <- 13*L*(v' - v_n) where v_n=0.46831096</em></p>
<p>This outputs <em>0 <= L <= 100</em>, <em>-134 <= u <= 220</em>, <em>-140 <= v
<= 122</em>.</p>
<p>The values are then converted to the destination data type:</p>
<ul>
<li> 8-bit images
</ul>
<p><em>L <- 255/100 L, u <- 255/354(u + 134), v <- 255/256(v + 140)</em></p>
<ul>
<li> 16-bit images (currently not supported)
<li> 32-bit images L, u, and v are left as is
</ul>
<p>The above formulae for converting RGB to/from various color spaces have been
taken from multiple sources on the web, primarily from the Charles Poynton
site http://www.poynton.com/ColorFAQ.html</p>
<ul>
<li> Bayer <em>-></em> RGB (<code>CV_BayerBG2BGR, CV_BayerGB2BGR,
CV_BayerRG2BGR, CV_BayerGR2BGR, CV_BayerBG2RGB, CV_BayerGB2RGB,
CV_BayerRG2RGB, CV_BayerGR2RGB</code>). The Bayer pattern is widely used in
CCD and CMOS cameras. It enables you to get color pictures from a single
plane where R,G, and B pixels (sensors of a particular component) are
interleaved as follows: The output RGB components of a pixel are interpolated
from 1, 2, or <code>
</ul>
<p>// C++ code:</p>
<p>4 neighbors of the pixel having the same color. There are several</p>
<p>modifications of the above pattern that can be achieved by shifting</p>
<p>the pattern one pixel left and/or one pixel up. The two letters</p>
<p><em>C_1</em> and</p>
<p><em>C_2</em> in the conversion constants <code>CV_Bayer</code> <em>C_1
C_2</em> <code>2BGR</code> and <code>CV_Bayer</code> <em>C_1 C_2</em>
<code>2RGB</code> indicate the particular pattern</p>
<p>type. These are components from the second row, second and third</p>
<p>columns, respectively. For example, the above pattern has a very</p>
<p>popular "BG" type.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image: 8-bit unsigned, 16-bit unsigned (<code>CV_16UC...</code>),
or single-precision floating-point.<DD><CODE>dst</CODE> - output image of the same size and depth as <code>src</code>.<DD><CODE>code</CODE> - color space conversion code (see the description below).<DD><CODE>dstCn</CODE> - number of channels in the destination image; if the parameter is
0, the number of the channels is derived automatically from <code>src</code>
and <code>code</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#cvtcolor">org.opencv.imgproc.Imgproc.cvtColor</a></DL>
</DD>
</DL>
<HR>
<A NAME="dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
dilate</H3>
<PRE>
public static void <B>dilate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</PRE>
<DL>
<DD><p>Dilates an image by using a specific structuring element.</p>
<p>The function dilates the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the maximum is
taken:</p>
<p><em>dst(x,y) = max _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Dilation can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#dilate">org.opencv.imgproc.Imgproc.dilate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int)"><!-- --></A><H3>
dilate</H3>
<PRE>
public static void <B>dilate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</PRE>
<DL>
<DD><p>Dilates an image by using a specific structuring element.</p>
<p>The function dilates the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the maximum is
taken:</p>
<p><em>dst(x,y) = max _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Dilation can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - position of the anchor within the element; default value
<code>(-1, -1)</code> means that the anchor is at the element center.<DD><CODE>iterations</CODE> - number of times dilation is applied.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#dilate">org.opencv.imgproc.Imgproc.dilate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
dilate</H3>
<PRE>
public static void <B>dilate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Dilates an image by using a specific structuring element.</p>
<p>The function dilates the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the maximum is
taken:</p>
<p><em>dst(x,y) = max _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Dilation can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - position of the anchor within the element; default value
<code>(-1, -1)</code> means that the anchor is at the element center.<DD><CODE>iterations</CODE> - number of times dilation is applied.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DD><CODE>borderValue</CODE> - border value in case of a constant border (see
"createMorphologyFilter" for details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#dilate">org.opencv.imgproc.Imgproc.dilate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="distanceTransform(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
distanceTransform</H3>
<PRE>
public static void <B>distanceTransform</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int distanceType,
int maskSize)</PRE>
<DL>
<DD><p>Calculates the distance to the closest zero pixel for each pixel of the
source image.</p>
<p>The functions <code>distanceTransform</code> calculate the approximate or
precise distance from every binary image pixel to the nearest zero pixel.
For zero image pixels, the distance will obviously be zero.</p>
<p>When <code>maskSize == CV_DIST_MASK_PRECISE</code> and <code>distanceType ==
CV_DIST_L2</code>, the function runs the algorithm described in
[Felzenszwalb04]. This algorithm is parallelized with the TBB library.</p>
<p>In other cases, the algorithm [Borgefors86] is used. This means that for a
pixel the function finds the shortest path to the nearest zero pixel
consisting of basic shifts: horizontal, vertical, diagonal, or knight's move
(the latest is available for a <em>5x 5</em> mask). The overall distance is
calculated as a sum of these basic distances. Since the distance function
should be symmetric, all of the horizontal and vertical shifts must have the
same cost (denoted as <code>a</code>), all the diagonal shifts must have the
same cost (denoted as <code>b</code>), and all knight's moves must have the
same cost (denoted as <code>c</code>). For the <code>CV_DIST_C</code> and
<code>CV_DIST_L1</code> types, the distance is calculated precisely, whereas
for <code>CV_DIST_L2</code> (Euclidean distance) the distance can be
calculated only with a relative error (a <em>5x 5</em> mask gives more
accurate results). For <code>a</code>,<code>b</code>, and <code>c</code>,
OpenCV uses the values suggested in the original paper:</p>
<p>============== =================== ======================
<code>CV_DIST_C</code> <em>(3x 3)</em> a = 1, b = 1 \
============== =================== ======================
<code>CV_DIST_L1</code> <em>(3x 3)</em> a = 1, b = 2 \
<code>CV_DIST_L2</code> <em>(3x 3)</em> a=0.955, b=1.3693 \
<code>CV_DIST_L2</code> <em>(5x 5)</em> a=1, b=1.4, c=2.1969 \
============== =================== ======================</p>
<p>Typically, for a fast, coarse distance estimation <code>CV_DIST_L2</code>, a
<em>3x 3</em> mask is used. For a more accurate distance estimation
<code>CV_DIST_L2</code>, a <em>5x 5</em> mask or the precise algorithm is
used.
Note that both the precise and the approximate algorithms are linear on the
number of pixels.</p>
<p>The second variant of the function does not only compute the minimum distance
for each pixel <em>(x, y)</em> but also identifies the nearest connected
component consisting of zero pixels (<code>labelType==DIST_LABEL_CCOMP</code>)
or the nearest zero pixel (<code>labelType==DIST_LABEL_PIXEL</code>). Index
of the component/pixel is stored in <em>labels(x, y)</em>.
When <code>labelType==DIST_LABEL_CCOMP</code>, the function automatically
finds connected components of zero pixels in the input image and marks them
with distinct labels. When <code>labelType==DIST_LABEL_CCOMP</code>, the
function scans through the input image and marks all the zero pixels with
distinct labels.</p>
<p>In this mode, the complexity is still linear.
That is, the function provides a very fast way to compute the Voronoi diagram
for a binary image.
Currently, the second variant can use only the approximate distance transform
algorithm, i.e. <code>maskSize=CV_DIST_MASK_PRECISE</code> is not supported
yet.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - 8-bit, single-channel (binary) source image.<DD><CODE>dst</CODE> - Output image with calculated distances. It is a 32-bit
floating-point, single-channel image of the same size as <code>src</code>.<DD><CODE>distanceType</CODE> - Type of distance. It can be <code>CV_DIST_L1,
CV_DIST_L2</code>, or <code>CV_DIST_C</code>.<DD><CODE>maskSize</CODE> - Size of the distance transform mask. It can be 3, 5, or
<code>CV_DIST_MASK_PRECISE</code> (the latter option is only supported by the
first function). In case of the <code>CV_DIST_L1</code> or <code>CV_DIST_C</code>
distance type, the parameter is forced to 3 because a <em>3x 3</em> mask
gives the same result as <em>5x 5</em> or any larger aperture.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#distancetransform">org.opencv.imgproc.Imgproc.distanceTransform</a></DL>
</DD>
</DL>
<HR>
<A NAME="distanceTransformWithLabels(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
distanceTransformWithLabels</H3>
<PRE>
public static void <B>distanceTransformWithLabels</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> labels,
int distanceType,
int maskSize)</PRE>
<DL>
<DD><p>Calculates the distance to the closest zero pixel for each pixel of the
source image.</p>
<p>The functions <code>distanceTransform</code> calculate the approximate or
precise distance from every binary image pixel to the nearest zero pixel.
For zero image pixels, the distance will obviously be zero.</p>
<p>When <code>maskSize == CV_DIST_MASK_PRECISE</code> and <code>distanceType ==
CV_DIST_L2</code>, the function runs the algorithm described in
[Felzenszwalb04]. This algorithm is parallelized with the TBB library.</p>
<p>In other cases, the algorithm [Borgefors86] is used. This means that for a
pixel the function finds the shortest path to the nearest zero pixel
consisting of basic shifts: horizontal, vertical, diagonal, or knight's move
(the latest is available for a <em>5x 5</em> mask). The overall distance is
calculated as a sum of these basic distances. Since the distance function
should be symmetric, all of the horizontal and vertical shifts must have the
same cost (denoted as <code>a</code>), all the diagonal shifts must have the
same cost (denoted as <code>b</code>), and all knight's moves must have the
same cost (denoted as <code>c</code>). For the <code>CV_DIST_C</code> and
<code>CV_DIST_L1</code> types, the distance is calculated precisely, whereas
for <code>CV_DIST_L2</code> (Euclidean distance) the distance can be
calculated only with a relative error (a <em>5x 5</em> mask gives more
accurate results). For <code>a</code>,<code>b</code>, and <code>c</code>,
OpenCV uses the values suggested in the original paper:</p>
<p>============== =================== ======================
<code>CV_DIST_C</code> <em>(3x 3)</em> a = 1, b = 1 \
============== =================== ======================
<code>CV_DIST_L1</code> <em>(3x 3)</em> a = 1, b = 2 \
<code>CV_DIST_L2</code> <em>(3x 3)</em> a=0.955, b=1.3693 \
<code>CV_DIST_L2</code> <em>(5x 5)</em> a=1, b=1.4, c=2.1969 \
============== =================== ======================</p>
<p>Typically, for a fast, coarse distance estimation <code>CV_DIST_L2</code>, a
<em>3x 3</em> mask is used. For a more accurate distance estimation
<code>CV_DIST_L2</code>, a <em>5x 5</em> mask or the precise algorithm is
used.
Note that both the precise and the approximate algorithms are linear on the
number of pixels.</p>
<p>The second variant of the function does not only compute the minimum distance
for each pixel <em>(x, y)</em> but also identifies the nearest connected
component consisting of zero pixels (<code>labelType==DIST_LABEL_CCOMP</code>)
or the nearest zero pixel (<code>labelType==DIST_LABEL_PIXEL</code>). Index
of the component/pixel is stored in <em>labels(x, y)</em>.
When <code>labelType==DIST_LABEL_CCOMP</code>, the function automatically
finds connected components of zero pixels in the input image and marks them
with distinct labels. When <code>labelType==DIST_LABEL_CCOMP</code>, the
function scans through the input image and marks all the zero pixels with
distinct labels.</p>
<p>In this mode, the complexity is still linear.
That is, the function provides a very fast way to compute the Voronoi diagram
for a binary image.
Currently, the second variant can use only the approximate distance transform
algorithm, i.e. <code>maskSize=CV_DIST_MASK_PRECISE</code> is not supported
yet.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - 8-bit, single-channel (binary) source image.<DD><CODE>dst</CODE> - Output image with calculated distances. It is a 32-bit
floating-point, single-channel image of the same size as <code>src</code>.<DD><CODE>labels</CODE> - Optional output 2D array of labels (the discrete Voronoi
diagram). It has the type <code>CV_32SC1</code> and the same size as
<code>src</code>. See the details below.<DD><CODE>distanceType</CODE> - Type of distance. It can be <code>CV_DIST_L1,
CV_DIST_L2</code>, or <code>CV_DIST_C</code>.<DD><CODE>maskSize</CODE> - Size of the distance transform mask. It can be 3, 5, or
<code>CV_DIST_MASK_PRECISE</code> (the latter option is only supported by the
first function). In case of the <code>CV_DIST_L1</code> or <code>CV_DIST_C</code>
distance type, the parameter is forced to 3 because a <em>3x 3</em> mask
gives the same result as <em>5x 5</em> or any larger aperture.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#distancetransform">org.opencv.imgproc.Imgproc.distanceTransform</a></DL>
</DD>
</DL>
<HR>
<A NAME="distanceTransformWithLabels(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
distanceTransformWithLabels</H3>
<PRE>
public static void <B>distanceTransformWithLabels</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> labels,
int distanceType,
int maskSize,
int labelType)</PRE>
<DL>
<DD><p>Calculates the distance to the closest zero pixel for each pixel of the
source image.</p>
<p>The functions <code>distanceTransform</code> calculate the approximate or
precise distance from every binary image pixel to the nearest zero pixel.
For zero image pixels, the distance will obviously be zero.</p>
<p>When <code>maskSize == CV_DIST_MASK_PRECISE</code> and <code>distanceType ==
CV_DIST_L2</code>, the function runs the algorithm described in
[Felzenszwalb04]. This algorithm is parallelized with the TBB library.</p>
<p>In other cases, the algorithm [Borgefors86] is used. This means that for a
pixel the function finds the shortest path to the nearest zero pixel
consisting of basic shifts: horizontal, vertical, diagonal, or knight's move
(the latest is available for a <em>5x 5</em> mask). The overall distance is
calculated as a sum of these basic distances. Since the distance function
should be symmetric, all of the horizontal and vertical shifts must have the
same cost (denoted as <code>a</code>), all the diagonal shifts must have the
same cost (denoted as <code>b</code>), and all knight's moves must have the
same cost (denoted as <code>c</code>). For the <code>CV_DIST_C</code> and
<code>CV_DIST_L1</code> types, the distance is calculated precisely, whereas
for <code>CV_DIST_L2</code> (Euclidean distance) the distance can be
calculated only with a relative error (a <em>5x 5</em> mask gives more
accurate results). For <code>a</code>,<code>b</code>, and <code>c</code>,
OpenCV uses the values suggested in the original paper:</p>
<p>============== =================== ======================
<code>CV_DIST_C</code> <em>(3x 3)</em> a = 1, b = 1 \
============== =================== ======================
<code>CV_DIST_L1</code> <em>(3x 3)</em> a = 1, b = 2 \
<code>CV_DIST_L2</code> <em>(3x 3)</em> a=0.955, b=1.3693 \
<code>CV_DIST_L2</code> <em>(5x 5)</em> a=1, b=1.4, c=2.1969 \
============== =================== ======================</p>
<p>Typically, for a fast, coarse distance estimation <code>CV_DIST_L2</code>, a
<em>3x 3</em> mask is used. For a more accurate distance estimation
<code>CV_DIST_L2</code>, a <em>5x 5</em> mask or the precise algorithm is
used.
Note that both the precise and the approximate algorithms are linear on the
number of pixels.</p>
<p>The second variant of the function does not only compute the minimum distance
for each pixel <em>(x, y)</em> but also identifies the nearest connected
component consisting of zero pixels (<code>labelType==DIST_LABEL_CCOMP</code>)
or the nearest zero pixel (<code>labelType==DIST_LABEL_PIXEL</code>). Index
of the component/pixel is stored in <em>labels(x, y)</em>.
When <code>labelType==DIST_LABEL_CCOMP</code>, the function automatically
finds connected components of zero pixels in the input image and marks them
with distinct labels. When <code>labelType==DIST_LABEL_CCOMP</code>, the
function scans through the input image and marks all the zero pixels with
distinct labels.</p>
<p>In this mode, the complexity is still linear.
That is, the function provides a very fast way to compute the Voronoi diagram
for a binary image.
Currently, the second variant can use only the approximate distance transform
algorithm, i.e. <code>maskSize=CV_DIST_MASK_PRECISE</code> is not supported
yet.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - 8-bit, single-channel (binary) source image.<DD><CODE>dst</CODE> - Output image with calculated distances. It is a 32-bit
floating-point, single-channel image of the same size as <code>src</code>.<DD><CODE>labels</CODE> - Optional output 2D array of labels (the discrete Voronoi
diagram). It has the type <code>CV_32SC1</code> and the same size as
<code>src</code>. See the details below.<DD><CODE>distanceType</CODE> - Type of distance. It can be <code>CV_DIST_L1,
CV_DIST_L2</code>, or <code>CV_DIST_C</code>.<DD><CODE>maskSize</CODE> - Size of the distance transform mask. It can be 3, 5, or
<code>CV_DIST_MASK_PRECISE</code> (the latter option is only supported by the
first function). In case of the <code>CV_DIST_L1</code> or <code>CV_DIST_C</code>
distance type, the parameter is forced to 3 because a <em>3x 3</em> mask
gives the same result as <em>5x 5</em> or any larger aperture.<DD><CODE>labelType</CODE> - Type of the label array to build. If <code>labelType==DIST_LABEL_CCOMP</code>
then each connected component of zeros in <code>src</code> (as well as all
the non-zero pixels closest to the connected component) will be assigned the
same label. If <code>labelType==DIST_LABEL_PIXEL</code> then each zero pixel
(and all the non-zero pixels closest to it) gets its own label.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#distancetransform">org.opencv.imgproc.Imgproc.distanceTransform</a></DL>
</DD>
</DL>
<HR>
<A NAME="drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar)"><!-- --></A><H3>
drawContours</H3>
<PRE>
public static void <B>drawContours</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color)</PRE>
<DL>
<DD><p>Draws contours outlines or filled contours.</p>
<p>The function draws contour outlines in the image if <em>thickness >= 0</em>
or fills the area bounded by the contours if<em>thickness<0</em>. The
example below shows how to retrieve connected components from the binary
image and label them: <code></p>
<p>// C++ code:</p>
<p>#include "cv.h"</p>
<p>#include "highgui.h"</p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src;</p>
<p>// the first command-line parameter must be a filename of the binary</p>
<p>// (black-n-white) image</p>
<p>if(argc != 2 || !(src=imread(argv[1], 0)).data)</p>
<p>return -1;</p>
<p>Mat dst = Mat.zeros(src.rows, src.cols, CV_8UC3);</p>
<p>src = src > 1;</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>vector<vector<Point> > contours;</p>
<p>vector<Vec4i> hierarchy;</p>
<p>findContours(src, contours, hierarchy,</p>
<p>CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);</p>
<p>// iterate through all the top-level contours,</p>
<p>// draw each connected component with its own random color</p>
<p>int idx = 0;</p>
<p>for(; idx >= 0; idx = hierarchy[idx][0])</p>
<p>Scalar color(rand()&255, rand()&255, rand()&255);</p>
<p>drawContours(dst, contours, idx, color, CV_FILLED, 8, hierarchy);</p>
<p>namedWindow("Components", 1);</p>
<p>imshow("Components", dst);</p>
<p>waitKey(0);</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Destination image.<DD><CODE>contours</CODE> - All the input contours. Each contour is stored as a point
vector.<DD><CODE>contourIdx</CODE> - Parameter indicating a contour to draw. If it is negative,
all the contours are drawn.<DD><CODE>color</CODE> - Color of the contours.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#drawcontours">org.opencv.imgproc.Imgproc.drawContours</a></DL>
</DD>
</DL>
<HR>
<A NAME="drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar, int)"><!-- --></A><H3>
drawContours</H3>
<PRE>
public static void <B>drawContours</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color,
int thickness)</PRE>
<DL>
<DD><p>Draws contours outlines or filled contours.</p>
<p>The function draws contour outlines in the image if <em>thickness >= 0</em>
or fills the area bounded by the contours if<em>thickness<0</em>. The
example below shows how to retrieve connected components from the binary
image and label them: <code></p>
<p>// C++ code:</p>
<p>#include "cv.h"</p>
<p>#include "highgui.h"</p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src;</p>
<p>// the first command-line parameter must be a filename of the binary</p>
<p>// (black-n-white) image</p>
<p>if(argc != 2 || !(src=imread(argv[1], 0)).data)</p>
<p>return -1;</p>
<p>Mat dst = Mat.zeros(src.rows, src.cols, CV_8UC3);</p>
<p>src = src > 1;</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>vector<vector<Point> > contours;</p>
<p>vector<Vec4i> hierarchy;</p>
<p>findContours(src, contours, hierarchy,</p>
<p>CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);</p>
<p>// iterate through all the top-level contours,</p>
<p>// draw each connected component with its own random color</p>
<p>int idx = 0;</p>
<p>for(; idx >= 0; idx = hierarchy[idx][0])</p>
<p>Scalar color(rand()&255, rand()&255, rand()&255);</p>
<p>drawContours(dst, contours, idx, color, CV_FILLED, 8, hierarchy);</p>
<p>namedWindow("Components", 1);</p>
<p>imshow("Components", dst);</p>
<p>waitKey(0);</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Destination image.<DD><CODE>contours</CODE> - All the input contours. Each contour is stored as a point
vector.<DD><CODE>contourIdx</CODE> - Parameter indicating a contour to draw. If it is negative,
all the contours are drawn.<DD><CODE>color</CODE> - Color of the contours.<DD><CODE>thickness</CODE> - Thickness of lines the contours are drawn with. If it is
negative (for example, <code>thickness=CV_FILLED</code>), the contour
interiors are drawn.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#drawcontours">org.opencv.imgproc.Imgproc.drawContours</a></DL>
</DD>
</DL>
<HR>
<A NAME="drawContours(org.opencv.core.Mat, java.util.List, int, org.opencv.core.Scalar, int, int, org.opencv.core.Mat, int, org.opencv.core.Point)"><!-- --></A><H3>
drawContours</H3>
<PRE>
public static void <B>drawContours</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
int contourIdx,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> color,
int thickness,
int lineType,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int maxLevel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> offset)</PRE>
<DL>
<DD><p>Draws contours outlines or filled contours.</p>
<p>The function draws contour outlines in the image if <em>thickness >= 0</em>
or fills the area bounded by the contours if<em>thickness<0</em>. The
example below shows how to retrieve connected components from the binary
image and label them: <code></p>
<p>// C++ code:</p>
<p>#include "cv.h"</p>
<p>#include "highgui.h"</p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src;</p>
<p>// the first command-line parameter must be a filename of the binary</p>
<p>// (black-n-white) image</p>
<p>if(argc != 2 || !(src=imread(argv[1], 0)).data)</p>
<p>return -1;</p>
<p>Mat dst = Mat.zeros(src.rows, src.cols, CV_8UC3);</p>
<p>src = src > 1;</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>vector<vector<Point> > contours;</p>
<p>vector<Vec4i> hierarchy;</p>
<p>findContours(src, contours, hierarchy,</p>
<p>CV_RETR_CCOMP, CV_CHAIN_APPROX_SIMPLE);</p>
<p>// iterate through all the top-level contours,</p>
<p>// draw each connected component with its own random color</p>
<p>int idx = 0;</p>
<p>for(; idx >= 0; idx = hierarchy[idx][0])</p>
<p>Scalar color(rand()&255, rand()&255, rand()&255);</p>
<p>drawContours(dst, contours, idx, color, CV_FILLED, 8, hierarchy);</p>
<p>namedWindow("Components", 1);</p>
<p>imshow("Components", dst);</p>
<p>waitKey(0);</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Destination image.<DD><CODE>contours</CODE> - All the input contours. Each contour is stored as a point
vector.<DD><CODE>contourIdx</CODE> - Parameter indicating a contour to draw. If it is negative,
all the contours are drawn.<DD><CODE>color</CODE> - Color of the contours.<DD><CODE>thickness</CODE> - Thickness of lines the contours are drawn with. If it is
negative (for example, <code>thickness=CV_FILLED</code>), the contour
interiors are drawn.<DD><CODE>lineType</CODE> - Line connectivity. See "line" for details.<DD><CODE>hierarchy</CODE> - Optional information about hierarchy. It is only needed if
you want to draw only some of the contours (see <code>maxLevel</code>).<DD><CODE>maxLevel</CODE> - Maximal level for drawn contours. If it is 0, only the
specified contour is drawn. If it is 1, the function draws the contour(s) and
all the nested contours. If it is 2, the function draws the contours, all the
nested contours, all the nested-to-nested contours, and so on. This parameter
is only taken into account when there is <code>hierarchy</code> available.<DD><CODE>offset</CODE> - Optional contour shift parameter. Shift all the drawn contours
by the specified <em>offset=(dx,dy)</em>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#drawcontours">org.opencv.imgproc.Imgproc.drawContours</a></DL>
</DD>
</DL>
<HR>
<A NAME="equalizeHist(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
equalizeHist</H3>
<PRE>
public static void <B>equalizeHist</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Equalizes the histogram of a grayscale image.</p>
<p>The function equalizes the histogram of the input image using the following
algorithm:</p>
<ul>
<li> Calculate the histogram <em>H</em> for <code>src</code>.
<li> Normalize the histogram so that the sum of histogram bins is 255.
<li> Compute the integral of the histogram:
</ul>
<p><em>H'_i = sum(by: 0 <= j < i) H(j)</em></p>
<ul>
<li>
</ul>
<p>Transform the image using <em>H'</em> as a look-up table: <em>dst(x,y) =
H'(src(x,y))</em></p>
<p>The algorithm normalizes the brightness and increases the contrast of the
image.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source 8-bit single channel image.<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/histograms.html#equalizehist">org.opencv.imgproc.Imgproc.equalizeHist</a></DL>
</DD>
</DL>
<HR>
<A NAME="erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
erode</H3>
<PRE>
public static void <B>erode</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</PRE>
<DL>
<DD><p>Erodes an image by using a specific structuring element.</p>
<p>The function erodes the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the minimum is
taken:</p>
<p><em>dst(x,y) = min _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Erosion can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#erode">org.opencv.imgproc.Imgproc.erode</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int)"><!-- --></A><H3>
erode</H3>
<PRE>
public static void <B>erode</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</PRE>
<DL>
<DD><p>Erodes an image by using a specific structuring element.</p>
<p>The function erodes the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the minimum is
taken:</p>
<p><em>dst(x,y) = min _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Erosion can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - position of the anchor within the element; default value
<code>(-1, -1)</code> means that the anchor is at the element center.<DD><CODE>iterations</CODE> - number of times erosion is applied.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#erode">org.opencv.imgproc.Imgproc.erode</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
erode</H3>
<PRE>
public static void <B>erode</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Erodes an image by using a specific structuring element.</p>
<p>The function erodes the source image using the specified structuring element
that determines the shape of a pixel neighborhood over which the minimum is
taken:</p>
<p><em>dst(x,y) = min _((x',y'): element(x',y') != 0) src(x+x',y+y')</em></p>
<p>The function supports the in-place mode. Erosion can be applied several
(<code>iterations</code>) times. In case of multi-channel images, each
channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the number of channels can be arbitrary, but the
depth should be one of <code>CV_8U</code>, <code>CV_16U</code>,
<code>CV_16S</code>, <code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - position of the anchor within the element; default value
<code>(-1, -1)</code> means that the anchor is at the element center.<DD><CODE>iterations</CODE> - number of times erosion is applied.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DD><CODE>borderValue</CODE> - border value in case of a constant border (see
"createMorphologyFilter" for details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#erode">org.opencv.imgproc.Imgproc.erode</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat)"><!-- --></A><H3>
filter2D</H3>
<PRE>
public static void <B>filter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</PRE>
<DL>
<DD><p>Convolves an image with the kernel.</p>
<p>The function applies an arbitrary linear filter to an image. In-place
operation is supported. When the aperture is partially outside the image, the
function interpolates outlier pixel values according to the specified border
mode.</p>
<p>The function does actually compute correlation, not the convolution:</p>
<p><em>dst(x,y) = sum(by: 0 <= x' < kernel.cols, 0 <= y' < kernel.rows)
kernel(x',y')* src(x+x'- anchor.x,y+y'- anchor.y)</em></p>
<p>That is, the kernel is not mirrored around the anchor point. If you need a
real convolution, flip the kernel using "flip" and set the new anchor to
<code>(kernel.cols - anchor.x - 1, kernel.rows - anchor.y - 1)</code>.</p>
<p>The function uses the DFT-based algorithm in case of sufficiently large
kernels (~<code>11 x 11</code> or larger) and the direct algorithm (that uses
the engine retrieved by "createLinearFilter") for small kernels.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - desired depth of the destination image; if it is negative, it
will be the same as <code>src.depth()</code>; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the output image will have the same depth as the
source.</p><DD><CODE>kernel</CODE> - convolution kernel (or rather a correlation kernel), a
single-channel floating point matrix; if you want to apply different kernels
to different channels, split the image into separate color planes using
"split" and process them individually.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#filter2d">org.opencv.imgproc.Imgproc.filter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double)"><!-- --></A><H3>
filter2D</H3>
<PRE>
public static void <B>filter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta)</PRE>
<DL>
<DD><p>Convolves an image with the kernel.</p>
<p>The function applies an arbitrary linear filter to an image. In-place
operation is supported. When the aperture is partially outside the image, the
function interpolates outlier pixel values according to the specified border
mode.</p>
<p>The function does actually compute correlation, not the convolution:</p>
<p><em>dst(x,y) = sum(by: 0 <= x' < kernel.cols, 0 <= y' < kernel.rows)
kernel(x',y')* src(x+x'- anchor.x,y+y'- anchor.y)</em></p>
<p>That is, the kernel is not mirrored around the anchor point. If you need a
real convolution, flip the kernel using "flip" and set the new anchor to
<code>(kernel.cols - anchor.x - 1, kernel.rows - anchor.y - 1)</code>.</p>
<p>The function uses the DFT-based algorithm in case of sufficiently large
kernels (~<code>11 x 11</code> or larger) and the direct algorithm (that uses
the engine retrieved by "createLinearFilter") for small kernels.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - desired depth of the destination image; if it is negative, it
will be the same as <code>src.depth()</code>; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the output image will have the same depth as the
source.</p><DD><CODE>kernel</CODE> - convolution kernel (or rather a correlation kernel), a
single-channel floating point matrix; if you want to apply different kernels
to different channels, split the image into separate color planes using
"split" and process them individually.<DD><CODE>anchor</CODE> - anchor of the kernel that indicates the relative position of a
filtered point within the kernel; the anchor should lie within the kernel;
default value (-1,-1) means that the anchor is at the kernel center.<DD><CODE>delta</CODE> - optional value added to the filtered pixels before storing them
in <code>dst</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#filter2d">org.opencv.imgproc.Imgproc.filter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><!-- --></A><H3>
filter2D</H3>
<PRE>
public static void <B>filter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta,
int borderType)</PRE>
<DL>
<DD><p>Convolves an image with the kernel.</p>
<p>The function applies an arbitrary linear filter to an image. In-place
operation is supported. When the aperture is partially outside the image, the
function interpolates outlier pixel values according to the specified border
mode.</p>
<p>The function does actually compute correlation, not the convolution:</p>
<p><em>dst(x,y) = sum(by: 0 <= x' < kernel.cols, 0 <= y' < kernel.rows)
kernel(x',y')* src(x+x'- anchor.x,y+y'- anchor.y)</em></p>
<p>That is, the kernel is not mirrored around the anchor point. If you need a
real convolution, flip the kernel using "flip" and set the new anchor to
<code>(kernel.cols - anchor.x - 1, kernel.rows - anchor.y - 1)</code>.</p>
<p>The function uses the DFT-based algorithm in case of sufficiently large
kernels (~<code>11 x 11</code> or larger) and the direct algorithm (that uses
the engine retrieved by "createLinearFilter") for small kernels.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - desired depth of the destination image; if it is negative, it
will be the same as <code>src.depth()</code>; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the output image will have the same depth as the
source.</p><DD><CODE>kernel</CODE> - convolution kernel (or rather a correlation kernel), a
single-channel floating point matrix; if you want to apply different kernels
to different channels, split the image into separate color planes using
"split" and process them individually.<DD><CODE>anchor</CODE> - anchor of the kernel that indicates the relative position of a
filtered point within the kernel; the anchor should lie within the kernel;
default value (-1,-1) means that the anchor is at the kernel center.<DD><CODE>delta</CODE> - optional value added to the filtered pixels before storing them
in <code>dst</code>.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#filter2d">org.opencv.imgproc.Imgproc.filter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
findContours</H3>
<PRE>
public static void <B>findContours</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int mode,
int method)</PRE>
<DL>
<DD><p>Finds contours in a binary image.</p>
<p>The function retrieves contours from the binary image using the algorithm
[Suzuki85]. The contours are a useful tool for shape analysis and object
detection and recognition. See <code>squares.c</code> in the OpenCV sample
directory.</p>
<p>Note: Source <code>image</code> is modified by this function. Also, the
function does not take into account 1-pixel border of the image (it's filled
with 0's and used for neighbor analysis in the algorithm), therefore the
contours touching the image border will be clipped.</p>
<p>Note: If you use the new Python interface then the <code>CV_</code> prefix
has to be omitted in contour retrieval mode and contour approximation method
parameters (for example, use <code>cv2.RETR_LIST</code> and <code>cv2.CHAIN_APPROX_NONE</code>
parameters). If you use the old Python interface then these parameters have
the <code>CV_</code> prefix (for example, use <code>cv.CV_RETR_LIST</code>
and <code>cv.CV_CHAIN_APPROX_NONE</code>).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Source, an 8-bit single-channel image. Non-zero pixels are
treated as 1's. Zero pixels remain 0's, so the image is treated as
<code>binary</code>. You can use "compare", "inRange", "threshold",
"adaptiveThreshold", "Canny", and others to create a binary image out of a
grayscale or color one. The function modifies the <code>image</code> while
extracting the contours.<DD><CODE>contours</CODE> - Detected contours. Each contour is stored as a vector of
points.<DD><CODE>hierarchy</CODE> - Optional output vector, containing information about the
image topology. It has as many elements as the number of contours. For each
i-th contour <code>contours[i]</code>, the elements <code>hierarchy[i][0]</code>,
<code>hiearchy[i][1]</code>, <code>hiearchy[i][2]</code>, and
<code>hiearchy[i][3]</code> are set to 0-based indices in <code>contours</code>
of the next and previous contours at the same hierarchical level, the first
child contour and the parent contour, respectively. If for the contour
<code>i</code> there are no next, previous, parent, or nested contours, the
corresponding elements of <code>hierarchy[i]</code> will be negative.<DD><CODE>mode</CODE> - Contour retrieval mode (if you use Python see also a note below).
<ul>
<li> CV_RETR_EXTERNAL retrieves only the extreme outer contours. It sets
<code>hierarchy[i][2]=hierarchy[i][3]=-1</code> for all the contours.
<li> CV_RETR_LIST retrieves all of the contours without establishing any
hierarchical relationships.
<li> CV_RETR_CCOMP retrieves all of the contours and organizes them into a
two-level hierarchy. At the top level, there are external boundaries of the
components. At the second level, there are boundaries of the holes. If there
is another contour inside a hole of a connected component, it is still put at
the top level.
<li> CV_RETR_TREE retrieves all of the contours and reconstructs a full
hierarchy of nested contours. This full hierarchy is built and shown in the
OpenCV <code>contours.c</code> demo.
</ul><DD><CODE>method</CODE> - Contour approximation method (if you use Python see also a note
below).
<ul>
<li> CV_CHAIN_APPROX_NONE stores absolutely all the contour points. That
is, any 2 subsequent points <code>(x1,y1)</code> and <code>(x2,y2)</code> of
the contour will be either horizontal, vertical or diagonal neighbors, that
is, <code>max(abs(x1-x2),abs(y2-y1))==1</code>.
<li> CV_CHAIN_APPROX_SIMPLE compresses horizontal, vertical, and diagonal
segments and leaves only their end points. For example, an up-right
rectangular contour is encoded with 4 points.
<li> CV_CHAIN_APPROX_TC89_L1,CV_CHAIN_APPROX_TC89_KCOS applies one of the
flavors of the Teh-Chin chain approximation algorithm. See [TehChin89] for
details.
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#findcontours">org.opencv.imgproc.Imgproc.findContours</a></DL>
</DD>
</DL>
<HR>
<A NAME="findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)"><!-- --></A><H3>
findContours</H3>
<PRE>
public static void <B>findContours</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
java.util.List<<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A>> contours,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hierarchy,
int mode,
int method,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> offset)</PRE>
<DL>
<DD><p>Finds contours in a binary image.</p>
<p>The function retrieves contours from the binary image using the algorithm
[Suzuki85]. The contours are a useful tool for shape analysis and object
detection and recognition. See <code>squares.c</code> in the OpenCV sample
directory.</p>
<p>Note: Source <code>image</code> is modified by this function. Also, the
function does not take into account 1-pixel border of the image (it's filled
with 0's and used for neighbor analysis in the algorithm), therefore the
contours touching the image border will be clipped.</p>
<p>Note: If you use the new Python interface then the <code>CV_</code> prefix
has to be omitted in contour retrieval mode and contour approximation method
parameters (for example, use <code>cv2.RETR_LIST</code> and <code>cv2.CHAIN_APPROX_NONE</code>
parameters). If you use the old Python interface then these parameters have
the <code>CV_</code> prefix (for example, use <code>cv.CV_RETR_LIST</code>
and <code>cv.CV_CHAIN_APPROX_NONE</code>).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Source, an 8-bit single-channel image. Non-zero pixels are
treated as 1's. Zero pixels remain 0's, so the image is treated as
<code>binary</code>. You can use "compare", "inRange", "threshold",
"adaptiveThreshold", "Canny", and others to create a binary image out of a
grayscale or color one. The function modifies the <code>image</code> while
extracting the contours.<DD><CODE>contours</CODE> - Detected contours. Each contour is stored as a vector of
points.<DD><CODE>hierarchy</CODE> - Optional output vector, containing information about the
image topology. It has as many elements as the number of contours. For each
i-th contour <code>contours[i]</code>, the elements <code>hierarchy[i][0]</code>,
<code>hiearchy[i][1]</code>, <code>hiearchy[i][2]</code>, and
<code>hiearchy[i][3]</code> are set to 0-based indices in <code>contours</code>
of the next and previous contours at the same hierarchical level, the first
child contour and the parent contour, respectively. If for the contour
<code>i</code> there are no next, previous, parent, or nested contours, the
corresponding elements of <code>hierarchy[i]</code> will be negative.<DD><CODE>mode</CODE> - Contour retrieval mode (if you use Python see also a note below).
<ul>
<li> CV_RETR_EXTERNAL retrieves only the extreme outer contours. It sets
<code>hierarchy[i][2]=hierarchy[i][3]=-1</code> for all the contours.
<li> CV_RETR_LIST retrieves all of the contours without establishing any
hierarchical relationships.
<li> CV_RETR_CCOMP retrieves all of the contours and organizes them into a
two-level hierarchy. At the top level, there are external boundaries of the
components. At the second level, there are boundaries of the holes. If there
is another contour inside a hole of a connected component, it is still put at
the top level.
<li> CV_RETR_TREE retrieves all of the contours and reconstructs a full
hierarchy of nested contours. This full hierarchy is built and shown in the
OpenCV <code>contours.c</code> demo.
</ul><DD><CODE>method</CODE> - Contour approximation method (if you use Python see also a note
below).
<ul>
<li> CV_CHAIN_APPROX_NONE stores absolutely all the contour points. That
is, any 2 subsequent points <code>(x1,y1)</code> and <code>(x2,y2)</code> of
the contour will be either horizontal, vertical or diagonal neighbors, that
is, <code>max(abs(x1-x2),abs(y2-y1))==1</code>.
<li> CV_CHAIN_APPROX_SIMPLE compresses horizontal, vertical, and diagonal
segments and leaves only their end points. For example, an up-right
rectangular contour is encoded with 4 points.
<li> CV_CHAIN_APPROX_TC89_L1,CV_CHAIN_APPROX_TC89_KCOS applies one of the
flavors of the Teh-Chin chain approximation algorithm. See [TehChin89] for
details.
</ul><DD><CODE>offset</CODE> - Optional offset by which every contour point is shifted. This
is useful if the contours are extracted from the image ROI and then they
should be analyzed in the whole image context.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#findcontours">org.opencv.imgproc.Imgproc.findContours</a></DL>
</DD>
</DL>
<HR>
<A NAME="fitEllipse(org.opencv.core.MatOfPoint2f)"><!-- --></A><H3>
fitEllipse</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</A> <B>fitEllipse</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points)</PRE>
<DL>
<DD><p>Fits an ellipse around a set of 2D points.</p>
<p>The function calculates the ellipse that fits (in a least-squares sense) a
set of 2D points best of all. It returns the rotated rectangle in which the
ellipse is inscribed. The algorithm [Fitzgibbon95] is used.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input 2D point set, stored in:
<ul>
<li> <code>std.vector<></code> or <code>Mat</code> (C++ interface)
<li> <code>CvSeq*</code> or <code>CvMat*</code> (C interface)
<li> Nx2 numpy array (Python interface)
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#fitellipse">org.opencv.imgproc.Imgproc.fitEllipse</a></DL>
</DD>
</DL>
<HR>
<A NAME="fitLine(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, double)"><!-- --></A><H3>
fitLine</H3>
<PRE>
public static void <B>fitLine</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> points,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> line,
int distType,
double param,
double reps,
double aeps)</PRE>
<DL>
<DD><p>Fits a line to a 2D or 3D point set.</p>
<p>The function <code>fitLine</code> fits a line to a 2D or 3D point set by
minimizing <em>sum_i rho(r_i)</em> where <em>r_i</em> is a distance between
the <em>i^(th)</em> point, the line and <em>rho(r)</em> is a distance
function, one of the following:</p>
<ul>
<li> distType=CV_DIST_L2
</ul>
<p><em>rho(r) = r^2/2(the simplest and the fastest least-squares method)</em></p>
<ul>
<li> distType=CV_DIST_L1
</ul>
<p><em>rho(r) = r</em></p>
<ul>
<li> distType=CV_DIST_L12
</ul>
<p><em>rho(r) = 2 * (sqrt(1 + frac(r^2)2) - 1)</em></p>
<ul>
<li> distType=CV_DIST_FAIR
</ul>
<p><em>rho(r) = C^2 * ((r)/(C) - log((1 + (r)/(C)))) where C=1.3998</em></p>
<ul>
<li> distType=CV_DIST_WELSCH
</ul>
<p><em>rho(r) = (C^2)/2 * (1 - exp((-((r)/(C))^2))) where C=2.9846</em></p>
<ul>
<li> distType=CV_DIST_HUBER
</ul>
<p><em>rho(r) = r^2/2 if r < C; C * (r-C/2) otherwise where C=1.345</em></p>
<p>The algorithm is based on the M-estimator (http://en.wikipedia.org/wiki/M-estimator)
technique that iteratively fits the line using the weighted least-squares
algorithm. After each iteration the weights <em>w_i</em> are adjusted to be
inversely proportional to <em>rho(r_i)</em>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input vector of 2D or 3D points, stored in <code>std.vector<></code>
or <code>Mat</code>.<DD><CODE>line</CODE> - Output line parameters. In case of 2D fitting, it should be a
vector of 4 elements (like <code>Vec4f</code>) - <code>(vx, vy, x0,
y0)</code>, where <code>(vx, vy)</code> is a normalized vector collinear to
the line and <code>(x0, y0)</code> is a point on the line. In case of 3D
fitting, it should be a vector of 6 elements (like <code>Vec6f</code>) -
<code>(vx, vy, vz, x0, y0, z0)</code>, where <code>(vx, vy, vz)</code> is a
normalized vector collinear to the line and <code>(x0, y0, z0)</code> is a
point on the line.<DD><CODE>distType</CODE> - Distance used by the M-estimator (see the discussion below).<DD><CODE>param</CODE> - Numerical parameter (<code>C</code>) for some types of
distances. If it is 0, an optimal value is chosen.<DD><CODE>reps</CODE> - Sufficient accuracy for the radius (distance between the
coordinate origin and the line).<DD><CODE>aeps</CODE> - Sufficient accuracy for the angle. 0.01 would be a good default
value for <code>reps</code> and <code>aeps</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#fitline">org.opencv.imgproc.Imgproc.fitLine</a></DL>
</DD>
</DL>
<HR>
<A NAME="floodFill(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, org.opencv.core.Scalar)"><!-- --></A><H3>
floodFill</H3>
<PRE>
public static int <B>floodFill</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> seedPoint,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> newVal)</PRE>
<DL>
<DD><p>Fills a connected component with the given color.</p>
<p>The functions <code>floodFill</code> fill a connected component starting from
the seed point with the specified color. The connectivity is determined by
the color/brightness closeness of the neighbor pixels. The pixel at
<em>(x,y)</em> is considered to belong to the repainted domain if:</p>
<ul>
<li> <em>src(x',y')- loDiff <= src(x,y) <= src(x',y')+ upDiff</em>
</ul>
<p>in case of a grayscale image and floating range</p>
<ul>
<li> <em>src(seedPoint.x, seedPoint.y)- loDiff <= src(x,y) <=
src(seedPoint.x, seedPoint.y)+ upDiff</em>
</ul>
<p>in case of a grayscale image and fixed range</p>
<ul>
<li> <em>src(x',y')_r- loDiff _r <= src(x,y)_r <= src(x',y')_r+ upDiff
_r,</em>
</ul>
<p><em>src(x',y')_g- loDiff _g <= src(x,y)_g <= src(x',y')_g+ upDiff _g</em></p>
<p>and</p>
<p><em>src(x',y')_b- loDiff _b <= src(x,y)_b <= src(x',y')_b+ upDiff _b</em></p>
<p>in case of a color image and floating range</p>
<ul>
<li> <em>src(seedPoint.x, seedPoint.y)_r- loDiff _r <= src(x,y)_r <=
src(seedPoint.x, seedPoint.y)_r+ upDiff _r,</em>
</ul>
<p><em>src(seedPoint.x, seedPoint.y)_g- loDiff _g <= src(x,y)_g <=
src(seedPoint.x, seedPoint.y)_g+ upDiff _g</em></p>
<p>and</p>
<p><em>src(seedPoint.x, seedPoint.y)_b- loDiff _b <= src(x,y)_b <=
src(seedPoint.x, seedPoint.y)_b+ upDiff _b</em></p>
<p>in case of a color image and fixed range</p>
<p>where <em>src(x',y')</em> is the value of one of pixel neighbors that is
already known to belong to the component. That is, to be added to the
connected component, a color/brightness of the pixel should be close enough
to:</p>
<ul>
<li> Color/brightness of one of its neighbors that already belong to the
connected component in case of a floating range.
<li> Color/brightness of the seed point in case of a fixed range.
</ul>
<p>Use these functions to either mark a connected component with the specified
color in-place, or build a mask and then extract the contour, or copy the
region to another image, and so on. Various modes of the function are
demonstrated in the <code>floodfill.cpp</code> sample.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It
is modified by the function unless the <code>FLOODFILL_MASK_ONLY</code> flag
is set in the second variant of the function. See the details below.<DD><CODE>mask</CODE> - (For the second function only) Operation mask that should be a
single-channel 8-bit image, 2 pixels wider and 2 pixels taller. The function
uses and updates the mask, so you take responsibility of initializing the
<code>mask</code> content. Flood-filling cannot go across non-zero pixels in
the mask. For example, an edge detector output can be used as a mask to stop
filling at edges. It is possible to use the same mask in multiple calls to
the function to make sure the filled area does not overlap.
<p>Note: Since the mask is larger than the filled image, a pixel <em>(x, y)</em>
in <code>image</code> corresponds to the pixel <em>(x+1, y+1)</em> in the
<code>mask</code>.</p><DD><CODE>seedPoint</CODE> - Starting point.<DD><CODE>newVal</CODE> - New value of the repainted domain pixels.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#floodfill">org.opencv.imgproc.Imgproc.floodFill</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)"><CODE>findContours(org.opencv.core.Mat, java.util.List<org.opencv.core.MatOfPoint>, org.opencv.core.Mat, int, int, org.opencv.core.Point)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="floodFill(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, org.opencv.core.Scalar, org.opencv.core.Rect, org.opencv.core.Scalar, org.opencv.core.Scalar, int)"><!-- --></A><H3>
floodFill</H3>
<PRE>
public static int <B>floodFill</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> seedPoint,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> newVal,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> loDiff,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> upDiff,
int flags)</PRE>
<DL>
<DD><p>Fills a connected component with the given color.</p>
<p>The functions <code>floodFill</code> fill a connected component starting from
the seed point with the specified color. The connectivity is determined by
the color/brightness closeness of the neighbor pixels. The pixel at
<em>(x,y)</em> is considered to belong to the repainted domain if:</p>
<ul>
<li> <em>src(x',y')- loDiff <= src(x,y) <= src(x',y')+ upDiff</em>
</ul>
<p>in case of a grayscale image and floating range</p>
<ul>
<li> <em>src(seedPoint.x, seedPoint.y)- loDiff <= src(x,y) <=
src(seedPoint.x, seedPoint.y)+ upDiff</em>
</ul>
<p>in case of a grayscale image and fixed range</p>
<ul>
<li> <em>src(x',y')_r- loDiff _r <= src(x,y)_r <= src(x',y')_r+ upDiff
_r,</em>
</ul>
<p><em>src(x',y')_g- loDiff _g <= src(x,y)_g <= src(x',y')_g+ upDiff _g</em></p>
<p>and</p>
<p><em>src(x',y')_b- loDiff _b <= src(x,y)_b <= src(x',y')_b+ upDiff _b</em></p>
<p>in case of a color image and floating range</p>
<ul>
<li> <em>src(seedPoint.x, seedPoint.y)_r- loDiff _r <= src(x,y)_r <=
src(seedPoint.x, seedPoint.y)_r+ upDiff _r,</em>
</ul>
<p><em>src(seedPoint.x, seedPoint.y)_g- loDiff _g <= src(x,y)_g <=
src(seedPoint.x, seedPoint.y)_g+ upDiff _g</em></p>
<p>and</p>
<p><em>src(seedPoint.x, seedPoint.y)_b- loDiff _b <= src(x,y)_b <=
src(seedPoint.x, seedPoint.y)_b+ upDiff _b</em></p>
<p>in case of a color image and fixed range</p>
<p>where <em>src(x',y')</em> is the value of one of pixel neighbors that is
already known to belong to the component. That is, to be added to the
connected component, a color/brightness of the pixel should be close enough
to:</p>
<ul>
<li> Color/brightness of one of its neighbors that already belong to the
connected component in case of a floating range.
<li> Color/brightness of the seed point in case of a fixed range.
</ul>
<p>Use these functions to either mark a connected component with the specified
color in-place, or build a mask and then extract the contour, or copy the
region to another image, and so on. Various modes of the function are
demonstrated in the <code>floodfill.cpp</code> sample.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input/output 1- or 3-channel, 8-bit, or floating-point image. It
is modified by the function unless the <code>FLOODFILL_MASK_ONLY</code> flag
is set in the second variant of the function. See the details below.<DD><CODE>mask</CODE> - (For the second function only) Operation mask that should be a
single-channel 8-bit image, 2 pixels wider and 2 pixels taller. The function
uses and updates the mask, so you take responsibility of initializing the
<code>mask</code> content. Flood-filling cannot go across non-zero pixels in
the mask. For example, an edge detector output can be used as a mask to stop
filling at edges. It is possible to use the same mask in multiple calls to
the function to make sure the filled area does not overlap.
<p>Note: Since the mask is larger than the filled image, a pixel <em>(x, y)</em>
in <code>image</code> corresponds to the pixel <em>(x+1, y+1)</em> in the
<code>mask</code>.</p><DD><CODE>seedPoint</CODE> - Starting point.<DD><CODE>newVal</CODE> - New value of the repainted domain pixels.<DD><CODE>rect</CODE> - Optional output parameter set by the function to the minimum
bounding rectangle of the repainted domain.<DD><CODE>loDiff</CODE> - Maximal lower brightness/color difference between the currently
observed pixel and one of its neighbors belonging to the component, or a seed
pixel being added to the component.<DD><CODE>upDiff</CODE> - Maximal upper brightness/color difference between the currently
observed pixel and one of its neighbors belonging to the component, or a seed
pixel being added to the component.<DD><CODE>flags</CODE> - Operation flags. Lower bits contain a connectivity value, 4
(default) or 8, used within the function. Connectivity determines which
neighbors of a pixel are considered. Upper bits can be 0 or a combination of
the following flags:
<ul>
<li> FLOODFILL_FIXED_RANGE If set, the difference between the current pixel
and seed pixel is considered. Otherwise, the difference between neighbor
pixels is considered (that is, the range is floating).
<li> FLOODFILL_MASK_ONLY If set, the function does not change the image
(<code>newVal</code> is ignored), but fills the mask. The flag can be used
for the second variant only.
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#floodfill">org.opencv.imgproc.Imgproc.floodFill</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)"><CODE>findContours(org.opencv.core.Mat, java.util.List<org.opencv.core.MatOfPoint>, org.opencv.core.Mat, int, int, org.opencv.core.Point)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double)"><!-- --></A><H3>
GaussianBlur</H3>
<PRE>
public static void <B>GaussianBlur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX)</PRE>
<DL>
<DD><p>Blurs an image using a Gaussian filter.</p>
<p>The function convolves the source image with the specified Gaussian kernel.
In-place filtering is supported.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the image can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - Gaussian kernel size. <code>ksize.width</code> and
<code>ksize.height</code> can differ but they both must be positive and odd.
Or, they can be zero's and then they are computed from <code>sigma*</code>.<DD><CODE>sigmaX</CODE> - Gaussian kernel standard deviation in X direction.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#gaussianblur">org.opencv.imgproc.Imgproc.GaussianBlur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double)"><!-- --></A><H3>
GaussianBlur</H3>
<PRE>
public static void <B>GaussianBlur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX,
double sigmaY)</PRE>
<DL>
<DD><p>Blurs an image using a Gaussian filter.</p>
<p>The function convolves the source image with the specified Gaussian kernel.
In-place filtering is supported.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the image can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - Gaussian kernel size. <code>ksize.width</code> and
<code>ksize.height</code> can differ but they both must be positive and odd.
Or, they can be zero's and then they are computed from <code>sigma*</code>.<DD><CODE>sigmaX</CODE> - Gaussian kernel standard deviation in X direction.<DD><CODE>sigmaY</CODE> - Gaussian kernel standard deviation in Y direction; if
<code>sigmaY</code> is zero, it is set to be equal to <code>sigmaX</code>, if
both sigmas are zeros, they are computed from <code>ksize.width</code> and
<code>ksize.height</code>, respectively (see "getGaussianKernel" for
details); to fully control the result regardless of possible future
modifications of all this semantics, it is recommended to specify all of
<code>ksize</code>, <code>sigmaX</code>, and <code>sigmaY</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#gaussianblur">org.opencv.imgproc.Imgproc.GaussianBlur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><!-- --></A><H3>
GaussianBlur</H3>
<PRE>
public static void <B>GaussianBlur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigmaX,
double sigmaY,
int borderType)</PRE>
<DL>
<DD><p>Blurs an image using a Gaussian filter.</p>
<p>The function convolves the source image with the specified Gaussian kernel.
In-place filtering is supported.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image; the image can have any number of channels, which are
processed independently, but the depth should be <code>CV_8U</code>,
<code>CV_16U</code>, <code>CV_16S</code>, <code>CV_32F</code> or
<code>CV_64F</code>.<DD><CODE>dst</CODE> - output image of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - Gaussian kernel size. <code>ksize.width</code> and
<code>ksize.height</code> can differ but they both must be positive and odd.
Or, they can be zero's and then they are computed from <code>sigma*</code>.<DD><CODE>sigmaX</CODE> - Gaussian kernel standard deviation in X direction.<DD><CODE>sigmaY</CODE> - Gaussian kernel standard deviation in Y direction; if
<code>sigmaY</code> is zero, it is set to be equal to <code>sigmaX</code>, if
both sigmas are zeros, they are computed from <code>ksize.width</code> and
<code>ksize.height</code>, respectively (see "getGaussianKernel" for
details); to fully control the result regardless of possible future
modifications of all this semantics, it is recommended to specify all of
<code>ksize</code>, <code>sigmaX</code>, and <code>sigmaY</code>.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#gaussianblur">org.opencv.imgproc.Imgproc.GaussianBlur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getAffineTransform(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f)"><!-- --></A><H3>
getAffineTransform</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getAffineTransform</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst)</PRE>
<DL>
<DD><p>Calculates an affine transform from three pairs of the corresponding points.</p>
<p>The function calculates the <em>2 x 3</em> matrix of an affine transform so
that:</p>
<p><em>x'_i
y'_i = map_matrix * x_i
y_i
1 </em></p>
<p>where</p>
<p><em>dst(i)=(x'_i,y'_i),<BR>src(i)=(x_i, y_i),<BR>i=0,1,2</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Coordinates of triangle vertices in the source image.<DD><CODE>dst</CODE> - Coordinates of the corresponding triangle vertices in the
destination image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getaffinetransform">org.opencv.imgproc.Imgproc.getAffineTransform</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getDefaultNewCameraMatrix(org.opencv.core.Mat)"><!-- --></A><H3>
getDefaultNewCameraMatrix</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getDefaultNewCameraMatrix</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix)</PRE>
<DL>
<DD><p>Returns the default new camera matrix.</p>
<p>The function returns the camera matrix that is either an exact copy of the
input <code>cameraMatrix</code> (when <code>centerPrinicipalPoint=false</code>),
or the modified one (when <code>centerPrincipalPoint=true</code>).</p>
<p>In the latter case, the new camera matrix will be:</p>
<p><em>f_x 0(imgSize.width -1)*0.5
0 f_y(imgSize.height -1)*0.5
0 0 1,</em></p>
<p>where <em>f_x</em> and <em>f_y</em> are <em>(0,0)</em> and <em>(1,1)</em>
elements of <code>cameraMatrix</code>, respectively.</p>
<p>By default, the undistortion functions in OpenCV (see "initUndistortRectifyMap",
"undistort") do not move the principal point. However, when you work with
stereo, it is important to move the principal points in both views to the
same y-coordinate (which is required by most of stereo correspondence
algorithms), and may be to the same x-coordinate too. So, you can form the
new camera matrix for each view where the principal points are located at the
center.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cameraMatrix</CODE> - Input camera matrix.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getdefaultnewcameramatrix">org.opencv.imgproc.Imgproc.getDefaultNewCameraMatrix</a></DL>
</DD>
</DL>
<HR>
<A NAME="getDefaultNewCameraMatrix(org.opencv.core.Mat, org.opencv.core.Size, boolean)"><!-- --></A><H3>
getDefaultNewCameraMatrix</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getDefaultNewCameraMatrix</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imgsize,
boolean centerPrincipalPoint)</PRE>
<DL>
<DD><p>Returns the default new camera matrix.</p>
<p>The function returns the camera matrix that is either an exact copy of the
input <code>cameraMatrix</code> (when <code>centerPrinicipalPoint=false</code>),
or the modified one (when <code>centerPrincipalPoint=true</code>).</p>
<p>In the latter case, the new camera matrix will be:</p>
<p><em>f_x 0(imgSize.width -1)*0.5
0 f_y(imgSize.height -1)*0.5
0 0 1,</em></p>
<p>where <em>f_x</em> and <em>f_y</em> are <em>(0,0)</em> and <em>(1,1)</em>
elements of <code>cameraMatrix</code>, respectively.</p>
<p>By default, the undistortion functions in OpenCV (see "initUndistortRectifyMap",
"undistort") do not move the principal point. However, when you work with
stereo, it is important to move the principal points in both views to the
same y-coordinate (which is required by most of stereo correspondence
algorithms), and may be to the same x-coordinate too. So, you can form the
new camera matrix for each view where the principal points are located at the
center.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cameraMatrix</CODE> - Input camera matrix.<DD><CODE>imgsize</CODE> - Camera view image size in pixels.<DD><CODE>centerPrincipalPoint</CODE> - Location of the principal point in the new camera
matrix. The parameter indicates whether this location should be at the image
center or not.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getdefaultnewcameramatrix">org.opencv.imgproc.Imgproc.getDefaultNewCameraMatrix</a></DL>
</DD>
</DL>
<HR>
<A NAME="getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
getDerivKernels</H3>
<PRE>
public static void <B>getDerivKernels</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kx,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> ky,
int dx,
int dy,
int ksize)</PRE>
<DL>
<DD><p>Returns filter coefficients for computing spatial image derivatives.</p>
<p>The function computes and returns the filter coefficients for spatial image
derivatives. When <code>ksize=CV_SCHARR</code>, the Scharr <em>3 x 3</em>
kernels are generated (see "Scharr"). Otherwise, Sobel kernels are generated
(see "Sobel"). The filters are normally passed to "sepFilter2D" or to
"createSeparableLinearFilter".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>kx</CODE> - Output matrix of row filter coefficients. It has the type
<code>ktype</code>.<DD><CODE>ky</CODE> - Output matrix of column filter coefficients. It has the type
<code>ktype</code>.<DD><CODE>dx</CODE> - Derivative order in respect of x.<DD><CODE>dy</CODE> - Derivative order in respect of y.<DD><CODE>ksize</CODE> - Aperture size. It can be <code>CV_SCHARR</code>, 1, 3, 5, or 7.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getderivkernels">org.opencv.imgproc.Imgproc.getDerivKernels</a></DL>
</DD>
</DL>
<HR>
<A NAME="getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)"><!-- --></A><H3>
getDerivKernels</H3>
<PRE>
public static void <B>getDerivKernels</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kx,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> ky,
int dx,
int dy,
int ksize,
boolean normalize,
int ktype)</PRE>
<DL>
<DD><p>Returns filter coefficients for computing spatial image derivatives.</p>
<p>The function computes and returns the filter coefficients for spatial image
derivatives. When <code>ksize=CV_SCHARR</code>, the Scharr <em>3 x 3</em>
kernels are generated (see "Scharr"). Otherwise, Sobel kernels are generated
(see "Sobel"). The filters are normally passed to "sepFilter2D" or to
"createSeparableLinearFilter".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>kx</CODE> - Output matrix of row filter coefficients. It has the type
<code>ktype</code>.<DD><CODE>ky</CODE> - Output matrix of column filter coefficients. It has the type
<code>ktype</code>.<DD><CODE>dx</CODE> - Derivative order in respect of x.<DD><CODE>dy</CODE> - Derivative order in respect of y.<DD><CODE>ksize</CODE> - Aperture size. It can be <code>CV_SCHARR</code>, 1, 3, 5, or 7.<DD><CODE>normalize</CODE> - Flag indicating whether to normalize (scale down) the filter
coefficients or not. Theoretically, the coefficients should have the
denominator <em>=2^(ksize*2-dx-dy-2)</em>. If you are going to filter
floating-point images, you are likely to use the normalized kernels. But if
you compute derivatives of an 8-bit image, store the results in a 16-bit
image, and wish to preserve all the fractional bits, you may want to set
<code>normalize=false</code>.<DD><CODE>ktype</CODE> - Type of filter coefficients. It can be <code>CV_32f</code> or
<code>CV_64F</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getderivkernels">org.opencv.imgproc.Imgproc.getDerivKernels</a></DL>
</DD>
</DL>
<HR>
<A NAME="getGaborKernel(org.opencv.core.Size, double, double, double, double)"><!-- --></A><H3>
getGaborKernel</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getGaborKernel</B>(<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigma,
double theta,
double lambd,
double gamma)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getGaborKernel(org.opencv.core.Size, double, double, double, double, double, int)"><!-- --></A><H3>
getGaborKernel</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getGaborKernel</B>(<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
double sigma,
double theta,
double lambd,
double gamma,
double psi,
int ktype)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="getGaussianKernel(int, double)"><!-- --></A><H3>
getGaussianKernel</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getGaussianKernel</B>(int ksize,
double sigma)</PRE>
<DL>
<DD><p>Returns Gaussian filter coefficients.</p>
<p>The function computes and returns the <em>ksize x 1</em> matrix of Gaussian
filter coefficients:</p>
<p><em>G_i= alpha *e^(-(i-(ksize -1)/2)^2/(2* sigma)^2),</em></p>
<p>where <em>i=0..ksize-1</em> and <em>alpha</em> is the scale factor chosen so
that <em>sum_i G_i=1</em>.</p>
<p>Two of such generated kernels can be passed to "sepFilter2D" or to
"createSeparableLinearFilter". Those functions automatically recognize
smoothing kernels (a symmetrical kernel with sum of weights equal to 1) and
handle them accordingly. You may also use the higher-level "GaussianBlur".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ksize</CODE> - Aperture size. It should be odd (<em>ksize mod 2 = 1</em>) and
positive.<DD><CODE>sigma</CODE> - Gaussian standard deviation. If it is non-positive, it is
computed from <code>ksize</code> as <code>sigma = 0.3*((ksize-1)*0.5 - 1) +
0.8</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getgaussiankernel">org.opencv.imgproc.Imgproc.getGaussianKernel</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)"><CODE>getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)"><CODE>getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getGaussianKernel(int, double, int)"><!-- --></A><H3>
getGaussianKernel</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getGaussianKernel</B>(int ksize,
double sigma,
int ktype)</PRE>
<DL>
<DD><p>Returns Gaussian filter coefficients.</p>
<p>The function computes and returns the <em>ksize x 1</em> matrix of Gaussian
filter coefficients:</p>
<p><em>G_i= alpha *e^(-(i-(ksize -1)/2)^2/(2* sigma)^2),</em></p>
<p>where <em>i=0..ksize-1</em> and <em>alpha</em> is the scale factor chosen so
that <em>sum_i G_i=1</em>.</p>
<p>Two of such generated kernels can be passed to "sepFilter2D" or to
"createSeparableLinearFilter". Those functions automatically recognize
smoothing kernels (a symmetrical kernel with sum of weights equal to 1) and
handle them accordingly. You may also use the higher-level "GaussianBlur".</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>ksize</CODE> - Aperture size. It should be odd (<em>ksize mod 2 = 1</em>) and
positive.<DD><CODE>sigma</CODE> - Gaussian standard deviation. If it is non-positive, it is
computed from <code>ksize</code> as <code>sigma = 0.3*((ksize-1)*0.5 - 1) +
0.8</code>.<DD><CODE>ktype</CODE> - Type of filter coefficients. It can be <code>CV_32f</code> or
<code>CV_64F</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getgaussiankernel">org.opencv.imgproc.Imgproc.getGaussianKernel</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)"><CODE>getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)"><CODE>getDerivKernels(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, boolean, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getPerspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
getPerspectiveTransform</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getPerspectiveTransform</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Calculates a perspective transform from four pairs of the corresponding
points.</p>
<p>The function calculates the <em>3 x 3</em> matrix of a perspective transform
so that:</p>
<p><em>t_i x'_i
t_i y'_i
t_i = map_matrix * x_i
y_i
1 </em></p>
<p>where</p>
<p><em>dst(i)=(x'_i,y'_i),<BR>src(i)=(x_i, y_i),<BR>i=0,1,2,3</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Coordinates of quadrangle vertices in the source image.<DD><CODE>dst</CODE> - Coordinates of the corresponding quadrangle vertices in the
destination image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getperspectivetransform">org.opencv.imgproc.Imgproc.getPerspectiveTransform</a>,
<A HREF="../../../org/opencv/calib3d/Calib3d.html#findHomography(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, int, double, org.opencv.core.Mat)"><CODE>Calib3d.findHomography(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, int, double, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat)"><!-- --></A><H3>
getRectSubPix</H3>
<PRE>
public static void <B>getRectSubPix</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> patchSize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> patch)</PRE>
<DL>
<DD><p>Retrieves a pixel rectangle from an image with sub-pixel accuracy.</p>
<p>The function <code>getRectSubPix</code> extracts pixels from <code>src</code></p>
<p><em>dst(x, y) = src(x + center.x - (dst.cols -1)*0.5, y + center.y -
(dst.rows -1)*0.5)</em></p>
<p>where the values of the pixels at non-integer coordinates are retrieved using
bilinear interpolation. Every channel of multi-channel images is processed
independently. While the center of the rectangle must be inside the image,
parts of the rectangle may be outside. In this case, the replication border
mode (see "borderInterpolate") is used to extrapolate the pixel values
outside of the image.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - a image<DD><CODE>patchSize</CODE> - Size of the extracted patch.<DD><CODE>center</CODE> - Floating point coordinates of the center of the extracted
rectangle within the source image. The center must be inside the image.<DD><CODE>patch</CODE> - a patch<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getrectsubpix">org.opencv.imgproc.Imgproc.getRectSubPix</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><!-- --></A><H3>
getRectSubPix</H3>
<PRE>
public static void <B>getRectSubPix</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> patchSize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> patch,
int patchType)</PRE>
<DL>
<DD><p>Retrieves a pixel rectangle from an image with sub-pixel accuracy.</p>
<p>The function <code>getRectSubPix</code> extracts pixels from <code>src</code></p>
<p><em>dst(x, y) = src(x + center.x - (dst.cols -1)*0.5, y + center.y -
(dst.rows -1)*0.5)</em></p>
<p>where the values of the pixels at non-integer coordinates are retrieved using
bilinear interpolation. Every channel of multi-channel images is processed
independently. While the center of the rectangle must be inside the image,
parts of the rectangle may be outside. In this case, the replication border
mode (see "borderInterpolate") is used to extrapolate the pixel values
outside of the image.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - a image<DD><CODE>patchSize</CODE> - Size of the extracted patch.<DD><CODE>center</CODE> - Floating point coordinates of the center of the extracted
rectangle within the source image. The center must be inside the image.<DD><CODE>patch</CODE> - a patch<DD><CODE>patchType</CODE> - Depth of the extracted pixels. By default, they have the
same depth as <code>src</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getrectsubpix">org.opencv.imgproc.Imgproc.getRectSubPix</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getRotationMatrix2D(org.opencv.core.Point, double, double)"><!-- --></A><H3>
getRotationMatrix2D</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getRotationMatrix2D</B>(<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
double angle,
double scale)</PRE>
<DL>
<DD><p>Calculates an affine matrix of 2D rotation.</p>
<p>The function calculates the following matrix:</p>
<p><em>alpha beta(1- alpha) * center.x - beta * center.y
- beta alpha beta * center.x + (1- alpha) * center.y </em></p>
<p>where</p>
<p><em>alpha = scale * cos angle,
beta = scale * sin angle </em></p>
<p>The transformation maps the rotation center to itself. If this is not the
target, adjust the shift.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>center</CODE> - Center of the rotation in the source image.<DD><CODE>angle</CODE> - Rotation angle in degrees. Positive values mean
counter-clockwise rotation (the coordinate origin is assumed to be the
top-left corner).<DD><CODE>scale</CODE> - Isotropic scale factor.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#getrotationmatrix2d">org.opencv.imgproc.Imgproc.getRotationMatrix2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getAffineTransform(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f)"><CODE>getAffineTransform(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="getStructuringElement(int, org.opencv.core.Size)"><!-- --></A><H3>
getStructuringElement</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getStructuringElement</B>(int shape,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize)</PRE>
<DL>
<DD><p>Returns a structuring element of the specified size and shape for
morphological operations.</p>
<p>The function constructs and returns the structuring element that can be
further passed to "createMorphologyFilter", "erode", "dilate" or
"morphologyEx". But you can also construct an arbitrary binary mask yourself
and use it as the structuring element.</p>
<p>Note: When using OpenCV 1.x C API, the created structuring element
<code>IplConvKernel* element</code> must be released in the end using
<code>cvReleaseStructuringElement(&element)</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>shape</CODE> - Element shape that could be one of the following:
<ul>
<li> MORPH_RECT - a rectangular structuring element:
</ul>
<p><em>E_(ij)=1</em></p>
<ul>
<li> MORPH_ELLIPSE - an elliptic structuring element, that is, a filled
ellipse inscribed into the rectangle <code>Rect(0, 0, esize.width,
0.esize.height)</code>
<li> MORPH_CROSS - a cross-shaped structuring element:
</ul>
<p><em>E_(ij) = 1 if i=anchor.y or j=anchor.x; 0 otherwise</em></p>
<ul>
<li> CV_SHAPE_CUSTOM - custom structuring element (OpenCV 1.x API)
</ul><DD><CODE>ksize</CODE> - Size of the structuring element.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getstructuringelement">org.opencv.imgproc.Imgproc.getStructuringElement</a></DL>
</DD>
</DL>
<HR>
<A NAME="getStructuringElement(int, org.opencv.core.Size, org.opencv.core.Point)"><!-- --></A><H3>
getStructuringElement</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> <B>getStructuringElement</B>(int shape,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> ksize,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor)</PRE>
<DL>
<DD><p>Returns a structuring element of the specified size and shape for
morphological operations.</p>
<p>The function constructs and returns the structuring element that can be
further passed to "createMorphologyFilter", "erode", "dilate" or
"morphologyEx". But you can also construct an arbitrary binary mask yourself
and use it as the structuring element.</p>
<p>Note: When using OpenCV 1.x C API, the created structuring element
<code>IplConvKernel* element</code> must be released in the end using
<code>cvReleaseStructuringElement(&element)</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>shape</CODE> - Element shape that could be one of the following:
<ul>
<li> MORPH_RECT - a rectangular structuring element:
</ul>
<p><em>E_(ij)=1</em></p>
<ul>
<li> MORPH_ELLIPSE - an elliptic structuring element, that is, a filled
ellipse inscribed into the rectangle <code>Rect(0, 0, esize.width,
0.esize.height)</code>
<li> MORPH_CROSS - a cross-shaped structuring element:
</ul>
<p><em>E_(ij) = 1 if i=anchor.y or j=anchor.x; 0 otherwise</em></p>
<ul>
<li> CV_SHAPE_CUSTOM - custom structuring element (OpenCV 1.x API)
</ul><DD><CODE>ksize</CODE> - Size of the structuring element.<DD><CODE>anchor</CODE> - Anchor position within the element. The default value <em>(-1,
-1)</em> means that the anchor is at the center. Note that only the shape of
a cross-shaped element depends on the anchor position. In other cases the
anchor just regulates how much the result of the morphological operation is
shifted.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#getstructuringelement">org.opencv.imgproc.Imgproc.getStructuringElement</a></DL>
</DD>
</DL>
<HR>
<A NAME="goodFeaturesToTrack(org.opencv.core.Mat, org.opencv.core.MatOfPoint, int, double, double)"><!-- --></A><H3>
goodFeaturesToTrack</H3>
<PRE>
public static void <B>goodFeaturesToTrack</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> corners,
int maxCorners,
double qualityLevel,
double minDistance)</PRE>
<DL>
<DD><p>Determines strong corners on an image.</p>
<p>The function finds the most prominent corners in the image or in the
specified image region, as described in [Shi94]:</p>
<ul>
<li> Function calculates the corner quality measure at every source image
pixel using the "cornerMinEigenVal" or "cornerHarris".
<li> Function performs a non-maximum suppression (the local maximums in *3
x 3* neighborhood are retained).
<li> The corners with the minimal eigenvalue less than <em>qualityLevel *
max_(x,y) qualityMeasureMap(x,y)</em> are rejected.
<li> The remaining corners are sorted by the quality measure in the
descending order.
<li> Function throws away each corner for which there is a stronger corner
at a distance less than <code>maxDistance</code>.
</ul>
<p>The function can be used to initialize a point-based tracker of an object.</p>
<p>Note: If the function is called with different values <code>A</code> and
<code>B</code> of the parameter <code>qualityLevel</code>, and <code>A</code>
> {B}, the vector of returned corners with <code>qualityLevel=A</code> will
be the prefix of the output vector with <code>qualityLevel=B</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input 8-bit or floating-point 32-bit, single-channel image.<DD><CODE>corners</CODE> - Output vector of detected corners.<DD><CODE>maxCorners</CODE> - Maximum number of corners to return. If there are more
corners than are found, the strongest of them is returned.<DD><CODE>qualityLevel</CODE> - Parameter characterizing the minimal accepted quality of
image corners. The parameter value is multiplied by the best corner quality
measure, which is the minimal eigenvalue (see "cornerMinEigenVal") or the
Harris function response (see "cornerHarris"). The corners with the quality
measure less than the product are rejected. For example, if the best corner
has the quality measure = 1500, and the <code>qualityLevel=0.01</code>, then
all the corners with the quality measure less than 15 are rejected.<DD><CODE>minDistance</CODE> - Minimum possible Euclidean distance between the returned
corners.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#goodfeaturestotrack">org.opencv.imgproc.Imgproc.goodFeaturesToTrack</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)"><CODE>cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)</CODE></A>,
<A HREF="../../../org/opencv/video/Video.html#estimateRigidTransform(org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Video.estimateRigidTransform(org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><CODE>cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)</CODE></A>,
<A HREF="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfByte, org.opencv.core.MatOfFloat, org.opencv.core.Size, int, org.opencv.core.TermCriteria, int, double)"><CODE>Video.calcOpticalFlowPyrLK(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfByte, org.opencv.core.MatOfFloat, org.opencv.core.Size, int, org.opencv.core.TermCriteria, int, double)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="goodFeaturesToTrack(org.opencv.core.Mat, org.opencv.core.MatOfPoint, int, double, double, org.opencv.core.Mat, int, boolean, double)"><!-- --></A><H3>
goodFeaturesToTrack</H3>
<PRE>
public static void <B>goodFeaturesToTrack</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> corners,
int maxCorners,
double qualityLevel,
double minDistance,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
int blockSize,
boolean useHarrisDetector,
double k)</PRE>
<DL>
<DD><p>Determines strong corners on an image.</p>
<p>The function finds the most prominent corners in the image or in the
specified image region, as described in [Shi94]:</p>
<ul>
<li> Function calculates the corner quality measure at every source image
pixel using the "cornerMinEigenVal" or "cornerHarris".
<li> Function performs a non-maximum suppression (the local maximums in *3
x 3* neighborhood are retained).
<li> The corners with the minimal eigenvalue less than <em>qualityLevel *
max_(x,y) qualityMeasureMap(x,y)</em> are rejected.
<li> The remaining corners are sorted by the quality measure in the
descending order.
<li> Function throws away each corner for which there is a stronger corner
at a distance less than <code>maxDistance</code>.
</ul>
<p>The function can be used to initialize a point-based tracker of an object.</p>
<p>Note: If the function is called with different values <code>A</code> and
<code>B</code> of the parameter <code>qualityLevel</code>, and <code>A</code>
> {B}, the vector of returned corners with <code>qualityLevel=A</code> will
be the prefix of the output vector with <code>qualityLevel=B</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input 8-bit or floating-point 32-bit, single-channel image.<DD><CODE>corners</CODE> - Output vector of detected corners.<DD><CODE>maxCorners</CODE> - Maximum number of corners to return. If there are more
corners than are found, the strongest of them is returned.<DD><CODE>qualityLevel</CODE> - Parameter characterizing the minimal accepted quality of
image corners. The parameter value is multiplied by the best corner quality
measure, which is the minimal eigenvalue (see "cornerMinEigenVal") or the
Harris function response (see "cornerHarris"). The corners with the quality
measure less than the product are rejected. For example, if the best corner
has the quality measure = 1500, and the <code>qualityLevel=0.01</code>, then
all the corners with the quality measure less than 15 are rejected.<DD><CODE>minDistance</CODE> - Minimum possible Euclidean distance between the returned
corners.<DD><CODE>mask</CODE> - Optional region of interest. If the image is not empty (it needs
to have the type <code>CV_8UC1</code> and the same size as <code>image</code>),
it specifies the region in which the corners are detected.<DD><CODE>blockSize</CODE> - Size of an average block for computing a derivative
covariation matrix over each pixel neighborhood. See "cornerEigenValsAndVecs".<DD><CODE>useHarrisDetector</CODE> - Parameter indicating whether to use a Harris
detector (see "cornerHarris") or "cornerMinEigenVal".<DD><CODE>k</CODE> - Free parameter of the Harris detector.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#goodfeaturestotrack">org.opencv.imgproc.Imgproc.goodFeaturesToTrack</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)"><CODE>cornerHarris(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, int)</CODE></A>,
<A HREF="../../../org/opencv/video/Video.html#estimateRigidTransform(org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Video.estimateRigidTransform(org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><CODE>cornerMinEigenVal(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)</CODE></A>,
<A HREF="../../../org/opencv/video/Video.html#calcOpticalFlowPyrLK(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfByte, org.opencv.core.MatOfFloat, org.opencv.core.Size, int, org.opencv.core.TermCriteria, int, double)"><CODE>Video.calcOpticalFlowPyrLK(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfByte, org.opencv.core.MatOfFloat, org.opencv.core.Size, int, org.opencv.core.TermCriteria, int, double)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="grabCut(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Rect, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
grabCut</H3>
<PRE>
public static void <B>grabCut</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> img,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> bgdModel,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> fgdModel,
int iterCount)</PRE>
<DL>
<DD><p>Runs the GrabCut algorithm.</p>
<p>The function implements the GrabCut image segmentation algorithm
(http://en.wikipedia.org/wiki/GrabCut).
See the sample <code>grabcut.cpp</code> to learn how to use the function.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>img</CODE> - Input 8-bit 3-channel image.<DD><CODE>mask</CODE> - Input/output 8-bit single-channel mask. The mask is initialized
by the function when <code>mode</code> is set to <code>GC_INIT_WITH_RECT</code>.
Its elements may have one of following values:
<ul>
<li> GC_BGD defines an obvious background pixels.
<li> GC_FGD defines an obvious foreground (object) pixel.
<li> GC_PR_BGD defines a possible background pixel.
<li> GC_PR_BGD defines a possible foreground pixel.
</ul><DD><CODE>rect</CODE> - ROI containing a segmented object. The pixels outside of the ROI
are marked as "obvious background". The parameter is only used when
<code>mode==GC_INIT_WITH_RECT</code>.<DD><CODE>bgdModel</CODE> - Temporary array for the background model. Do not modify it
while you are processing the same image.<DD><CODE>fgdModel</CODE> - Temporary arrays for the foreground model. Do not modify it
while you are processing the same image.<DD><CODE>iterCount</CODE> - Number of iterations the algorithm should make before
returning the result. Note that the result can be refined with further calls
with <code>mode==GC_INIT_WITH_MASK</code> or <code>mode==GC_EVAL</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#grabcut">org.opencv.imgproc.Imgproc.grabCut</a></DL>
</DD>
</DL>
<HR>
<A NAME="grabCut(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Rect, org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
grabCut</H3>
<PRE>
public static void <B>grabCut</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> img,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> mask,
<A HREF="../../../org/opencv/core/Rect.html" title="class in org.opencv.core">Rect</A> rect,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> bgdModel,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> fgdModel,
int iterCount,
int mode)</PRE>
<DL>
<DD><p>Runs the GrabCut algorithm.</p>
<p>The function implements the GrabCut image segmentation algorithm
(http://en.wikipedia.org/wiki/GrabCut).
See the sample <code>grabcut.cpp</code> to learn how to use the function.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>img</CODE> - Input 8-bit 3-channel image.<DD><CODE>mask</CODE> - Input/output 8-bit single-channel mask. The mask is initialized
by the function when <code>mode</code> is set to <code>GC_INIT_WITH_RECT</code>.
Its elements may have one of following values:
<ul>
<li> GC_BGD defines an obvious background pixels.
<li> GC_FGD defines an obvious foreground (object) pixel.
<li> GC_PR_BGD defines a possible background pixel.
<li> GC_PR_BGD defines a possible foreground pixel.
</ul><DD><CODE>rect</CODE> - ROI containing a segmented object. The pixels outside of the ROI
are marked as "obvious background". The parameter is only used when
<code>mode==GC_INIT_WITH_RECT</code>.<DD><CODE>bgdModel</CODE> - Temporary array for the background model. Do not modify it
while you are processing the same image.<DD><CODE>fgdModel</CODE> - Temporary arrays for the foreground model. Do not modify it
while you are processing the same image.<DD><CODE>iterCount</CODE> - Number of iterations the algorithm should make before
returning the result. Note that the result can be refined with further calls
with <code>mode==GC_INIT_WITH_MASK</code> or <code>mode==GC_EVAL</code>.<DD><CODE>mode</CODE> - Operation mode that could be one of the following:
<ul>
<li> GC_INIT_WITH_RECT The function initializes the state and the mask
using the provided rectangle. After that it runs <code>iterCount</code>
iterations of the algorithm.
<li> GC_INIT_WITH_MASK The function initializes the state using the
provided mask. Note that <code>GC_INIT_WITH_RECT</code> and <code>GC_INIT_WITH_MASK</code>
can be combined. Then, all the pixels outside of the ROI are automatically
initialized with <code>GC_BGD</code>.
<li> GC_EVAL The value means that the algorithm should just resume.
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#grabcut">org.opencv.imgproc.Imgproc.grabCut</a></DL>
</DD>
</DL>
<HR>
<A NAME="HoughCircles(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double)"><!-- --></A><H3>
HoughCircles</H3>
<PRE>
public static void <B>HoughCircles</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> circles,
int method,
double dp,
double minDist)</PRE>
<DL>
<DD><p>Finds circles in a grayscale image using the Hough transform.</p>
<p>The function finds circles in a grayscale image using a modification of the
Hough transform.
Example: <code></p>
<p>// C++ code:</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>#include <math.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat img, gray;</p>
<p>if(argc != 2 && !(img=imread(argv[1], 1)).data)</p>
<p>return -1;</p>
<p>cvtColor(img, gray, CV_BGR2GRAY);</p>
<p>// smooth it, otherwise a lot of false circles may be detected</p>
<p>GaussianBlur(gray, gray, Size(9, 9), 2, 2);</p>
<p>vector<Vec3f> circles;</p>
<p>HoughCircles(gray, circles, CV_HOUGH_GRADIENT,</p>
<p>2, gray->rows/4, 200, 100);</p>
<p>for(size_t i = 0; i < circles.size(); i++)</p>
<p>Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));</p>
<p>int radius = cvRound(circles[i][2]);</p>
<p>// draw the circle center</p>
<p>circle(img, center, 3, Scalar(0,255,0), -1, 8, 0);</p>
<p>// draw the circle outline</p>
<p>circle(img, center, radius, Scalar(0,0,255), 3, 8, 0);</p>
<p>namedWindow("circles", 1);</p>
<p>imshow("circles", img);</p>
<p>return 0;</p>
<p>Note: Usually the function detects the centers of circles well. However, it
may fail to find correct radii. You can assist to the function by specifying
the radius range (<code>minRadius</code> and <code>maxRadius</code>) if you
know it. Or, you may ignore the returned radius, use only the center, and
find the correct radius using an additional procedure.
</code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel, grayscale input image.<DD><CODE>circles</CODE> - Output vector of found circles. Each vector is encoded as a
3-element floating-point vector <em>(x, y, radius)</em>.<DD><CODE>method</CODE> - Detection method to use. Currently, the only implemented method
is <code>CV_HOUGH_GRADIENT</code>, which is basically *21HT*, described in
[Yuen90].<DD><CODE>dp</CODE> - Inverse ratio of the accumulator resolution to the image
resolution. For example, if <code>dp=1</code>, the accumulator has the same
resolution as the input image. If <code>dp=2</code>, the accumulator has half
as big width and height.<DD><CODE>minDist</CODE> - Minimum distance between the centers of the detected circles.
If the parameter is too small, multiple neighbor circles may be falsely
detected in addition to a true one. If it is too large, some circles may be
missed.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghcircles">org.opencv.imgproc.Imgproc.HoughCircles</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])"><CODE>minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#fitEllipse(org.opencv.core.MatOfPoint2f)"><CODE>fitEllipse(org.opencv.core.MatOfPoint2f)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="HoughCircles(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, double, double, int, int)"><!-- --></A><H3>
HoughCircles</H3>
<PRE>
public static void <B>HoughCircles</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> circles,
int method,
double dp,
double minDist,
double param1,
double param2,
int minRadius,
int maxRadius)</PRE>
<DL>
<DD><p>Finds circles in a grayscale image using the Hough transform.</p>
<p>The function finds circles in a grayscale image using a modification of the
Hough transform.
Example: <code></p>
<p>// C++ code:</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>#include <math.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat img, gray;</p>
<p>if(argc != 2 && !(img=imread(argv[1], 1)).data)</p>
<p>return -1;</p>
<p>cvtColor(img, gray, CV_BGR2GRAY);</p>
<p>// smooth it, otherwise a lot of false circles may be detected</p>
<p>GaussianBlur(gray, gray, Size(9, 9), 2, 2);</p>
<p>vector<Vec3f> circles;</p>
<p>HoughCircles(gray, circles, CV_HOUGH_GRADIENT,</p>
<p>2, gray->rows/4, 200, 100);</p>
<p>for(size_t i = 0; i < circles.size(); i++)</p>
<p>Point center(cvRound(circles[i][0]), cvRound(circles[i][1]));</p>
<p>int radius = cvRound(circles[i][2]);</p>
<p>// draw the circle center</p>
<p>circle(img, center, 3, Scalar(0,255,0), -1, 8, 0);</p>
<p>// draw the circle outline</p>
<p>circle(img, center, radius, Scalar(0,0,255), 3, 8, 0);</p>
<p>namedWindow("circles", 1);</p>
<p>imshow("circles", img);</p>
<p>return 0;</p>
<p>Note: Usually the function detects the centers of circles well. However, it
may fail to find correct radii. You can assist to the function by specifying
the radius range (<code>minRadius</code> and <code>maxRadius</code>) if you
know it. Or, you may ignore the returned radius, use only the center, and
find the correct radius using an additional procedure.
</code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel, grayscale input image.<DD><CODE>circles</CODE> - Output vector of found circles. Each vector is encoded as a
3-element floating-point vector <em>(x, y, radius)</em>.<DD><CODE>method</CODE> - Detection method to use. Currently, the only implemented method
is <code>CV_HOUGH_GRADIENT</code>, which is basically *21HT*, described in
[Yuen90].<DD><CODE>dp</CODE> - Inverse ratio of the accumulator resolution to the image
resolution. For example, if <code>dp=1</code>, the accumulator has the same
resolution as the input image. If <code>dp=2</code>, the accumulator has half
as big width and height.<DD><CODE>minDist</CODE> - Minimum distance between the centers of the detected circles.
If the parameter is too small, multiple neighbor circles may be falsely
detected in addition to a true one. If it is too large, some circles may be
missed.<DD><CODE>param1</CODE> - First method-specific parameter. In case of <code>CV_HOUGH_GRADIENT</code>,
it is the higher threshold of the two passed to the "Canny" edge detector
(the lower one is twice smaller).<DD><CODE>param2</CODE> - Second method-specific parameter. In case of <code>CV_HOUGH_GRADIENT</code>,
it is the accumulator threshold for the circle centers at the detection
stage. The smaller it is, the more false circles may be detected. Circles,
corresponding to the larger accumulator values, will be returned first.<DD><CODE>minRadius</CODE> - Minimum circle radius.<DD><CODE>maxRadius</CODE> - Maximum circle radius.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghcircles">org.opencv.imgproc.Imgproc.HoughCircles</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])"><CODE>minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#fitEllipse(org.opencv.core.MatOfPoint2f)"><CODE>fitEllipse(org.opencv.core.MatOfPoint2f)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="HoughLines(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)"><!-- --></A><H3>
HoughLines</H3>
<PRE>
public static void <B>HoughLines</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold)</PRE>
<DL>
<DD><p>Finds lines in a binary image using the standard Hough transform.</p>
<p>The function implements the standard or standard multi-scale Hough transform
algorithm for line detection. See http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm
for a good explanation of Hough transform.
See also the example in "HoughLinesP" description.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel binary source image. The image may be
modified by the function.<DD><CODE>lines</CODE> - Output vector of lines. Each line is represented by a
two-element vector <em>(rho, theta)</em>. <em>rho</em> is the distance from
the coordinate origin <em>(0,0)</em> (top-left corner of the image).
<em>theta</em> is the line rotation angle in radians (<em>0 ~ vertical line,
pi/2 ~ horizontal line</em>).<DD><CODE>rho</CODE> - Distance resolution of the accumulator in pixels.<DD><CODE>theta</CODE> - Angle resolution of the accumulator in radians.<DD><CODE>threshold</CODE> - Accumulator threshold parameter. Only those lines are
returned that get enough votes (<em>>threshold</em>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghlines">org.opencv.imgproc.Imgproc.HoughLines</a></DL>
</DD>
</DL>
<HR>
<A NAME="HoughLines(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, double, double)"><!-- --></A><H3>
HoughLines</H3>
<PRE>
public static void <B>HoughLines</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold,
double srn,
double stn)</PRE>
<DL>
<DD><p>Finds lines in a binary image using the standard Hough transform.</p>
<p>The function implements the standard or standard multi-scale Hough transform
algorithm for line detection. See http://homepages.inf.ed.ac.uk/rbf/HIPR2/hough.htm
for a good explanation of Hough transform.
See also the example in "HoughLinesP" description.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel binary source image. The image may be
modified by the function.<DD><CODE>lines</CODE> - Output vector of lines. Each line is represented by a
two-element vector <em>(rho, theta)</em>. <em>rho</em> is the distance from
the coordinate origin <em>(0,0)</em> (top-left corner of the image).
<em>theta</em> is the line rotation angle in radians (<em>0 ~ vertical line,
pi/2 ~ horizontal line</em>).<DD><CODE>rho</CODE> - Distance resolution of the accumulator in pixels.<DD><CODE>theta</CODE> - Angle resolution of the accumulator in radians.<DD><CODE>threshold</CODE> - Accumulator threshold parameter. Only those lines are
returned that get enough votes (<em>>threshold</em>).<DD><CODE>srn</CODE> - For the multi-scale Hough transform, it is a divisor for the
distance resolution <code>rho</code>. The coarse accumulator distance
resolution is <code>rho</code> and the accurate accumulator resolution is
<code>rho/srn</code>. If both <code>srn=0</code> and <code>stn=0</code>, the
classical Hough transform is used. Otherwise, both these parameters should be
positive.<DD><CODE>stn</CODE> - For the multi-scale Hough transform, it is a divisor for the
distance resolution <code>theta</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghlines">org.opencv.imgproc.Imgproc.HoughLines</a></DL>
</DD>
</DL>
<HR>
<A NAME="HoughLinesP(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)"><!-- --></A><H3>
HoughLinesP</H3>
<PRE>
public static void <B>HoughLinesP</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold)</PRE>
<DL>
<DD><p>Finds line segments in a binary image using the probabilistic Hough
transform.</p>
<p>The function implements the probabilistic Hough transform algorithm for line
detection, described in[Matas00]. See the line detection example below:
<code></p>
<p>// C++ code:</p>
<p>/ * This is a standalone program. Pass an image name as the first parameter</p>
<p>of the program. Switch between standard and probabilistic Hough transform</p>
<p>by changing "#if 1" to "#if 0" and back * /</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>#include <math.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src, dst, color_dst;</p>
<p>if(argc != 2 || !(src=imread(argv[1], 0)).data)</p>
<p>return -1;</p>
<p>Canny(src, dst, 50, 200, 3);</p>
<p>cvtColor(dst, color_dst, CV_GRAY2BGR);</p>
<p>#if 0</p>
<p>vector<Vec2f> lines;</p>
<p>HoughLines(dst, lines, 1, CV_PI/180, 100);</p>
<p>for(size_t i = 0; i < lines.size(); i++)</p>
<p>float rho = lines[i][0];</p>
<p>float theta = lines[i][1];</p>
<p>double a = cos(theta), b = sin(theta);</p>
<p>double x0 = a*rho, y0 = b*rho;</p>
<p>Point pt1(cvRound(x0 + 1000*(-b)),</p>
<p>cvRound(y0 + 1000*(a)));</p>
<p>Point pt2(cvRound(x0 - 1000*(-b)),</p>
<p>cvRound(y0 - 1000*(a)));</p>
<p>line(color_dst, pt1, pt2, Scalar(0,0,255), 3, 8);</p>
<p>#else</p>
<p>vector<Vec4i> lines;</p>
<p>HoughLinesP(dst, lines, 1, CV_PI/180, 80, 30, 10);</p>
<p>for(size_t i = 0; i < lines.size(); i++)</p>
<p>line(color_dst, Point(lines[i][0], lines[i][1]),</p>
<p>Point(lines[i][2], lines[i][3]), Scalar(0,0,255), 3, 8);</p>
<p>#endif</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>namedWindow("Detected Lines", 1);</p>
<p>imshow("Detected Lines", color_dst);</p>
<p>waitKey(0);</p>
<p>return 0;</p>
<p>This is a sample picture the function parameters have been tuned for: </code></p>
<p>And this is the output of the above program in case of the probabilistic
Hough transform:</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel binary source image. The image may be
modified by the function.<DD><CODE>lines</CODE> - Output vector of lines. Each line is represented by a 4-element
vector <em>(x_1, y_1, x_2, y_2)</em>, where <em>(x_1,y_1)</em> and <em>(x_2,
y_2)</em> are the ending points of each detected line segment.<DD><CODE>rho</CODE> - Distance resolution of the accumulator in pixels.<DD><CODE>theta</CODE> - Angle resolution of the accumulator in radians.<DD><CODE>threshold</CODE> - Accumulator threshold parameter. Only those lines are
returned that get enough votes (<em>>threshold</em>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghlinesp">org.opencv.imgproc.Imgproc.HoughLinesP</a></DL>
</DD>
</DL>
<HR>
<A NAME="HoughLinesP(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, double, double)"><!-- --></A><H3>
HoughLinesP</H3>
<PRE>
public static void <B>HoughLinesP</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> lines,
double rho,
double theta,
int threshold,
double minLineLength,
double maxLineGap)</PRE>
<DL>
<DD><p>Finds line segments in a binary image using the probabilistic Hough
transform.</p>
<p>The function implements the probabilistic Hough transform algorithm for line
detection, described in[Matas00]. See the line detection example below:
<code></p>
<p>// C++ code:</p>
<p>/ * This is a standalone program. Pass an image name as the first parameter</p>
<p>of the program. Switch between standard and probabilistic Hough transform</p>
<p>by changing "#if 1" to "#if 0" and back * /</p>
<p>#include <cv.h></p>
<p>#include <highgui.h></p>
<p>#include <math.h></p>
<p>using namespace cv;</p>
<p>int main(int argc, char argv)</p>
<p>Mat src, dst, color_dst;</p>
<p>if(argc != 2 || !(src=imread(argv[1], 0)).data)</p>
<p>return -1;</p>
<p>Canny(src, dst, 50, 200, 3);</p>
<p>cvtColor(dst, color_dst, CV_GRAY2BGR);</p>
<p>#if 0</p>
<p>vector<Vec2f> lines;</p>
<p>HoughLines(dst, lines, 1, CV_PI/180, 100);</p>
<p>for(size_t i = 0; i < lines.size(); i++)</p>
<p>float rho = lines[i][0];</p>
<p>float theta = lines[i][1];</p>
<p>double a = cos(theta), b = sin(theta);</p>
<p>double x0 = a*rho, y0 = b*rho;</p>
<p>Point pt1(cvRound(x0 + 1000*(-b)),</p>
<p>cvRound(y0 + 1000*(a)));</p>
<p>Point pt2(cvRound(x0 - 1000*(-b)),</p>
<p>cvRound(y0 - 1000*(a)));</p>
<p>line(color_dst, pt1, pt2, Scalar(0,0,255), 3, 8);</p>
<p>#else</p>
<p>vector<Vec4i> lines;</p>
<p>HoughLinesP(dst, lines, 1, CV_PI/180, 80, 30, 10);</p>
<p>for(size_t i = 0; i < lines.size(); i++)</p>
<p>line(color_dst, Point(lines[i][0], lines[i][1]),</p>
<p>Point(lines[i][2], lines[i][3]), Scalar(0,0,255), 3, 8);</p>
<p>#endif</p>
<p>namedWindow("Source", 1);</p>
<p>imshow("Source", src);</p>
<p>namedWindow("Detected Lines", 1);</p>
<p>imshow("Detected Lines", color_dst);</p>
<p>waitKey(0);</p>
<p>return 0;</p>
<p>This is a sample picture the function parameters have been tuned for: </code></p>
<p>And this is the output of the above program in case of the probabilistic
Hough transform:</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - 8-bit, single-channel binary source image. The image may be
modified by the function.<DD><CODE>lines</CODE> - Output vector of lines. Each line is represented by a 4-element
vector <em>(x_1, y_1, x_2, y_2)</em>, where <em>(x_1,y_1)</em> and <em>(x_2,
y_2)</em> are the ending points of each detected line segment.<DD><CODE>rho</CODE> - Distance resolution of the accumulator in pixels.<DD><CODE>theta</CODE> - Angle resolution of the accumulator in radians.<DD><CODE>threshold</CODE> - Accumulator threshold parameter. Only those lines are
returned that get enough votes (<em>>threshold</em>).<DD><CODE>minLineLength</CODE> - Minimum line length. Line segments shorter than that are
rejected.<DD><CODE>maxLineGap</CODE> - Maximum allowed gap between points on the same line to link
them.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#houghlinesp">org.opencv.imgproc.Imgproc.HoughLinesP</a></DL>
</DD>
</DL>
<HR>
<A NAME="HuMoments(org.opencv.imgproc.Moments, org.opencv.core.Mat)"><!-- --></A><H3>
HuMoments</H3>
<PRE>
public static void <B>HuMoments</B>(<A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A> m,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> hu)</PRE>
<DL>
<DD><p>Calculates seven Hu invariants.</p>
<p>The function calculates seven Hu invariants (introduced in [Hu62]; see also
http://en.wikipedia.org/wiki/Image_moment) defined as:</p>
<p><em>hu[0]= eta _20+ eta _02
hu[1]=(eta _20- eta _02)^2+4 eta _11^2
hu[2]=(eta _30-3 eta _12)^2+ (3 eta _21- eta _03)^2
hu[3]=(eta _30+ eta _12)^2+ (eta _21+ eta _03)^2
hu[4]=(eta _30-3 eta _12)(eta _30+ eta _12)[(eta _30+ eta _12)^2-3(eta _21+
eta _03)^2]+(3 eta _21- eta _03)(eta _21+ eta _03)[3(eta _30+ eta _12)^2-(eta
_21+ eta _03)^2]
hu[5]=(eta _20- eta _02)[(eta _30+ eta _12)^2- (eta _21+ eta _03)^2]+4 eta
_11(eta _30+ eta _12)(eta _21+ eta _03)
hu[6]=(3 eta _21- eta _03)(eta _21+ eta _03)[3(eta _30+ eta _12)^2-(eta _21+
eta _03)^2]-(eta _30-3 eta _12)(eta _21+ eta _03)[3(eta _30+ eta _12)^2-(eta
_21+ eta _03)^2]
</em></p>
<p>where <em>eta_(ji)</em> stands for <em>Moments.nu_(ji)</em>.</p>
<p>These values are proved to be invariants to the image scale, rotation, and
reflection except the seventh one, whose sign is changed by reflection. This
invariance is proved with the assumption of infinite image resolution. In
case of raster images, the computed Hu invariants for the original and
transformed images are a bit different.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>m</CODE> - a m<DD><CODE>hu</CODE> - Output Hu invariants.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#humoments">org.opencv.imgproc.Imgproc.HuMoments</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#matchShapes(org.opencv.core.Mat, org.opencv.core.Mat, int, double)"><CODE>matchShapes(org.opencv.core.Mat, org.opencv.core.Mat, int, double)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="initUndistortRectifyMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
initUndistortRectifyMap</H3>
<PRE>
public static void <B>initUndistortRectifyMap</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> R,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> newCameraMatrix,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> size,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2)</PRE>
<DL>
<DD><p>Computes the undistortion and rectification transformation map.</p>
<p>The function computes the joint undistortion and rectification transformation
and represents the result in the form of maps for "remap". The undistorted
image looks like original, as if it is captured with a camera using the
camera matrix <code>=newCameraMatrix</code> and zero distortion. In case of a
monocular camera, <code>newCameraMatrix</code> is usually equal to
<code>cameraMatrix</code>, or it can be computed by "getOptimalNewCameraMatrix"
for a better control over scaling. In case of a stereo camera,
<code>newCameraMatrix</code> is normally set to <code>P1</code> or
<code>P2</code> computed by "stereoRectify".</p>
<p>Also, this new camera is oriented differently in the coordinate space,
according to <code>R</code>. That, for example, helps to align two heads of a
stereo camera so that the epipolar lines on both images become horizontal and
have the same y- coordinate (in case of a horizontally aligned stereo
camera).</p>
<p>The function actually builds the maps for the inverse mapping algorithm that
is used by "remap". That is, for each pixel <em>(u, v)</em> in the
destination (corrected and rectified) image, the function computes the
corresponding coordinates in the source image (that is, in the original image
from camera). The following process is applied:</p>
<p><em>x <- (u - (c')_x)/(f')_x
y <- (v - (c')_y)/(f')_y
([X Y W]) ^T <- R^(-1)*[x y 1]^T
x' <- X/W
y' <- Y/W
x" <- x' (1 + k_1 r^2 + k_2 r^4 + k_3 r^6) + 2p_1 x' y' + p_2(r^2 + 2 x'^2)
y" <- y' (1 + k_1 r^2 + k_2 r^4 + k_3 r^6) + p_1(r^2 + 2 y'^2) + 2 p_2 x' y'
map_x(u,v) <- x" f_x + c_x
map_y(u,v) <- y" f_y + c_y </em></p>
<p>where <em>(k_1, k_2, p_1, p_2[, k_3])</em> are the distortion coefficients.</p>
<p>In case of a stereo camera, this function is called twice: once for each
camera head, after "stereoRectify", which in its turn is called after
"stereoCalibrate". But if the stereo camera was not calibrated, it is still
possible to compute the rectification transformations directly from the
fundamental matrix using "stereoRectifyUncalibrated". For each camera, the
function computes homography <code>H</code> as the rectification
transformation in a pixel domain, not a rotation matrix <code>R</code> in 3D
space. <code>R</code> can be computed from <code>H</code> as</p>
<p><em>R = cameraMatrix ^(-1) * H * cameraMatrix</em></p>
<p>where <code>cameraMatrix</code> can be chosen arbitrarily.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>cameraMatrix</CODE> - Input camera matrix <em>A=
<p>|f_x 0 c_x|
|0 f_y c_y|
|0 0 1|
</em>.</p><DD><CODE>distCoeffs</CODE> - Input vector of distortion coefficients <em>(k_1, k_2, p_1,
p_2[, k_3[, k_4, k_5, k_6]])</em> of 4, 5, or 8 elements. If the vector is
NULL/empty, the zero distortion coefficients are assumed.<DD><CODE>R</CODE> - Optional rectification transformation in the object space (3x3
matrix). <code>R1</code> or <code>R2</code>, computed by "stereoRectify" can
be passed here. If the matrix is empty, the identity transformation is
assumed. In <code>cvInitUndistortMap</code> R assumed to be an identity
matrix.<DD><CODE>newCameraMatrix</CODE> - New camera matrix <em>A'=
<p>|f_x' 0 c_x'|
|0 f_y' c_y'|
|0 0 1|
</em>.</p><DD><CODE>size</CODE> - Undistorted image size.<DD><CODE>m1type</CODE> - Type of the first output map that can be <code>CV_32FC1</code>
or <code>CV_16SC2</code>. See "convertMaps" for details.<DD><CODE>map1</CODE> - The first output map.<DD><CODE>map2</CODE> - The second output map.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#initundistortrectifymap">org.opencv.imgproc.Imgproc.initUndistortRectifyMap</a></DL>
</DD>
</DL>
<HR>
<A NAME="initWideAngleProjMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
initWideAngleProjMap</H3>
<PRE>
public static float <B>initWideAngleProjMap</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imageSize,
int destImageWidth,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="initWideAngleProjMap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Mat, org.opencv.core.Mat, int, double)"><!-- --></A><H3>
initWideAngleProjMap</H3>
<PRE>
public static float <B>initWideAngleProjMap</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> imageSize,
int destImageWidth,
int m1type,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int projType,
double alpha)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="integral(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
integral</H3>
<PRE>
public static void <B>integral</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="integral(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
integral</H3>
<PRE>
public static void <B>integral</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
int sdepth)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DD><CODE>sdepth</CODE> - desired depth of the integral and the tilted integral images,
<code>CV_32S</code>, <code>CV_32F</code>, or <code>CV_64F</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="integral2(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
integral2</H3>
<PRE>
public static void <B>integral2</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DD><CODE>sqsum</CODE> - integral image for squared pixel values; it is <em>(W+1)x(H+1)</em>,
double-precision floating-point (64f) array.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="integral2(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
integral2</H3>
<PRE>
public static void <B>integral2</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
int sdepth)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DD><CODE>sqsum</CODE> - integral image for squared pixel values; it is <em>(W+1)x(H+1)</em>,
double-precision floating-point (64f) array.<DD><CODE>sdepth</CODE> - desired depth of the integral and the tilted integral images,
<code>CV_32S</code>, <code>CV_32F</code>, or <code>CV_64F</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="integral3(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
integral3</H3>
<PRE>
public static void <B>integral3</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> tilted)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DD><CODE>sqsum</CODE> - integral image for squared pixel values; it is <em>(W+1)x(H+1)</em>,
double-precision floating-point (64f) array.<DD><CODE>tilted</CODE> - integral for the image rotated by 45 degrees; it is
<em>(W+1)x(H+1)</em> array with the same data type as <code>sum</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="integral3(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
integral3</H3>
<PRE>
public static void <B>integral3</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> sqsum,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> tilted,
int sdepth)</PRE>
<DL>
<DD><p>Calculates the integral of an image.</p>
<p>The functions calculate one or more integral images for the source image as
follows:</p>
<p><em>sum(X,Y) = sum(by: x<X,y<Y) image(x,y)</em></p>
<p><em>sqsum(X,Y) = sum(by: x<X,y<Y) image(x,y)^2</em></p>
<p><em>tilted(X,Y) = sum(by: y<Y,abs(x-X+1) <= Y-y-1) image(x,y)</em></p>
<p>Using these integral images, you can calculate sa um, mean, and standard
deviation over a specific up-right or rotated rectangular region of the image
in a constant time, for example:</p>
<p><em>sum(by: x_1 <= x < x_2, y_1 <= y < y_2) image(x,y) = sum(x_2,y_2)-
sum(x_1,y_2)- sum(x_2,y_1)+ sum(x_1,y_1)</em></p>
<p>It makes possible to do a fast blurring or fast block correlation with a
variable window size, for example. In case of multi-channel images, sums for
each channel are accumulated independently.</p>
<p>As a practical example, the next figure shows the calculation of the integral
of a straight rectangle <code>Rect(3,3,3,2)</code> and of a tilted rectangle
<code>Rect(5,1,2,3)</code>. The selected pixels in the original
<code>image</code> are shown, as well as the relative pixels in the integral
images <code>sum</code> and <code>tilted</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - a src<DD><CODE>sum</CODE> - integral image as <em>(W+1)x(H+1)</em>, 32-bit integer or
floating-point (32f or 64f).<DD><CODE>sqsum</CODE> - integral image for squared pixel values; it is <em>(W+1)x(H+1)</em>,
double-precision floating-point (64f) array.<DD><CODE>tilted</CODE> - integral for the image rotated by 45 degrees; it is
<em>(W+1)x(H+1)</em> array with the same data type as <code>sum</code>.<DD><CODE>sdepth</CODE> - desired depth of the integral and the tilted integral images,
<code>CV_32S</code>, <code>CV_32F</code>, or <code>CV_64F</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#integral">org.opencv.imgproc.Imgproc.integral</a></DL>
</DD>
</DL>
<HR>
<A NAME="intersectConvexConvex(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
intersectConvexConvex</H3>
<PRE>
public static float <B>intersectConvexConvex</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p12)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="intersectConvexConvex(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><!-- --></A><H3>
intersectConvexConvex</H3>
<PRE>
public static float <B>intersectConvexConvex</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> _p12,
boolean handleNested)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="invertAffineTransform(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
invertAffineTransform</H3>
<PRE>
public static void <B>invertAffineTransform</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> iM)</PRE>
<DL>
<DD><p>Inverts an affine transformation.</p>
<p>The function computes an inverse affine transformation represented by <em>2 x
3</em> matrix <code>M</code> :</p>
<p><em>a_11 a_12 b_1
a_21 a_22 b_2 </em></p>
<p>The result is also a <em>2 x 3</em> matrix of the same type as
<code>M</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>M</CODE> - Original affine transformation.<DD><CODE>iM</CODE> - Output reverse affine transformation.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#invertaffinetransform">org.opencv.imgproc.Imgproc.invertAffineTransform</a></DL>
</DD>
</DL>
<HR>
<A NAME="isContourConvex(org.opencv.core.MatOfPoint)"><!-- --></A><H3>
isContourConvex</H3>
<PRE>
public static boolean <B>isContourConvex</B>(<A HREF="../../../org/opencv/core/MatOfPoint.html" title="class in org.opencv.core">MatOfPoint</A> contour)</PRE>
<DL>
<DD><p>Tests a contour convexity.</p>
<p>The function tests whether the input contour is convex or not. The contour
must be simple, that is, without self-intersections. Otherwise, the function
output is undefined.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour</CODE> - Input vector of 2D points, stored in:
<ul>
<li> <code>std.vector<></code> or <code>Mat</code> (C++ interface)
<li> <code>CvSeq*</code> or <code>CvMat*</code> (C interface)
<li> Nx2 numpy array (Python interface)
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#iscontourconvex">org.opencv.imgproc.Imgproc.isContourConvex</a></DL>
</DD>
</DL>
<HR>
<A NAME="Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
Laplacian</H3>
<PRE>
public static void <B>Laplacian</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth)</PRE>
<DL>
<DD><p>Calculates the Laplacian of an image.</p>
<p>The function calculates the Laplacian of the source image by adding up the
second x and y derivatives calculated using the Sobel operator:</p>
<p><em>dst = Delta src = (d^2 src)/(dx^2) + (d^2 src)/(dy^2)</em></p>
<p>This is done when <code>ksize > 1</code>. When <code>ksize == 1</code>, the
Laplacian is computed by filtering the image with the following <em>3 x
3</em> aperture:</p>
<p><em>vecthreethree 0101(-4)1010</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Desired depth of the destination image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#laplacian">org.opencv.imgproc.Imgproc.Laplacian</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double)"><!-- --></A><H3>
Laplacian</H3>
<PRE>
public static void <B>Laplacian</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int ksize,
double scale,
double delta)</PRE>
<DL>
<DD><p>Calculates the Laplacian of an image.</p>
<p>The function calculates the Laplacian of the source image by adding up the
second x and y derivatives calculated using the Sobel operator:</p>
<p><em>dst = Delta src = (d^2 src)/(dx^2) + (d^2 src)/(dy^2)</em></p>
<p>This is done when <code>ksize > 1</code>. When <code>ksize == 1</code>, the
Laplacian is computed by filtering the image with the following <em>3 x
3</em> aperture:</p>
<p><em>vecthreethree 0101(-4)1010</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Desired depth of the destination image.<DD><CODE>ksize</CODE> - Aperture size used to compute the second-derivative filters. See
"getDerivKernels" for details. The size must be positive and odd.<DD><CODE>scale</CODE> - Optional scale factor for the computed Laplacian values. By
default, no scaling is applied. See "getDerivKernels" for details.<DD><CODE>delta</CODE> - Optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#laplacian">org.opencv.imgproc.Imgproc.Laplacian</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)"><!-- --></A><H3>
Laplacian</H3>
<PRE>
public static void <B>Laplacian</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int ksize,
double scale,
double delta,
int borderType)</PRE>
<DL>
<DD><p>Calculates the Laplacian of an image.</p>
<p>The function calculates the Laplacian of the source image by adding up the
second x and y derivatives calculated using the Sobel operator:</p>
<p><em>dst = Delta src = (d^2 src)/(dx^2) + (d^2 src)/(dy^2)</em></p>
<p>This is done when <code>ksize > 1</code>. When <code>ksize == 1</code>, the
Laplacian is computed by filtering the image with the following <em>3 x
3</em> aperture:</p>
<p><em>vecthreethree 0101(-4)1010</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Desired depth of the destination image.<DD><CODE>ksize</CODE> - Aperture size used to compute the second-derivative filters. See
"getDerivKernels" for details. The size must be positive and odd.<DD><CODE>scale</CODE> - Optional scale factor for the computed Laplacian values. By
default, no scaling is applied. See "getDerivKernels" for details.<DD><CODE>delta</CODE> - Optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate" for
details.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#laplacian">org.opencv.imgproc.Imgproc.Laplacian</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="matchShapes(org.opencv.core.Mat, org.opencv.core.Mat, int, double)"><!-- --></A><H3>
matchShapes</H3>
<PRE>
public static double <B>matchShapes</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> contour2,
int method,
double parameter)</PRE>
<DL>
<DD><p>Compares two shapes.</p>
<p>The function compares two shapes. All three implemented methods use the Hu
invariants (see "HuMoments") as follows (<em>A</em> denotes <code>object1</code>,<em>B</em>
denotes <code>object2</code>):</p>
<ul>
<li> method=CV_CONTOURS_MATCH_I1
</ul>
<p><em>I_1(A,B) = sum(by: i=1...7) <= ft|1/(m^A_i) - 1/(m^B_i) right|</em></p>
<ul>
<li> method=CV_CONTOURS_MATCH_I2
</ul>
<p><em>I_2(A,B) = sum(by: i=1...7) <= ft|m^A_i - m^B_i right|</em></p>
<ul>
<li> method=CV_CONTOURS_MATCH_I3
</ul>
<p><em>I_3(A,B) = max _(i=1...7)(<= ft| m^A_i - m^B_i right|)/(<= ft| m^A_i
right|)</em></p>
<p>where</p>
<p><em>m^A_i = sign(h^A_i) * log(h^A_i)
m^B_i = sign(h^B_i) * log(h^B_i) </em></p>
<p>and <em>h^A_i, h^B_i</em> are the Hu moments of <em>A</em> and <em>B</em>,
respectively.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour1</CODE> - a contour1<DD><CODE>contour2</CODE> - a contour2<DD><CODE>method</CODE> - Comparison method: <code>CV_CONTOURS_MATCH_I1</code>,
<code>CV_CONTOURS_MATCH_I2</code> \
<p>or <code>CV_CONTOURS_MATCH_I3</code> (see the details below).</p><DD><CODE>parameter</CODE> - Method-specific parameter (not supported now).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#matchshapes">org.opencv.imgproc.Imgproc.matchShapes</a></DL>
</DD>
</DL>
<HR>
<A NAME="matchTemplate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
matchTemplate</H3>
<PRE>
public static void <B>matchTemplate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> templ,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> result,
int method)</PRE>
<DL>
<DD><p>Compares a template against overlapped image regions.</p>
<p>The function slides through <code>image</code>, compares the overlapped
patches of size <em>w x h</em> against <code>templ</code> using the specified
method and stores the comparison results in <code>result</code>. Here are the
formulae for the available comparison methods (<em>I</em> denotes
<code>image</code>, <em>T</em> <code>template</code>, <em>R</em>
<code>result</code>). The summation is done over template and/or the image
patch: <em>x' = 0...w-1, y' = 0...h-1</em></p>
<ul>
<li> method=CV_TM_SQDIFF
</ul>
<p><em>R(x,y)= sum(by: x',y')(T(x',y')-I(x+x',y+y'))^2</em></p>
<ul>
<li> method=CV_TM_SQDIFF_NORMED
</ul>
<p><em>R(x,y)= (sum_(x',y')(T(x',y')-I(x+x',y+y'))^2)/(sqrt(sum_(x',y')T(x',y')^2
* sum_(x',y') I(x+x',y+y')^2))</em></p>
<ul>
<li> method=CV_TM_CCORR
</ul>
<p><em>R(x,y)= sum(by: x',y')(T(x',y') * I(x+x',y+y'))</em></p>
<ul>
<li> method=CV_TM_CCORR_NORMED
</ul>
<p><em>R(x,y)= (sum_(x',y')(T(x',y') * I(x+x',y+y')))/(sqrt(sum_(x',y')T(x',y')^2
* sum_(x',y') I(x+x',y+y')^2))</em></p>
<ul>
<li> method=CV_TM_CCOEFF
</ul>
<p><em>R(x,y)= sum(by: x',y')(T'(x',y') * I'(x+x',y+y'))</em></p>
<p>where</p>
<p><em>T'(x',y')=T(x',y') - 1/(w * h) * sum(by: x'',y'') T(x'',y'')
I'(x+x',y+y')=I(x+x',y+y') - 1/(w * h) * sum(by: x'',y'') I(x+x'',y+y'')
</em></p>
<ul>
<li> method=CV_TM_CCOEFF_NORMED
</ul>
<p><em>R(x,y)= (sum_(x',y')(T'(x',y') * I'(x+x',y+y')))/(sqrt(sum_(x',y')T'(x',y')^2
* sum_(x',y') I'(x+x',y+y')^2))</em></p>
<p>After the function finishes the comparison, the best matches can be found as
global minimums (when <code>CV_TM_SQDIFF</code> was used) or maximums (when
<code>CV_TM_CCORR</code> or <code>CV_TM_CCOEFF</code> was used) using the
"minMaxLoc" function. In case of a color image, template summation in the
numerator and each sum in the denominator is done over all of the channels
and separate mean values are used for each channel. That is, the function can
take a color template and a color image. The result will still be a
single-channel image, which is easier to analyze.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Image where the search is running. It must be 8-bit or 32-bit
floating-point.<DD><CODE>templ</CODE> - Searched template. It must be not greater than the source image
and have the same data type.<DD><CODE>result</CODE> - Map of comparison results. It must be single-channel 32-bit
floating-point. If <code>image</code> is <em>W x H</em> and <code>templ</code>
is <em>w x h</em>, then <code>result</code> is <em>(W-w+1) x(H-h+1)</em>.<DD><CODE>method</CODE> - Parameter specifying the comparison method (see below).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/object_detection.html#matchtemplate">org.opencv.imgproc.Imgproc.matchTemplate</a></DL>
</DD>
</DL>
<HR>
<A NAME="medianBlur(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
medianBlur</H3>
<PRE>
public static void <B>medianBlur</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize)</PRE>
<DL>
<DD><p>Blurs an image using the median filter.</p>
<p>The function smoothes an image using the median filter with the <em>ksize x
ksize</em> aperture. Each channel of a multi-channel image is processed
independently. In-place operation is supported.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input 1-, 3-, or 4-channel image; when <code>ksize</code> is 3 or
5, the image depth should be <code>CV_8U</code>, <code>CV_16U</code>, or
<code>CV_32F</code>, for larger aperture sizes, it can only be
<code>CV_8U</code>.<DD><CODE>dst</CODE> - destination array of the same size and type as <code>src</code>.<DD><CODE>ksize</CODE> - aperture linear size; it must be odd and greater than 1, for
example: 3, 5, 7...<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#medianblur">org.opencv.imgproc.Imgproc.medianBlur</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)"><CODE>bilateralFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="minAreaRect(org.opencv.core.MatOfPoint2f)"><!-- --></A><H3>
minAreaRect</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/RotatedRect.html" title="class in org.opencv.core">RotatedRect</A> <B>minAreaRect</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points)</PRE>
<DL>
<DD><p>Finds a rotated rectangle of the minimum area enclosing the input 2D point
set.</p>
<p>The function calculates and returns the minimum-area bounding rectangle
(possibly rotated) for a specified point set. See the OpenCV sample
<code>minarea.cpp</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input vector of 2D points, stored in:
<ul>
<li> <code>std.vector<></code> or <code>Mat</code> (C++ interface)
<li> <code>CvSeq*</code> or <code>CvMat*</code> (C interface)
<li> Nx2 numpy array (Python interface)
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#minarearect">org.opencv.imgproc.Imgproc.minAreaRect</a></DL>
</DD>
</DL>
<HR>
<A NAME="minEnclosingCircle(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, float[])"><!-- --></A><H3>
minEnclosingCircle</H3>
<PRE>
public static void <B>minEnclosingCircle</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> points,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> center,
float[] radius)</PRE>
<DL>
<DD><p>Finds a circle of the minimum area enclosing a 2D point set.</p>
<p>The function finds the minimal enclosing circle of a 2D point set using an
iterative algorithm. See the OpenCV sample <code>minarea.cpp</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>points</CODE> - Input vector of 2D points, stored in:
<ul>
<li> <code>std.vector<></code> or <code>Mat</code> (C++ interface)
<li> <code>CvSeq*</code> or <code>CvMat*</code> (C interface)
<li> Nx2 numpy array (Python interface)
</ul><DD><CODE>center</CODE> - Output center of the circle.<DD><CODE>radius</CODE> - Output radius of the circle.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#minenclosingcircle">org.opencv.imgproc.Imgproc.minEnclosingCircle</a></DL>
</DD>
</DL>
<HR>
<A NAME="moments(org.opencv.core.Mat)"><!-- --></A><H3>
moments</H3>
<PRE>
public static <A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A> <B>moments</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> array)</PRE>
<DL>
<DD><p>Calculates all of the moments up to the third order of a polygon or
rasterized shape.</p>
<p>The function computes moments, up to the 3rd order, of a vector shape or a
rasterized shape. The results are returned in the structure <code>Moments</code>
defined as: <code></p>
<p>// C++ code:</p>
<p>class Moments</p>
<p>public:</p>
<p>Moments();</p>
<p>Moments(double m00, double m10, double m01, double m20, double m11,</p>
<p>double m02, double m30, double m21, double m12, double m03);</p>
<p>Moments(const CvMoments& moments);</p>
<p>operator CvMoments() const;</p>
<p>// spatial moments</p>
<p>double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03;</p>
<p>// central moments</p>
<p>double mu20, mu11, mu02, mu30, mu21, mu12, mu03;</p>
<p>// central normalized moments</p>
<p>double nu20, nu11, nu02, nu30, nu21, nu12, nu03;</p>
<p>In case of a raster image, the spatial moments <em>Moments.m_(ji)</em> are
computed as: </code></p>
<p><em>m _(ji)= sum(by: x,y)(array(x,y) * x^j * y^i)</em></p>
<p>The central moments <em>Moments.mu_(ji)</em> are computed as:</p>
<p><em>mu _(ji)= sum(by: x,y)(array(x,y) * (x - x")^j * (y - y")^i)</em></p>
<p>where <em>(x", y")</em> is the mass center:</p>
<p><em>x" = (m_10)/(m_(00)), y" = (m_01)/(m_(00))</em></p>
<p>The normalized central moments <em>Moments.nu_(ij)</em> are computed as:</p>
<p><em>nu _(ji)= (mu_(ji))/(m_(00)^((i+j)/2+1)).</em></p>
<p>Note:</p>
<p><em>mu_00=m_00</em>, <em>nu_00=1</em> <em>nu_10=mu_10=mu_01=mu_10=0</em>,
hence the values are not stored.</p>
<p>The moments of a contour are defined in the same way but computed using the
Green's formula (see http://en.wikipedia.org/wiki/Green_theorem). So, due to
a limited raster resolution, the moments computed for a contour are slightly
different from the moments computed for the same rasterized contour.</p>
<p>Note:</p>
<p>Since the contour moments are computed using Green formula, you may get
seemingly odd results for contours with self-intersections, e.g. a zero area
(<code>m00</code>) for butterfly-shaped contours.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>array</CODE> - Raster image (single-channel, 8-bit or floating-point 2D array)
or an array (<em>1 x N</em> or <em>N x 1</em>) of 2D points (<code>Point</code>
or <code>Point2f</code>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#moments">org.opencv.imgproc.Imgproc.moments</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#contourArea(org.opencv.core.Mat, boolean)"><CODE>contourArea(org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#arcLength(org.opencv.core.MatOfPoint2f, boolean)"><CODE>arcLength(org.opencv.core.MatOfPoint2f, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="moments(org.opencv.core.Mat, boolean)"><!-- --></A><H3>
moments</H3>
<PRE>
public static <A HREF="../../../org/opencv/imgproc/Moments.html" title="class in org.opencv.imgproc">Moments</A> <B>moments</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> array,
boolean binaryImage)</PRE>
<DL>
<DD><p>Calculates all of the moments up to the third order of a polygon or
rasterized shape.</p>
<p>The function computes moments, up to the 3rd order, of a vector shape or a
rasterized shape. The results are returned in the structure <code>Moments</code>
defined as: <code></p>
<p>// C++ code:</p>
<p>class Moments</p>
<p>public:</p>
<p>Moments();</p>
<p>Moments(double m00, double m10, double m01, double m20, double m11,</p>
<p>double m02, double m30, double m21, double m12, double m03);</p>
<p>Moments(const CvMoments& moments);</p>
<p>operator CvMoments() const;</p>
<p>// spatial moments</p>
<p>double m00, m10, m01, m20, m11, m02, m30, m21, m12, m03;</p>
<p>// central moments</p>
<p>double mu20, mu11, mu02, mu30, mu21, mu12, mu03;</p>
<p>// central normalized moments</p>
<p>double nu20, nu11, nu02, nu30, nu21, nu12, nu03;</p>
<p>In case of a raster image, the spatial moments <em>Moments.m_(ji)</em> are
computed as: </code></p>
<p><em>m _(ji)= sum(by: x,y)(array(x,y) * x^j * y^i)</em></p>
<p>The central moments <em>Moments.mu_(ji)</em> are computed as:</p>
<p><em>mu _(ji)= sum(by: x,y)(array(x,y) * (x - x")^j * (y - y")^i)</em></p>
<p>where <em>(x", y")</em> is the mass center:</p>
<p><em>x" = (m_10)/(m_(00)), y" = (m_01)/(m_(00))</em></p>
<p>The normalized central moments <em>Moments.nu_(ij)</em> are computed as:</p>
<p><em>nu _(ji)= (mu_(ji))/(m_(00)^((i+j)/2+1)).</em></p>
<p>Note:</p>
<p><em>mu_00=m_00</em>, <em>nu_00=1</em> <em>nu_10=mu_10=mu_01=mu_10=0</em>,
hence the values are not stored.</p>
<p>The moments of a contour are defined in the same way but computed using the
Green's formula (see http://en.wikipedia.org/wiki/Green_theorem). So, due to
a limited raster resolution, the moments computed for a contour are slightly
different from the moments computed for the same rasterized contour.</p>
<p>Note:</p>
<p>Since the contour moments are computed using Green formula, you may get
seemingly odd results for contours with self-intersections, e.g. a zero area
(<code>m00</code>) for butterfly-shaped contours.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>array</CODE> - Raster image (single-channel, 8-bit or floating-point 2D array)
or an array (<em>1 x N</em> or <em>N x 1</em>) of 2D points (<code>Point</code>
or <code>Point2f</code>).<DD><CODE>binaryImage</CODE> - If it is true, all non-zero image pixels are treated as
1's. The parameter is used for images only.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#moments">org.opencv.imgproc.Imgproc.moments</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#contourArea(org.opencv.core.Mat, boolean)"><CODE>contourArea(org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#arcLength(org.opencv.core.MatOfPoint2f, boolean)"><CODE>arcLength(org.opencv.core.MatOfPoint2f, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat)"><!-- --></A><H3>
morphologyEx</H3>
<PRE>
public static void <B>morphologyEx</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel)</PRE>
<DL>
<DD><p>Performs advanced morphological transformations.</p>
<p>The function can perform advanced morphological transformations using an
erosion and dilation as basic operations.</p>
<p>Opening operation:</p>
<p><em>dst = open(src, element)= dilate(erode(src, element))</em></p>
<p>Closing operation:</p>
<p><em>dst = close(src, element)= erode(dilate(src, element))</em></p>
<p>Morphological gradient:</p>
<p><em>dst = morph_grad(src, element)= dilate(src, element)- erode(src,
element)</em></p>
<p>"Top hat":</p>
<p><em>dst = tophat(src, element)= src - open(src, element)</em></p>
<p>"Black hat":</p>
<p><em>dst = blackhat(src, element)= close(src, element)- src</em></p>
<p>Any of the operations can be done in-place. In case of multi-channel images,
each channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image. The number of channels can be arbitrary. The depth
should be one of <code>CV_8U</code>, <code>CV_16U</code>, <code>CV_16S</code>,
<code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DD><CODE>op</CODE> - Type of a morphological operation that can be one of the following:
<ul>
<li> MORPH_OPEN - an opening operation
<li> MORPH_CLOSE - a closing operation
<li> MORPH_GRADIENT - a morphological gradient
<li> MORPH_TOPHAT - "top hat"
<li> MORPH_BLACKHAT - "black hat"
</ul><DD><CODE>kernel</CODE> - a kernel<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#morphologyex">org.opencv.imgproc.Imgproc.morphologyEx</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int)"><!-- --></A><H3>
morphologyEx</H3>
<PRE>
public static void <B>morphologyEx</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations)</PRE>
<DL>
<DD><p>Performs advanced morphological transformations.</p>
<p>The function can perform advanced morphological transformations using an
erosion and dilation as basic operations.</p>
<p>Opening operation:</p>
<p><em>dst = open(src, element)= dilate(erode(src, element))</em></p>
<p>Closing operation:</p>
<p><em>dst = close(src, element)= erode(dilate(src, element))</em></p>
<p>Morphological gradient:</p>
<p><em>dst = morph_grad(src, element)= dilate(src, element)- erode(src,
element)</em></p>
<p>"Top hat":</p>
<p><em>dst = tophat(src, element)= src - open(src, element)</em></p>
<p>"Black hat":</p>
<p><em>dst = blackhat(src, element)= close(src, element)- src</em></p>
<p>Any of the operations can be done in-place. In case of multi-channel images,
each channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image. The number of channels can be arbitrary. The depth
should be one of <code>CV_8U</code>, <code>CV_16U</code>, <code>CV_16S</code>,
<code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DD><CODE>op</CODE> - Type of a morphological operation that can be one of the following:
<ul>
<li> MORPH_OPEN - an opening operation
<li> MORPH_CLOSE - a closing operation
<li> MORPH_GRADIENT - a morphological gradient
<li> MORPH_TOPHAT - "top hat"
<li> MORPH_BLACKHAT - "black hat"
</ul><DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - a anchor<DD><CODE>iterations</CODE> - Number of times erosion and dilation are applied.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#morphologyex">org.opencv.imgproc.Imgproc.morphologyEx</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="morphologyEx(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
morphologyEx</H3>
<PRE>
public static void <B>morphologyEx</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int op,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernel,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
int iterations,
int borderType,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Performs advanced morphological transformations.</p>
<p>The function can perform advanced morphological transformations using an
erosion and dilation as basic operations.</p>
<p>Opening operation:</p>
<p><em>dst = open(src, element)= dilate(erode(src, element))</em></p>
<p>Closing operation:</p>
<p><em>dst = close(src, element)= erode(dilate(src, element))</em></p>
<p>Morphological gradient:</p>
<p><em>dst = morph_grad(src, element)= dilate(src, element)- erode(src,
element)</em></p>
<p>"Top hat":</p>
<p><em>dst = tophat(src, element)= src - open(src, element)</em></p>
<p>"Black hat":</p>
<p><em>dst = blackhat(src, element)= close(src, element)- src</em></p>
<p>Any of the operations can be done in-place. In case of multi-channel images,
each channel is processed independently.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image. The number of channels can be arbitrary. The depth
should be one of <code>CV_8U</code>, <code>CV_16U</code>, <code>CV_16S</code>,
<code>CV_32F" or </code>CV_64F".<DD><CODE>dst</CODE> - Destination image of the same size and type as <code>src</code>.<DD><CODE>op</CODE> - Type of a morphological operation that can be one of the following:
<ul>
<li> MORPH_OPEN - an opening operation
<li> MORPH_CLOSE - a closing operation
<li> MORPH_GRADIENT - a morphological gradient
<li> MORPH_TOPHAT - "top hat"
<li> MORPH_BLACKHAT - "black hat"
</ul><DD><CODE>kernel</CODE> - a kernel<DD><CODE>anchor</CODE> - a anchor<DD><CODE>iterations</CODE> - Number of times erosion and dilation are applied.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate" for
details.<DD><CODE>borderValue</CODE> - Border value in case of a constant border. The default
value has a special meaning. See "createMorphologyFilter" for details.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#morphologyex">org.opencv.imgproc.Imgproc.morphologyEx</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>erode(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)"><CODE>dilate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
phaseCorrelate</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> <B>phaseCorrelate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2)</PRE>
<DL>
<DD><p>The function is used to detect translational shifts that occur between two
images. The operation takes advantage of the Fourier shift theorem for
detecting the translational shift in the frequency domain. It can be used for
fast image registration as well as motion estimation. For more information
please see http://en.wikipedia.org/wiki/Phase_correlation.</p>
<p>Calculates the cross-power spectrum of two supplied source arrays. The arrays
are padded if needed with "getOptimalDFTSize".</p>
<p>Return value: detected phase shift (sub-pixel) between the two arrays.</p>
<p>The function performs the following equations</p>
<ul>
<li> First it applies a Hanning window (see http://en.wikipedia.org/wiki/Hann_function)
to each image to remove possible edge effects. This window is cached until
the array size changes to speed up processing time.
<li> Next it computes the forward DFTs of each source array:
</ul>
<p><em>mathbf(G)_a = mathcal(F)(src_1), mathbf(G)_b = mathcal(F)(src_2)</em></p>
<p>where <em>mathcal(F)</em> is the forward DFT.</p>
<ul>
<li> It then computes the cross-power spectrum of each frequency domain
array:
</ul>
<p><em>R = (mathbf(G)_a mathbf(G)_b^*)/(|mathbf(G)_a mathbf(G)_b^*|)</em></p>
<ul>
<li> Next the cross-correlation is converted back into the time domain via
the inverse DFT:
</ul>
<p><em>r = mathcal(F)^(-1)(R)</em></p>
<ul>
<li> Finally, it computes the peak location and computes a 5x5 weighted
centroid around the peak to achieve sub-pixel accuracy.
</ul>
<p><em>(Delta x, Delta y) = weightedCentroid (arg max_((x, y))(r))</em></p>
<ul>
<li> If non-zero, the response parameter is computed as the sum of the
elements of r within the 5x5 centroid around the peak location. It is
normalized to a maximum of 1 (meaning there is a single peak) and will be
smaller when there are multiple peaks.
</ul>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src1</CODE> - Source floating point array (CV_32FC1 or CV_64FC1)<DD><CODE>src2</CODE> - Source floating point array (CV_32FC1 or CV_64FC1)<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#phasecorrelate">org.opencv.imgproc.Imgproc.phaseCorrelate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)"><CODE>createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#mulSpectrums(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)"><CODE>Core.mulSpectrums(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#getOptimalDFTSize(int)"><CODE>Core.getOptimalDFTSize(int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#idft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.idft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="phaseCorrelate(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
phaseCorrelate</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> <B>phaseCorrelate</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window)</PRE>
<DL>
<DD><p>The function is used to detect translational shifts that occur between two
images. The operation takes advantage of the Fourier shift theorem for
detecting the translational shift in the frequency domain. It can be used for
fast image registration as well as motion estimation. For more information
please see http://en.wikipedia.org/wiki/Phase_correlation.</p>
<p>Calculates the cross-power spectrum of two supplied source arrays. The arrays
are padded if needed with "getOptimalDFTSize".</p>
<p>Return value: detected phase shift (sub-pixel) between the two arrays.</p>
<p>The function performs the following equations</p>
<ul>
<li> First it applies a Hanning window (see http://en.wikipedia.org/wiki/Hann_function)
to each image to remove possible edge effects. This window is cached until
the array size changes to speed up processing time.
<li> Next it computes the forward DFTs of each source array:
</ul>
<p><em>mathbf(G)_a = mathcal(F)(src_1), mathbf(G)_b = mathcal(F)(src_2)</em></p>
<p>where <em>mathcal(F)</em> is the forward DFT.</p>
<ul>
<li> It then computes the cross-power spectrum of each frequency domain
array:
</ul>
<p><em>R = (mathbf(G)_a mathbf(G)_b^*)/(|mathbf(G)_a mathbf(G)_b^*|)</em></p>
<ul>
<li> Next the cross-correlation is converted back into the time domain via
the inverse DFT:
</ul>
<p><em>r = mathcal(F)^(-1)(R)</em></p>
<ul>
<li> Finally, it computes the peak location and computes a 5x5 weighted
centroid around the peak to achieve sub-pixel accuracy.
</ul>
<p><em>(Delta x, Delta y) = weightedCentroid (arg max_((x, y))(r))</em></p>
<ul>
<li> If non-zero, the response parameter is computed as the sum of the
elements of r within the 5x5 centroid around the peak location. It is
normalized to a maximum of 1 (meaning there is a single peak) and will be
smaller when there are multiple peaks.
</ul>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src1</CODE> - Source floating point array (CV_32FC1 or CV_64FC1)<DD><CODE>src2</CODE> - Source floating point array (CV_32FC1 or CV_64FC1)<DD><CODE>window</CODE> - Floating point array with windowing coefficients to reduce edge
effects (optional).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/motion_analysis_and_object_tracking.html#phasecorrelate">org.opencv.imgproc.Imgproc.phaseCorrelate</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)"><CODE>createHanningWindow(org.opencv.core.Mat, org.opencv.core.Size, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.dft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#mulSpectrums(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)"><CODE>Core.mulSpectrums(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, boolean)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#getOptimalDFTSize(int)"><CODE>Core.getOptimalDFTSize(int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#idft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><CODE>Core.idft(org.opencv.core.Mat, org.opencv.core.Mat, int, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="phaseCorrelateRes(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
phaseCorrelateRes</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> <B>phaseCorrelateRes</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="phaseCorrelateRes(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, double[])"><!-- --></A><H3>
phaseCorrelateRes</H3>
<PRE>
public static <A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> <B>phaseCorrelateRes</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> window,
double[] response)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="pointPolygonTest(org.opencv.core.MatOfPoint2f, org.opencv.core.Point, boolean)"><!-- --></A><H3>
pointPolygonTest</H3>
<PRE>
public static double <B>pointPolygonTest</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> contour,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> pt,
boolean measureDist)</PRE>
<DL>
<DD><p>Performs a point-in-contour test.</p>
<p>The function determines whether the point is inside a contour, outside, or
lies on an edge (or coincides with a vertex). It returns positive (inside),
negative (outside), or zero (on an edge) value, correspondingly. When
<code>measureDist=false</code>, the return value is +1, -1, and 0,
respectively. Otherwise, the return value is a signed distance between the
point and the nearest contour edge.</p>
<p>See below a sample output of the function where each image pixel is tested
against the contour.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>contour</CODE> - Input contour.<DD><CODE>pt</CODE> - Point tested against the contour.<DD><CODE>measureDist</CODE> - If true, the function estimates the signed distance from
the point to the nearest contour edge. Otherwise, the function only checks if
the point is inside a contour or not.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/structural_analysis_and_shape_descriptors.html#pointpolygontest">org.opencv.imgproc.Imgproc.pointPolygonTest</a></DL>
</DD>
</DL>
<HR>
<A NAME="preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
preCornerDetect</H3>
<PRE>
public static void <B>preCornerDetect</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize)</PRE>
<DL>
<DD><p>Calculates a feature map for corner detection.</p>
<p>The function calculates the complex spatial derivative-based function of the
source image</p>
<p><em>dst = (D_x src)^2 * D_(yy) src + (D_y src)^2 * D_(xx) src - 2 D_x src *
D_y src * D_(xy) src</em></p>
<p>where <em>D_x</em>,<em>D_y</em> are the first image derivatives,
<em>D_(xx)</em>,<em>D_(yy)</em> are the second image derivatives, and
<em>D_(xy)</em> is the mixed derivative.
The corners can be found as local maximums of the functions, as shown below:
<code></p>
<p>// C++ code:</p>
<p>Mat corners, dilated_corners;</p>
<p>preCornerDetect(image, corners, 3);</p>
<p>// dilation with 3x3 rectangular structuring element</p>
<p>dilate(corners, dilated_corners, Mat(), 1);</p>
<p>Mat corner_mask = corners == dilated_corners;</p>
<p></code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source single-channel 8-bit of floating-point image.<DD><CODE>dst</CODE> - Output image that has the type <code>CV_32F</code> and the same
size as <code>src</code>.<DD><CODE>ksize</CODE> - Aperture size of the "Sobel".<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#precornerdetect">org.opencv.imgproc.Imgproc.preCornerDetect</a></DL>
</DD>
</DL>
<HR>
<A NAME="preCornerDetect(org.opencv.core.Mat, org.opencv.core.Mat, int, int)"><!-- --></A><H3>
preCornerDetect</H3>
<PRE>
public static void <B>preCornerDetect</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ksize,
int borderType)</PRE>
<DL>
<DD><p>Calculates a feature map for corner detection.</p>
<p>The function calculates the complex spatial derivative-based function of the
source image</p>
<p><em>dst = (D_x src)^2 * D_(yy) src + (D_y src)^2 * D_(xx) src - 2 D_x src *
D_y src * D_(xy) src</em></p>
<p>where <em>D_x</em>,<em>D_y</em> are the first image derivatives,
<em>D_(xx)</em>,<em>D_(yy)</em> are the second image derivatives, and
<em>D_(xy)</em> is the mixed derivative.
The corners can be found as local maximums of the functions, as shown below:
<code></p>
<p>// C++ code:</p>
<p>Mat corners, dilated_corners;</p>
<p>preCornerDetect(image, corners, 3);</p>
<p>// dilation with 3x3 rectangular structuring element</p>
<p>dilate(corners, dilated_corners, Mat(), 1);</p>
<p>Mat corner_mask = corners == dilated_corners;</p>
<p></code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source single-channel 8-bit of floating-point image.<DD><CODE>dst</CODE> - Output image that has the type <code>CV_32F</code> and the same
size as <code>src</code>.<DD><CODE>ksize</CODE> - Aperture size of the "Sobel".<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate".<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/feature_detection.html#precornerdetect">org.opencv.imgproc.Imgproc.preCornerDetect</a></DL>
</DD>
</DL>
<HR>
<A NAME="PSNR(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
PSNR</H3>
<PRE>
public static double <B>PSNR</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src2)</PRE>
<DL>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="pyrDown(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
pyrDown</H3>
<PRE>
public static void <B>pyrDown</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Blurs an image and downsamples it.</p>
<p>The function performs the downsampling step of the Gaussian pyramid
construction. First, it convolves the source image with the kernel:</p>
<p><em>1/256 1 4 6 4 1
4 16 24 16 4
6 24 36 24 6
4 16 24 16 4
1 4 6 4 1 </em></p>
<p>Then, it downsamples the image by rejecting even rows and columns.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image; it has the specified size and the same type as
<code>src</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrdown">org.opencv.imgproc.Imgproc.pyrDown</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrDown(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
pyrDown</H3>
<PRE>
public static void <B>pyrDown</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize)</PRE>
<DL>
<DD><p>Blurs an image and downsamples it.</p>
<p>The function performs the downsampling step of the Gaussian pyramid
construction. First, it convolves the source image with the kernel:</p>
<p><em>1/256 1 4 6 4 1
4 16 24 16 4
6 24 36 24 6
4 16 24 16 4
1 4 6 4 1 </em></p>
<p>Then, it downsamples the image by rejecting even rows and columns.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image; it has the specified size and the same type as
<code>src</code>.<DD><CODE>dstsize</CODE> - size of the output image; by default, it is computed as
<code>Size((src.cols+1)/2, (src.rows+1)/2)</code>, but in any case, the
following conditions should be satisfied:
<p><em> ltBR gt| dstsize.width *2-src.cols| <= 2
|dstsize.height *2-src.rows| <= 2 </em></p><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrdown">org.opencv.imgproc.Imgproc.pyrDown</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrDown(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)"><!-- --></A><H3>
pyrDown</H3>
<PRE>
public static void <B>pyrDown</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize,
int borderType)</PRE>
<DL>
<DD><p>Blurs an image and downsamples it.</p>
<p>The function performs the downsampling step of the Gaussian pyramid
construction. First, it convolves the source image with the kernel:</p>
<p><em>1/256 1 4 6 4 1
4 16 24 16 4
6 24 36 24 6
4 16 24 16 4
1 4 6 4 1 </em></p>
<p>Then, it downsamples the image by rejecting even rows and columns.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image; it has the specified size and the same type as
<code>src</code>.<DD><CODE>dstsize</CODE> - size of the output image; by default, it is computed as
<code>Size((src.cols+1)/2, (src.rows+1)/2)</code>, but in any case, the
following conditions should be satisfied:
<p><em> ltBR gt| dstsize.width *2-src.cols| <= 2
|dstsize.height *2-src.rows| <= 2 </em></p><DD><CODE>borderType</CODE> - a borderType<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrdown">org.opencv.imgproc.Imgproc.pyrDown</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrMeanShiftFiltering(org.opencv.core.Mat, org.opencv.core.Mat, double, double)"><!-- --></A><H3>
pyrMeanShiftFiltering</H3>
<PRE>
public static void <B>pyrMeanShiftFiltering</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double sp,
double sr)</PRE>
<DL>
<DD><p>Performs initial step of meanshift segmentation of an image.</p>
<p>The function implements the filtering stage of meanshift segmentation, that
is, the output of the function is the filtered "posterized" image with color
gradients and fine-grain texture flattened. At every pixel <code>(X,Y)</code>
of the input image (or down-sized input image, see below) the function
executes meanshift iterations, that is, the pixel <code>(X,Y)</code>
neighborhood in the joint space-color hyperspace is considered:</p>
<p><em>(x,y): X- sp <= x <= X+ sp, Y- sp <= y <= Y+ sp, ||(R,G,B)-(r,g,b)|| <=
sr</em></p>
<p>where <code>(R,G,B)</code> and <code>(r,g,b)</code> are the vectors of color
components at <code>(X,Y)</code> and <code>(x,y)</code>, respectively
(though, the algorithm does not depend on the color space used, so any
3-component color space can be used instead). Over the neighborhood the
average spatial value <code>(X',Y')</code> and average color vector
<code>(R',G',B')</code> are found and they act as the neighborhood center on
the next iteration:</p>
<p><em>(X,Y)~(X',Y'), (R,G,B)~(R',G',B').</em></p>
<p>After the iterations over, the color components of the initial pixel (that
is, the pixel from where the iterations started) are set to the final value
(average color at the last iteration):</p>
<p><em>I(X,Y) <- (R*,G*,B*)</em></p>
<p>When <code>maxLevel > 0</code>, the gaussian pyramid of <code>maxLevel+1</code>
levels is built, and the above procedure is run on the smallest layer first.
After that, the results are propagated to the larger layer and the iterations
are run again only on those pixels where the layer colors differ by more than
<code>sr</code> from the lower-resolution layer of the pyramid. That makes
boundaries of color regions sharper. Note that the results will be actually
different from the ones obtained by running the meanshift procedure on the
whole original image (i.e. when <code>maxLevel==0</code>).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - The source 8-bit, 3-channel image.<DD><CODE>dst</CODE> - The destination image of the same format and the same size as the
source.<DD><CODE>sp</CODE> - The spatial window radius.<DD><CODE>sr</CODE> - The color window radius.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrmeanshiftfiltering">org.opencv.imgproc.Imgproc.pyrMeanShiftFiltering</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrMeanShiftFiltering(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int, org.opencv.core.TermCriteria)"><!-- --></A><H3>
pyrMeanShiftFiltering</H3>
<PRE>
public static void <B>pyrMeanShiftFiltering</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double sp,
double sr,
int maxLevel,
<A HREF="../../../org/opencv/core/TermCriteria.html" title="class in org.opencv.core">TermCriteria</A> termcrit)</PRE>
<DL>
<DD><p>Performs initial step of meanshift segmentation of an image.</p>
<p>The function implements the filtering stage of meanshift segmentation, that
is, the output of the function is the filtered "posterized" image with color
gradients and fine-grain texture flattened. At every pixel <code>(X,Y)</code>
of the input image (or down-sized input image, see below) the function
executes meanshift iterations, that is, the pixel <code>(X,Y)</code>
neighborhood in the joint space-color hyperspace is considered:</p>
<p><em>(x,y): X- sp <= x <= X+ sp, Y- sp <= y <= Y+ sp, ||(R,G,B)-(r,g,b)|| <=
sr</em></p>
<p>where <code>(R,G,B)</code> and <code>(r,g,b)</code> are the vectors of color
components at <code>(X,Y)</code> and <code>(x,y)</code>, respectively
(though, the algorithm does not depend on the color space used, so any
3-component color space can be used instead). Over the neighborhood the
average spatial value <code>(X',Y')</code> and average color vector
<code>(R',G',B')</code> are found and they act as the neighborhood center on
the next iteration:</p>
<p><em>(X,Y)~(X',Y'), (R,G,B)~(R',G',B').</em></p>
<p>After the iterations over, the color components of the initial pixel (that
is, the pixel from where the iterations started) are set to the final value
(average color at the last iteration):</p>
<p><em>I(X,Y) <- (R*,G*,B*)</em></p>
<p>When <code>maxLevel > 0</code>, the gaussian pyramid of <code>maxLevel+1</code>
levels is built, and the above procedure is run on the smallest layer first.
After that, the results are propagated to the larger layer and the iterations
are run again only on those pixels where the layer colors differ by more than
<code>sr</code> from the lower-resolution layer of the pyramid. That makes
boundaries of color regions sharper. Note that the results will be actually
different from the ones obtained by running the meanshift procedure on the
whole original image (i.e. when <code>maxLevel==0</code>).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - The source 8-bit, 3-channel image.<DD><CODE>dst</CODE> - The destination image of the same format and the same size as the
source.<DD><CODE>sp</CODE> - The spatial window radius.<DD><CODE>sr</CODE> - The color window radius.<DD><CODE>maxLevel</CODE> - Maximum level of the pyramid for the segmentation.<DD><CODE>termcrit</CODE> - Termination criteria: when to stop meanshift iterations.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrmeanshiftfiltering">org.opencv.imgproc.Imgproc.pyrMeanShiftFiltering</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrUp(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
pyrUp</H3>
<PRE>
public static void <B>pyrUp</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst)</PRE>
<DL>
<DD><p>Upsamples an image and then blurs it.</p>
<p>The function performs the upsampling step of the Gaussian pyramid
construction, though it can actually be used to construct the Laplacian
pyramid. First, it upsamples the source image by injecting even zero rows and
columns and then convolves the result with the same kernel as in "pyrDown"
multiplied by 4.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image. It has the specified size and the same type as
<code>src</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrup">org.opencv.imgproc.Imgproc.pyrUp</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrUp(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
pyrUp</H3>
<PRE>
public static void <B>pyrUp</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize)</PRE>
<DL>
<DD><p>Upsamples an image and then blurs it.</p>
<p>The function performs the upsampling step of the Gaussian pyramid
construction, though it can actually be used to construct the Laplacian
pyramid. First, it upsamples the source image by injecting even zero rows and
columns and then convolves the result with the same kernel as in "pyrDown"
multiplied by 4.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image. It has the specified size and the same type as
<code>src</code>.<DD><CODE>dstsize</CODE> - size of the output image; by default, it is computed as
<code>Size(src.cols*2, (src.rows*2)</code>, but in any case, the following
conditions should be satisfied:
<p><em> ltBR gt| dstsize.width -src.cols*2| <= (dstsize.width mod 2)
|dstsize.height -src.rows*2| <= (dstsize.height mod 2) </em></p><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrup">org.opencv.imgproc.Imgproc.pyrUp</a></DL>
</DD>
</DL>
<HR>
<A NAME="pyrUp(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)"><!-- --></A><H3>
pyrUp</H3>
<PRE>
public static void <B>pyrUp</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dstsize,
int borderType)</PRE>
<DL>
<DD><p>Upsamples an image and then blurs it.</p>
<p>The function performs the upsampling step of the Gaussian pyramid
construction, though it can actually be used to construct the Laplacian
pyramid. First, it upsamples the source image by injecting even zero rows and
columns and then convolves the result with the same kernel as in "pyrDown"
multiplied by 4.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image. It has the specified size and the same type as
<code>src</code>.<DD><CODE>dstsize</CODE> - size of the output image; by default, it is computed as
<code>Size(src.cols*2, (src.rows*2)</code>, but in any case, the following
conditions should be satisfied:
<p><em> ltBR gt| dstsize.width -src.cols*2| <= (dstsize.width mod 2)
|dstsize.height -src.rows*2| <= (dstsize.height mod 2) </em></p><DD><CODE>borderType</CODE> - a borderType<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#pyrup">org.opencv.imgproc.Imgproc.pyrUp</a></DL>
</DD>
</DL>
<HR>
<A NAME="remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><!-- --></A><H3>
remap</H3>
<PRE>
public static void <B>remap</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int interpolation)</PRE>
<DL>
<DD><p>Applies a generic geometrical transformation to an image.</p>
<p>The function <code>remap</code> transforms the source image using the
specified map:</p>
<p><em>dst(x,y) = src(map_x(x,y),map_y(x,y))</em></p>
<p>where values of pixels with non-integer coordinates are computed using one of
available interpolation methods.
<em>map_x</em> and <em>map_y</em> can be encoded as separate floating-point
maps in <em>map_1</em> and <em>map_2</em> respectively, or interleaved
floating-point maps of <em>(x,y)</em> in <em>map_1</em>, or fixed-point maps
created by using "convertMaps". The reason you might want to convert from
floating to fixed-point representations of a map is that they can yield much
faster (~2x) remapping operations. In the converted case, <em>map_1</em>
contains pairs <code>(cvFloor(x), cvFloor(y))</code> and <em>map_2</em>
contains indices in a table of interpolation coefficients.</p>
<p>This function cannot operate in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image. It has the same size as <code>map1</code> and
the same type as <code>src</code>.<DD><CODE>map1</CODE> - The first map of either <code>(x,y)</code> points or just
<code>x</code> values having the type <code>CV_16SC2</code>,
<code>CV_32FC1</code>, or <code>CV_32FC2</code>. See "convertMaps" for
details on converting a floating point representation to fixed-point for
speed.<DD><CODE>map2</CODE> - The second map of <code>y</code> values having the type
<code>CV_16UC1</code>, <code>CV_32FC1</code>, or none (empty map if
<code>map1</code> is <code>(x,y)</code> points), respectively.<DD><CODE>interpolation</CODE> - Interpolation method (see "resize"). The method
<code>INTER_AREA</code> is not supported by this function.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#remap">org.opencv.imgproc.Imgproc.remap</a></DL>
</DD>
</DL>
<HR>
<A NAME="remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
remap</H3>
<PRE>
public static void <B>remap</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map1,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> map2,
int interpolation,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Applies a generic geometrical transformation to an image.</p>
<p>The function <code>remap</code> transforms the source image using the
specified map:</p>
<p><em>dst(x,y) = src(map_x(x,y),map_y(x,y))</em></p>
<p>where values of pixels with non-integer coordinates are computed using one of
available interpolation methods.
<em>map_x</em> and <em>map_y</em> can be encoded as separate floating-point
maps in <em>map_1</em> and <em>map_2</em> respectively, or interleaved
floating-point maps of <em>(x,y)</em> in <em>map_1</em>, or fixed-point maps
created by using "convertMaps". The reason you might want to convert from
floating to fixed-point representations of a map is that they can yield much
faster (~2x) remapping operations. In the converted case, <em>map_1</em>
contains pairs <code>(cvFloor(x), cvFloor(y))</code> and <em>map_2</em>
contains indices in a table of interpolation coefficients.</p>
<p>This function cannot operate in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image. It has the same size as <code>map1</code> and
the same type as <code>src</code>.<DD><CODE>map1</CODE> - The first map of either <code>(x,y)</code> points or just
<code>x</code> values having the type <code>CV_16SC2</code>,
<code>CV_32FC1</code>, or <code>CV_32FC2</code>. See "convertMaps" for
details on converting a floating point representation to fixed-point for
speed.<DD><CODE>map2</CODE> - The second map of <code>y</code> values having the type
<code>CV_16UC1</code>, <code>CV_32FC1</code>, or none (empty map if
<code>map1</code> is <code>(x,y)</code> points), respectively.<DD><CODE>interpolation</CODE> - Interpolation method (see "resize"). The method
<code>INTER_AREA</code> is not supported by this function.<DD><CODE>borderMode</CODE> - Pixel extrapolation method (see "borderInterpolate"). When
<code>borderMode=BORDER_TRANSPARENT</code>, it means that the pixels in the
destination image that corresponds to the "outliers" in the source image are
not modified by the function.<DD><CODE>borderValue</CODE> - Value used in case of a constant border. By default, it is
0.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#remap">org.opencv.imgproc.Imgproc.remap</a></DL>
</DD>
</DL>
<HR>
<A NAME="resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
resize</H3>
<PRE>
public static void <B>resize</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</PRE>
<DL>
<DD><p>Resizes an image.</p>
<p>The function <code>resize</code> resizes the image <code>src</code> down to
or up to the specified size.Note that the initial <code>dst</code> type or
size are not taken into account. Instead, the size and type are derived from
the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>.
If you want to resize <code>src</code> so that it fits the pre-created
<code>dst</code>, you may call the function as follows: <code></p>
<p>// C++ code:</p>
<p>// explicitly specify dsize=dst.size(); fx and fy will be computed from that.</p>
<p>resize(src, dst, dst.size(), 0, 0, interpolation);</p>
<p>If you want to decimate the image by factor of 2 in each direction, you can
call the function this way:</p>
<p>// specify fx and fy and let the function compute the destination image size.</p>
<p>resize(src, dst, Size(), 0.5, 0.5, interpolation);</p>
<p>To shrink an image, it will generally look best with CV_INTER_AREA
interpolation, whereas to enlarge an image, it will generally look best with
CV_INTER_CUBIC (slow) or CV_INTER_LINEAR (faster but still looks OK).
</code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image; it has the size <code>dsize</code> (when it is
non-zero) or the size computed from <code>src.size()</code>, <code>fx</code>,
and <code>fy</code>; the type of <code>dst</code> is the same as of
<code>src</code>.<DD><CODE>dsize</CODE> - output image size; if it equals zero, it is computed as:
<p><em>dsize = Size(round(fx*src.cols), round(fy*src.rows))</em></p>
<p>Either <code>dsize</code> or both <code>fx</code> and <code>fy</code> must be
non-zero.</p><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#resize">org.opencv.imgproc.Imgproc.resize</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><!-- --></A><H3>
resize</H3>
<PRE>
public static void <B>resize</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
double fx,
double fy,
int interpolation)</PRE>
<DL>
<DD><p>Resizes an image.</p>
<p>The function <code>resize</code> resizes the image <code>src</code> down to
or up to the specified size.Note that the initial <code>dst</code> type or
size are not taken into account. Instead, the size and type are derived from
the <code>src</code>,<code>dsize</code>,<code>fx</code>, and <code>fy</code>.
If you want to resize <code>src</code> so that it fits the pre-created
<code>dst</code>, you may call the function as follows: <code></p>
<p>// C++ code:</p>
<p>// explicitly specify dsize=dst.size(); fx and fy will be computed from that.</p>
<p>resize(src, dst, dst.size(), 0, 0, interpolation);</p>
<p>If you want to decimate the image by factor of 2 in each direction, you can
call the function this way:</p>
<p>// specify fx and fy and let the function compute the destination image size.</p>
<p>resize(src, dst, Size(), 0.5, 0.5, interpolation);</p>
<p>To shrink an image, it will generally look best with CV_INTER_AREA
interpolation, whereas to enlarge an image, it will generally look best with
CV_INTER_CUBIC (slow) or CV_INTER_LINEAR (faster but still looks OK).
</code></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image; it has the size <code>dsize</code> (when it is
non-zero) or the size computed from <code>src.size()</code>, <code>fx</code>,
and <code>fy</code>; the type of <code>dst</code> is the same as of
<code>src</code>.<DD><CODE>dsize</CODE> - output image size; if it equals zero, it is computed as:
<p><em>dsize = Size(round(fx*src.cols), round(fy*src.rows))</em></p>
<p>Either <code>dsize</code> or both <code>fx</code> and <code>fy</code> must be
non-zero.</p><DD><CODE>fx</CODE> - scale factor along the horizontal axis; when it equals 0, it is
computed as
<p><em>(double)dsize.width/src.cols</em></p><DD><CODE>fy</CODE> - scale factor along the vertical axis; when it equals 0, it is
computed as
<p><em>(double)dsize.height/src.rows</em></p><DD><CODE>interpolation</CODE> - interpolation method:
<ul>
<li> INTER_NEAREST - a nearest-neighbor interpolation
<li> INTER_LINEAR - a bilinear interpolation (used by default)
<li> INTER_AREA - resampling using pixel area relation. It may be a
preferred method for image decimation, as it gives moire'-free results. But
when the image is zoomed, it is similar to the <code>INTER_NEAREST</code>
method.
<li> INTER_CUBIC - a bicubic interpolation over 4x4 pixel neighborhood
<li> INTER_LANCZOS4 - a Lanczos interpolation over 8x8 pixel neighborhood
</ul><DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#resize">org.opencv.imgproc.Imgproc.resize</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
Scharr</H3>
<PRE>
public static void <B>Scharr</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy)</PRE>
<DL>
<DD><p>Calculates the first x- or y- image derivative using Scharr operator.</p>
<p>The function computes the first x- or y- spatial image derivative using the
Scharr operator. The call</p>
<p><em>Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)</em></p>
<p>is equivalent to</p>
<p><em>Sobel(src, dst, ddepth, dx, dy, CV_SCHARR, scale, delta,
borderType).</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth (see "Sobel" for the list of supported
combination of <code>src.depth()</code> and <code>ddepth</code>).<DD><CODE>dx</CODE> - order of the derivative x.<DD><CODE>dy</CODE> - order of the derivative y.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#scharr">org.opencv.imgproc.Imgproc.Scharr</a>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double)"><!-- --></A><H3>
Scharr</H3>
<PRE>
public static void <B>Scharr</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
double scale,
double delta)</PRE>
<DL>
<DD><p>Calculates the first x- or y- image derivative using Scharr operator.</p>
<p>The function computes the first x- or y- spatial image derivative using the
Scharr operator. The call</p>
<p><em>Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)</em></p>
<p>is equivalent to</p>
<p><em>Sobel(src, dst, ddepth, dx, dy, CV_SCHARR, scale, delta,
borderType).</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth (see "Sobel" for the list of supported
combination of <code>src.depth()</code> and <code>ddepth</code>).<DD><CODE>dx</CODE> - order of the derivative x.<DD><CODE>dy</CODE> - order of the derivative y.<DD><CODE>scale</CODE> - optional scale factor for the computed derivative values; by
default, no scaling is applied (see "getDerivKernels" for details).<DD><CODE>delta</CODE> - optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#scharr">org.opencv.imgproc.Imgproc.Scharr</a>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><!-- --></A><H3>
Scharr</H3>
<PRE>
public static void <B>Scharr</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
double scale,
double delta,
int borderType)</PRE>
<DL>
<DD><p>Calculates the first x- or y- image derivative using Scharr operator.</p>
<p>The function computes the first x- or y- spatial image derivative using the
Scharr operator. The call</p>
<p><em>Scharr(src, dst, ddepth, dx, dy, scale, delta, borderType)</em></p>
<p>is equivalent to</p>
<p><em>Sobel(src, dst, ddepth, dx, dy, CV_SCHARR, scale, delta,
borderType).</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth (see "Sobel" for the list of supported
combination of <code>src.depth()</code> and <code>ddepth</code>).<DD><CODE>dx</CODE> - order of the derivative x.<DD><CODE>dy</CODE> - order of the derivative y.<DD><CODE>scale</CODE> - optional scale factor for the computed derivative values; by
default, no scaling is applied (see "getDerivKernels" for details).<DD><CODE>delta</CODE> - optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#scharr">org.opencv.imgproc.Imgproc.Scharr</a>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
sepFilter2D</H3>
<PRE>
public static void <B>sepFilter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY)</PRE>
<DL>
<DD><p>Applies a separable linear filter to an image.</p>
<p>The function applies a separable linear filter to the image. That is, first,
every row of <code>src</code> is filtered with the 1D kernel
<code>kernelX</code>. Then, every column of the result is filtered with the
1D kernel <code>kernelY</code>. The final result shifted by <code>delta</code>
is stored in <code>dst</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Destination image depth. The following combination of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source.</p><DD><CODE>kernelX</CODE> - Coefficients for filtering each row.<DD><CODE>kernelY</CODE> - Coefficients for filtering each column.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sepfilter2d">org.opencv.imgproc.Imgproc.sepFilter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double)"><!-- --></A><H3>
sepFilter2D</H3>
<PRE>
public static void <B>sepFilter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta)</PRE>
<DL>
<DD><p>Applies a separable linear filter to an image.</p>
<p>The function applies a separable linear filter to the image. That is, first,
every row of <code>src</code> is filtered with the 1D kernel
<code>kernelX</code>. Then, every column of the result is filtered with the
1D kernel <code>kernelY</code>. The final result shifted by <code>delta</code>
is stored in <code>dst</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Destination image depth. The following combination of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source.</p><DD><CODE>kernelX</CODE> - Coefficients for filtering each row.<DD><CODE>kernelY</CODE> - Coefficients for filtering each column.<DD><CODE>anchor</CODE> - Anchor position within the kernel. The default value <em>(-1,
1)</em> means that the anchor is at the kernel center.<DD><CODE>delta</CODE> - Value added to the filtered results before storing them.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sepfilter2d">org.opencv.imgproc.Imgproc.sepFilter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><!-- --></A><H3>
sepFilter2D</H3>
<PRE>
public static void <B>sepFilter2D</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelX,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> kernelY,
<A HREF="../../../org/opencv/core/Point.html" title="class in org.opencv.core">Point</A> anchor,
double delta,
int borderType)</PRE>
<DL>
<DD><p>Applies a separable linear filter to an image.</p>
<p>The function applies a separable linear filter to the image. That is, first,
every row of <code>src</code> is filtered with the 1D kernel
<code>kernelX</code>. Then, every column of the result is filtered with the
1D kernel <code>kernelY</code>. The final result shifted by <code>delta</code>
is stored in <code>dst</code>.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Source image.<DD><CODE>dst</CODE> - Destination image of the same size and the same number of channels
as <code>src</code>.<DD><CODE>ddepth</CODE> - Destination image depth. The following combination of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source.</p><DD><CODE>kernelX</CODE> - Coefficients for filtering each row.<DD><CODE>kernelY</CODE> - Coefficients for filtering each column.<DD><CODE>anchor</CODE> - Anchor position within the kernel. The default value <em>(-1,
1)</em> means that the anchor is at the kernel center.<DD><CODE>delta</CODE> - Value added to the filtered results before storing them.<DD><CODE>borderType</CODE> - Pixel extrapolation method. See "borderInterpolate" for
details.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sepfilter2d">org.opencv.imgproc.Imgproc.sepFilter2D</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><CODE>Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)"><CODE>boxFilter(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Size, org.opencv.core.Point, boolean, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)"><CODE>blur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int)"><!-- --></A><H3>
Sobel</H3>
<PRE>
public static void <B>Sobel</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy)</PRE>
<DL>
<DD><p>Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</p>
<p>In all cases except one, the <em>ksize x<BR>ksize</em> separable kernel
is used to calculate the derivative. When <em>ksize = 1</em>, the <em>3 x
1</em> or <em>1 x 3</em> kernel is used (that is, no Gaussian smoothing is
done). <code>ksize = 1</code> can only be used for the first or the second x-
or y- derivatives.</p>
<p>There is also the special value <code>ksize = CV_SCHARR</code> (-1) that
corresponds to the <em>3x3</em> Scharr filter that may give more accurate
results than the <em>3x3</em> Sobel. The Scharr aperture is</p>
<p><em>
|-3 0 3|
|-10 0 10|
|-3 0 3|
</em></p>
<p>for the x-derivative, or transposed for the y-derivative.</p>
<p>The function calculates an image derivative by convolving the image with the
appropriate kernel:</p>
<p><em>dst = (d^(xorder+yorder) src)/(dx^(xorder) dy^(yorder))</em></p>
<p>The Sobel operators combine Gaussian smoothing and differentiation, so the
result is more or less resistant to the noise. Most often, the function is
called with (<code>xorder</code> = 1, <code>yorder</code> = 0,
<code>ksize</code> = 3) or (<code>xorder</code> = 0, <code>yorder</code> = 1,
<code>ksize</code> = 3) to calculate the first x- or y- image derivative. The
first case corresponds to a kernel of:</p>
<p><em>
|-1 0 1|
|-2 0 2|
|-1 0 1|
</em></p>
<p>The second case corresponds to a kernel of:</p>
<p><em>
|-1 -2 -1|
|0 0 0|
|1 2 1|
</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source; in the case of 8-bit input images it will result in truncated
derivatives.</p><DD><CODE>dx</CODE> - a dx<DD><CODE>dy</CODE> - a dy<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sobel">org.opencv.imgproc.Imgproc.Sobel</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)"><CODE>Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double)"><!-- --></A><H3>
Sobel</H3>
<PRE>
public static void <B>Sobel</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta)</PRE>
<DL>
<DD><p>Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</p>
<p>In all cases except one, the <em>ksize x<BR>ksize</em> separable kernel
is used to calculate the derivative. When <em>ksize = 1</em>, the <em>3 x
1</em> or <em>1 x 3</em> kernel is used (that is, no Gaussian smoothing is
done). <code>ksize = 1</code> can only be used for the first or the second x-
or y- derivatives.</p>
<p>There is also the special value <code>ksize = CV_SCHARR</code> (-1) that
corresponds to the <em>3x3</em> Scharr filter that may give more accurate
results than the <em>3x3</em> Sobel. The Scharr aperture is</p>
<p><em>
|-3 0 3|
|-10 0 10|
|-3 0 3|
</em></p>
<p>for the x-derivative, or transposed for the y-derivative.</p>
<p>The function calculates an image derivative by convolving the image with the
appropriate kernel:</p>
<p><em>dst = (d^(xorder+yorder) src)/(dx^(xorder) dy^(yorder))</em></p>
<p>The Sobel operators combine Gaussian smoothing and differentiation, so the
result is more or less resistant to the noise. Most often, the function is
called with (<code>xorder</code> = 1, <code>yorder</code> = 0,
<code>ksize</code> = 3) or (<code>xorder</code> = 0, <code>yorder</code> = 1,
<code>ksize</code> = 3) to calculate the first x- or y- image derivative. The
first case corresponds to a kernel of:</p>
<p><em>
|-1 0 1|
|-2 0 2|
|-1 0 1|
</em></p>
<p>The second case corresponds to a kernel of:</p>
<p><em>
|-1 -2 -1|
|0 0 0|
|1 2 1|
</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source; in the case of 8-bit input images it will result in truncated
derivatives.</p><DD><CODE>dx</CODE> - a dx<DD><CODE>dy</CODE> - a dy<DD><CODE>ksize</CODE> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.<DD><CODE>scale</CODE> - optional scale factor for the computed derivative values; by
default, no scaling is applied (see "getDerivKernels" for details).<DD><CODE>delta</CODE> - optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sobel">org.opencv.imgproc.Imgproc.Sobel</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)"><CODE>Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="Sobel(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, int, double, double, int)"><!-- --></A><H3>
Sobel</H3>
<PRE>
public static void <B>Sobel</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
int ddepth,
int dx,
int dy,
int ksize,
double scale,
double delta,
int borderType)</PRE>
<DL>
<DD><p>Calculates the first, second, third, or mixed image derivatives using an
extended Sobel operator.</p>
<p>In all cases except one, the <em>ksize x<BR>ksize</em> separable kernel
is used to calculate the derivative. When <em>ksize = 1</em>, the <em>3 x
1</em> or <em>1 x 3</em> kernel is used (that is, no Gaussian smoothing is
done). <code>ksize = 1</code> can only be used for the first or the second x-
or y- derivatives.</p>
<p>There is also the special value <code>ksize = CV_SCHARR</code> (-1) that
corresponds to the <em>3x3</em> Scharr filter that may give more accurate
results than the <em>3x3</em> Sobel. The Scharr aperture is</p>
<p><em>
|-3 0 3|
|-10 0 10|
|-3 0 3|
</em></p>
<p>for the x-derivative, or transposed for the y-derivative.</p>
<p>The function calculates an image derivative by convolving the image with the
appropriate kernel:</p>
<p><em>dst = (d^(xorder+yorder) src)/(dx^(xorder) dy^(yorder))</em></p>
<p>The Sobel operators combine Gaussian smoothing and differentiation, so the
result is more or less resistant to the noise. Most often, the function is
called with (<code>xorder</code> = 1, <code>yorder</code> = 0,
<code>ksize</code> = 3) or (<code>xorder</code> = 0, <code>yorder</code> = 1,
<code>ksize</code> = 3) to calculate the first x- or y- image derivative. The
first case corresponds to a kernel of:</p>
<p><em>
|-1 0 1|
|-2 0 2|
|-1 0 1|
</em></p>
<p>The second case corresponds to a kernel of:</p>
<p><em>
|-1 -2 -1|
|0 0 0|
|1 2 1|
</em></p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image of the same size and the same number of channels as
<code>src</code>.<DD><CODE>ddepth</CODE> - output image depth; the following combinations of
<code>src.depth()</code> and <code>ddepth</code> are supported:
<ul>
<li> <code>src.depth()</code> = <code>CV_8U</code>, <code>ddepth</code> =
-1/<code>CV_16S</code>/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_16U</code>/<code>CV_16S</code>,
<code>ddepth</code> = -1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_32F</code>, <code>ddepth</code> =
-1/<code>CV_32F</code>/<code>CV_64F</code>
<li> <code>src.depth()</code> = <code>CV_64F</code>, <code>ddepth</code> =
-1/<code>CV_64F</code>
</ul>
<p>when <code>ddepth=-1</code>, the destination image will have the same depth
as the source; in the case of 8-bit input images it will result in truncated
derivatives.</p><DD><CODE>dx</CODE> - a dx<DD><CODE>dy</CODE> - a dy<DD><CODE>ksize</CODE> - size of the extended Sobel kernel; it must be 1, 3, 5, or 7.<DD><CODE>scale</CODE> - optional scale factor for the computed derivative values; by
default, no scaling is applied (see "getDerivKernels" for details).<DD><CODE>delta</CODE> - optional delta value that is added to the results prior to
storing them in <code>dst</code>.<DD><CODE>borderType</CODE> - pixel extrapolation method (see "borderInterpolate" for
details).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/filtering.html#sobel">org.opencv.imgproc.Imgproc.Sobel</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>GaussianBlur(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)"><CODE>Core.cartToPolar(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, boolean)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>sepFilter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)"><CODE>Laplacian(org.opencv.core.Mat, org.opencv.core.Mat, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)"><CODE>Scharr(org.opencv.core.Mat, org.opencv.core.Mat, int, int, int, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)"><CODE>filter2D(org.opencv.core.Mat, org.opencv.core.Mat, int, org.opencv.core.Mat, org.opencv.core.Point, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="threshold(org.opencv.core.Mat, org.opencv.core.Mat, double, double, int)"><!-- --></A><H3>
threshold</H3>
<PRE>
public static double <B>threshold</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
double thresh,
double maxval,
int type)</PRE>
<DL>
<DD><p>Applies a fixed-level threshold to each array element.</p>
<p>The function applies fixed-level thresholding to a single-channel array. The
function is typically used to get a bi-level (binary) image out of a
grayscale image ("compare" could be also used for this purpose) or for
removing a noise, that is, filtering out pixels with too small or too large
values. There are several types of thresholding supported by the function.
They are determined by <code>type</code> :</p>
<ul>
<li> THRESH_BINARY
</ul>
<p><em>dst(x,y) = maxval if src(x,y) > thresh; 0 otherwise</em></p>
<ul>
<li> THRESH_BINARY_INV
</ul>
<p><em>dst(x,y) = 0 if src(x,y) > thresh; maxval otherwise</em></p>
<ul>
<li> THRESH_TRUNC
</ul>
<p><em>dst(x,y) = threshold if src(x,y) > thresh; src(x,y) otherwise</em></p>
<ul>
<li> THRESH_TOZERO
</ul>
<p><em>dst(x,y) = src(x,y) if src(x,y) > thresh; 0 otherwise</em></p>
<ul>
<li> THRESH_TOZERO_INV
</ul>
<p><em>dst(x,y) = 0 if src(x,y) > thresh; src(x,y) otherwise</em></p>
<p>Also, the special value <code>THRESH_OTSU</code> may be combined with one of
the above values. In this case, the function determines the optimal threshold
value using the Otsu's algorithm and uses it instead of the specified
<code>thresh</code>.
The function returns the computed threshold value.
Currently, the Otsu's method is implemented only for 8-bit images.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input array (single-channel, 8-bit or 32-bit floating point).<DD><CODE>dst</CODE> - output array of the same size and type as <code>src</code>.<DD><CODE>thresh</CODE> - threshold value.<DD><CODE>maxval</CODE> - maximum value to use with the <code>THRESH_BINARY</code> and
<code>THRESH_BINARY_INV</code> thresholding types.<DD><CODE>type</CODE> - thresholding type (see the details below).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#threshold">org.opencv.imgproc.Imgproc.threshold</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)"><CODE>findContours(org.opencv.core.Mat, java.util.List<org.opencv.core.MatOfPoint>, org.opencv.core.Mat, int, int, org.opencv.core.Point)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#max(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.max(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#adaptiveThreshold(org.opencv.core.Mat, org.opencv.core.Mat, double, int, int, int, double)"><CODE>adaptiveThreshold(org.opencv.core.Mat, org.opencv.core.Mat, double, int, int, int, double)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#compare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)"><CODE>Core.compare(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#min(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.min(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
undistort</H3>
<PRE>
public static void <B>undistort</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs)</PRE>
<DL>
<DD><p>Transforms an image to compensate for lens distortion.</p>
<p>The function transforms an image to compensate radial and tangential lens
distortion.</p>
<p>The function is simply a combination of "initUndistortRectifyMap" (with unity
<code>R</code>) and "remap" (with bilinear interpolation). See the former
function for details of the transformation being performed.</p>
<p>Those pixels in the destination image, for which there is no correspondent
pixels in the source image, are filled with zeros (black color).</p>
<p>A particular subset of the source image that will be visible in the corrected
image can be regulated by <code>newCameraMatrix</code>. You can use
"getOptimalNewCameraMatrix" to compute the appropriate <code>newCameraMatrix</code>
depending on your requirements.</p>
<p>The camera matrix and the distortion parameters can be determined using
"calibrateCamera". If the resolution of images is different from the
resolution used at the calibration stage, <em>f_x, f_y, c_x</em> and
<em>c_y</em> need to be scaled accordingly, while the distortion coefficients
remain the same.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input (distorted) image.<DD><CODE>dst</CODE> - Output (corrected) image that has the same size and type as
<code>src</code>.<DD><CODE>cameraMatrix</CODE> - Input camera matrix <em>A =
<p>|f_x 0 c_x|
|0 f_y c_y|
|0 0 1|
</em>.</p><DD><CODE>distCoeffs</CODE> - Input vector of distortion coefficients <em>(k_1, k_2, p_1,
p_2[, k_3[, k_4, k_5, k_6]])</em> of 4, 5, or 8 elements. If the vector is
NULL/empty, the zero distortion coefficients are assumed.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#undistort">org.opencv.imgproc.Imgproc.undistort</a></DL>
</DD>
</DL>
<HR>
<A NAME="undistort(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
undistort</H3>
<PRE>
public static void <B>undistort</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> newCameraMatrix)</PRE>
<DL>
<DD><p>Transforms an image to compensate for lens distortion.</p>
<p>The function transforms an image to compensate radial and tangential lens
distortion.</p>
<p>The function is simply a combination of "initUndistortRectifyMap" (with unity
<code>R</code>) and "remap" (with bilinear interpolation). See the former
function for details of the transformation being performed.</p>
<p>Those pixels in the destination image, for which there is no correspondent
pixels in the source image, are filled with zeros (black color).</p>
<p>A particular subset of the source image that will be visible in the corrected
image can be regulated by <code>newCameraMatrix</code>. You can use
"getOptimalNewCameraMatrix" to compute the appropriate <code>newCameraMatrix</code>
depending on your requirements.</p>
<p>The camera matrix and the distortion parameters can be determined using
"calibrateCamera". If the resolution of images is different from the
resolution used at the calibration stage, <em>f_x, f_y, c_x</em> and
<em>c_y</em> need to be scaled accordingly, while the distortion coefficients
remain the same.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Input (distorted) image.<DD><CODE>dst</CODE> - Output (corrected) image that has the same size and type as
<code>src</code>.<DD><CODE>cameraMatrix</CODE> - Input camera matrix <em>A =
<p>|f_x 0 c_x|
|0 f_y c_y|
|0 0 1|
</em>.</p><DD><CODE>distCoeffs</CODE> - Input vector of distortion coefficients <em>(k_1, k_2, p_1,
p_2[, k_3[, k_4, k_5, k_6]])</em> of 4, 5, or 8 elements. If the vector is
NULL/empty, the zero distortion coefficients are assumed.<DD><CODE>newCameraMatrix</CODE> - Camera matrix of the distorted image. By default, it
is the same as <code>cameraMatrix</code> but you may additionally scale and
shift the result by using a different matrix.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#undistort">org.opencv.imgproc.Imgproc.undistort</a></DL>
</DD>
</DL>
<HR>
<A NAME="undistortPoints(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
undistortPoints</H3>
<PRE>
public static void <B>undistortPoints</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs)</PRE>
<DL>
<DD><p>Computes the ideal point coordinates from the observed point coordinates.</p>
<p>The function is similar to "undistort" and "initUndistortRectifyMap" but it
operates on a sparse set of points instead of a raster image. Also the
function performs a reverse transformation to"projectPoints". In case of a 3D
object, it does not reconstruct its 3D coordinates, but for a planar object,
it does, up to a translation vector, if the proper <code>R</code> is
specified.
<code></p>
<p>// C++ code:</p>
<p>// (u,v) is the input point, (u', v') is the output point</p>
<p>// camera_matrix=[fx 0 cx; 0 fy cy; 0 0 1]</p>
<p>// P=[fx' 0 cx' tx; 0 fy' cy' ty; 0 0 1 tz]</p>
<p>x" = (u - cx)/fx</p>
<p>y" = (v - cy)/fy</p>
<p>(x',y') = undistort(x",y",dist_coeffs)</p>
<p>[X,Y,W]T = R*[x' y' 1]T</p>
<p>x = X/W, y = Y/W</p>
<p>// only performed if P=[fx' 0 cx' [tx]; 0 fy' cy' [ty]; 0 0 1 [tz]] is
specified</p>
<p>u' = x*fx' + cx'</p>
<p>v' = y*fy' + cy',</p>
<p>where <code>undistort()</code> is an approximate iterative algorithm that
estimates the normalized original point coordinates out of the normalized
distorted point coordinates ("normalized" means that the coordinates do not
depend on the camera matrix).
</code></p>
<p>The function can be used for both a stereo camera head or a monocular camera
(when R is empty).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Observed point coordinates, 1xN or Nx1 2-channel (CV_32FC2 or
CV_64FC2).<DD><CODE>dst</CODE> - Output ideal point coordinates after undistortion and reverse
perspective transformation. If matrix <code>P</code> is identity or omitted,
<code>dst</code> will contain normalized point coordinates.<DD><CODE>cameraMatrix</CODE> - Camera matrix <em>
<p>|f_x 0 c_x|
|0 f_y c_y|
|0 0 1|
</em>.</p><DD><CODE>distCoeffs</CODE> - Input vector of distortion coefficients <em>(k_1, k_2, p_1,
p_2[, k_3[, k_4, k_5, k_6]])</em> of 4, 5, or 8 elements. If the vector is
NULL/empty, the zero distortion coefficients are assumed.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#undistortpoints">org.opencv.imgproc.Imgproc.undistortPoints</a></DL>
</DD>
</DL>
<HR>
<A NAME="undistortPoints(org.opencv.core.MatOfPoint2f, org.opencv.core.MatOfPoint2f, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
undistortPoints</H3>
<PRE>
public static void <B>undistortPoints</B>(<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> src,
<A HREF="../../../org/opencv/core/MatOfPoint2f.html" title="class in org.opencv.core">MatOfPoint2f</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> cameraMatrix,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> distCoeffs,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> R,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> P)</PRE>
<DL>
<DD><p>Computes the ideal point coordinates from the observed point coordinates.</p>
<p>The function is similar to "undistort" and "initUndistortRectifyMap" but it
operates on a sparse set of points instead of a raster image. Also the
function performs a reverse transformation to"projectPoints". In case of a 3D
object, it does not reconstruct its 3D coordinates, but for a planar object,
it does, up to a translation vector, if the proper <code>R</code> is
specified.
<code></p>
<p>// C++ code:</p>
<p>// (u,v) is the input point, (u', v') is the output point</p>
<p>// camera_matrix=[fx 0 cx; 0 fy cy; 0 0 1]</p>
<p>// P=[fx' 0 cx' tx; 0 fy' cy' ty; 0 0 1 tz]</p>
<p>x" = (u - cx)/fx</p>
<p>y" = (v - cy)/fy</p>
<p>(x',y') = undistort(x",y",dist_coeffs)</p>
<p>[X,Y,W]T = R*[x' y' 1]T</p>
<p>x = X/W, y = Y/W</p>
<p>// only performed if P=[fx' 0 cx' [tx]; 0 fy' cy' [ty]; 0 0 1 [tz]] is
specified</p>
<p>u' = x*fx' + cx'</p>
<p>v' = y*fy' + cy',</p>
<p>where <code>undistort()</code> is an approximate iterative algorithm that
estimates the normalized original point coordinates out of the normalized
distorted point coordinates ("normalized" means that the coordinates do not
depend on the camera matrix).
</code></p>
<p>The function can be used for both a stereo camera head or a monocular camera
(when R is empty).</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - Observed point coordinates, 1xN or Nx1 2-channel (CV_32FC2 or
CV_64FC2).<DD><CODE>dst</CODE> - Output ideal point coordinates after undistortion and reverse
perspective transformation. If matrix <code>P</code> is identity or omitted,
<code>dst</code> will contain normalized point coordinates.<DD><CODE>cameraMatrix</CODE> - Camera matrix <em>
<p>|f_x 0 c_x|
|0 f_y c_y|
|0 0 1|
</em>.</p><DD><CODE>distCoeffs</CODE> - Input vector of distortion coefficients <em>(k_1, k_2, p_1,
p_2[, k_3[, k_4, k_5, k_6]])</em> of 4, 5, or 8 elements. If the vector is
NULL/empty, the zero distortion coefficients are assumed.<DD><CODE>R</CODE> - Rectification transformation in the object space (3x3 matrix).
<code>R1</code> or <code>R2</code> computed by "stereoRectify" can be passed
here. If the matrix is empty, the identity transformation is used.<DD><CODE>P</CODE> - New camera matrix (3x3) or new projection matrix (3x4).
<code>P1</code> or <code>P2</code> computed by "stereoRectify" can be passed
here. If the matrix is empty, the identity new camera matrix is used.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#undistortpoints">org.opencv.imgproc.Imgproc.undistortPoints</a></DL>
</DD>
</DL>
<HR>
<A NAME="warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
warpAffine</H3>
<PRE>
public static void <B>warpAffine</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</PRE>
<DL>
<DD><p>Applies an affine transformation to an image.</p>
<p>The function <code>warpAffine</code> transforms the source image using the
specified matrix:</p>
<p><em>dst(x,y) = src(M _11 x + M _12 y + M _13, M _21 x + M _22 y + M _23)</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invertAffineTransform" and then put in
the formula above instead of <code>M</code>.
The function cannot operate in-place.</p>
<p>Note: <code>cvGetQuadrangleSubPix</code> is similar to <code>cvWarpAffine</code>,
but the outliers are extrapolated using replication border mode.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>2x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpaffine">org.opencv.imgproc.Imgproc.warpAffine</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)"><!-- --></A><H3>
warpAffine</H3>
<PRE>
public static void <B>warpAffine</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags)</PRE>
<DL>
<DD><p>Applies an affine transformation to an image.</p>
<p>The function <code>warpAffine</code> transforms the source image using the
specified matrix:</p>
<p><em>dst(x,y) = src(M _11 x + M _12 y + M _13, M _21 x + M _22 y + M _23)</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invertAffineTransform" and then put in
the formula above instead of <code>M</code>.
The function cannot operate in-place.</p>
<p>Note: <code>cvGetQuadrangleSubPix</code> is similar to <code>cvWarpAffine</code>,
but the outliers are extrapolated using replication border mode.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>2x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DD><CODE>flags</CODE> - combination of interpolation methods (see "resize") and the
optional flag <code>WARP_INVERSE_MAP</code> that means that <code>M</code> is
the inverse transformation (<em>dst->src</em>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpaffine">org.opencv.imgproc.Imgproc.warpAffine</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
warpAffine</H3>
<PRE>
public static void <B>warpAffine</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Applies an affine transformation to an image.</p>
<p>The function <code>warpAffine</code> transforms the source image using the
specified matrix:</p>
<p><em>dst(x,y) = src(M _11 x + M _12 y + M _13, M _21 x + M _22 y + M _23)</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invertAffineTransform" and then put in
the formula above instead of <code>M</code>.
The function cannot operate in-place.</p>
<p>Note: <code>cvGetQuadrangleSubPix</code> is similar to <code>cvWarpAffine</code>,
but the outliers are extrapolated using replication border mode.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>2x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DD><CODE>flags</CODE> - combination of interpolation methods (see "resize") and the
optional flag <code>WARP_INVERSE_MAP</code> that means that <code>M</code> is
the inverse transformation (<em>dst->src</em>).<DD><CODE>borderMode</CODE> - pixel extrapolation method (see "borderInterpolate"); when
<code>borderMode=BORDER_TRANSPARENT</code>, it means that the pixels in the
destination image corresponding to the "outliers" in the source image are not
modified by the function.<DD><CODE>borderValue</CODE> - value used in case of a constant border; by default, it is
0.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpaffine">org.opencv.imgproc.Imgproc.warpAffine</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.transform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size)"><!-- --></A><H3>
warpPerspective</H3>
<PRE>
public static void <B>warpPerspective</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize)</PRE>
<DL>
<DD><p>Applies a perspective transformation to an image.</p>
<p>The function <code>warpPerspective</code> transforms the source image using
the specified matrix:</p>
<p><em>dst(x,y) = src((M_11 x + M_12 y + M_13)/(M_(31) x + M_32 y +
M_33),<BR>(M_21 x + M_22 y + M_23)/(M_(31) x + M_32 y + M_33))</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invert" and then put in the formula
above instead of <code>M</code>.
The function cannot operate in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>3x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpperspective">org.opencv.imgproc.Imgproc.warpPerspective</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int)"><!-- --></A><H3>
warpPerspective</H3>
<PRE>
public static void <B>warpPerspective</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags)</PRE>
<DL>
<DD><p>Applies a perspective transformation to an image.</p>
<p>The function <code>warpPerspective</code> transforms the source image using
the specified matrix:</p>
<p><em>dst(x,y) = src((M_11 x + M_12 y + M_13)/(M_(31) x + M_32 y +
M_33),<BR>(M_21 x + M_22 y + M_23)/(M_(31) x + M_32 y + M_33))</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invert" and then put in the formula
above instead of <code>M</code>.
The function cannot operate in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>3x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DD><CODE>flags</CODE> - combination of interpolation methods (<code>INTER_LINEAR</code>
or <code>INTER_NEAREST</code>) and the optional flag <code>WARP_INVERSE_MAP</code>,
that sets <code>M</code> as the inverse transformation (<em>dst->src</em>).<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpperspective">org.opencv.imgproc.Imgproc.warpPerspective</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="warpPerspective(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><!-- --></A><H3>
warpPerspective</H3>
<PRE>
public static void <B>warpPerspective</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> src,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> dst,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> M,
<A HREF="../../../org/opencv/core/Size.html" title="class in org.opencv.core">Size</A> dsize,
int flags,
int borderMode,
<A HREF="../../../org/opencv/core/Scalar.html" title="class in org.opencv.core">Scalar</A> borderValue)</PRE>
<DL>
<DD><p>Applies a perspective transformation to an image.</p>
<p>The function <code>warpPerspective</code> transforms the source image using
the specified matrix:</p>
<p><em>dst(x,y) = src((M_11 x + M_12 y + M_13)/(M_(31) x + M_32 y +
M_33),<BR>(M_21 x + M_22 y + M_23)/(M_(31) x + M_32 y + M_33))</em></p>
<p>when the flag <code>WARP_INVERSE_MAP</code> is set. Otherwise, the
transformation is first inverted with "invert" and then put in the formula
above instead of <code>M</code>.
The function cannot operate in-place.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>src</CODE> - input image.<DD><CODE>dst</CODE> - output image that has the size <code>dsize</code> and the same
type as <code>src</code>.<DD><CODE>M</CODE> - <em>3x 3</em> transformation matrix.<DD><CODE>dsize</CODE> - size of the output image.<DD><CODE>flags</CODE> - combination of interpolation methods (<code>INTER_LINEAR</code>
or <code>INTER_NEAREST</code>) and the optional flag <code>WARP_INVERSE_MAP</code>,
that sets <code>M</code> as the inverse transformation (<em>dst->src</em>).<DD><CODE>borderMode</CODE> - pixel extrapolation method (<code>BORDER_CONSTANT</code> or
<code>BORDER_REPLICATE</code>).<DD><CODE>borderValue</CODE> - value used in case of a constant border; by default, it
equals 0.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#warpperspective">org.opencv.imgproc.Imgproc.warpPerspective</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)"><CODE>warpAffine(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)"><CODE>remap(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat, int, int, org.opencv.core.Scalar)</CODE></A>,
<A HREF="../../../org/opencv/core/Core.html#perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)"><CODE>Core.perspectiveTransform(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Mat)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)"><CODE>getRectSubPix(org.opencv.core.Mat, org.opencv.core.Size, org.opencv.core.Point, org.opencv.core.Mat, int)</CODE></A>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)"><CODE>resize(org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.Size, double, double, int)</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="watershed(org.opencv.core.Mat, org.opencv.core.Mat)"><!-- --></A><H3>
watershed</H3>
<PRE>
public static void <B>watershed</B>(<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> image,
<A HREF="../../../org/opencv/core/Mat.html" title="class in org.opencv.core">Mat</A> markers)</PRE>
<DL>
<DD><p>Performs a marker-based image segmentation using the watershed algorithm.</p>
<p>The function implements one of the variants of watershed, non-parametric
marker-based segmentation algorithm, described in [Meyer92].</p>
<p>Before passing the image to the function, you have to roughly outline the
desired regions in the image <code>markers</code> with positive
(<code>>0</code>) indices. So, every region is represented as one or more
connected components with the pixel values 1, 2, 3, and so on. Such markers
can be retrieved from a binary mask using "findContours" and "drawContours"
(see the <code>watershed.cpp</code> demo). The markers are "seeds" of the
future image regions. All the other pixels in <code>markers</code>, whose
relation to the outlined regions is not known and should be defined by the
algorithm, should be set to 0's. In the function output, each pixel in
markers is set to a value of the "seed" components or to -1 at boundaries
between the regions.</p>
<p>Visual demonstration and usage example of the function can be found in the
OpenCV samples directory (see the <code>watershed.cpp</code> demo).</p>
<p>Note: Any two neighbor connected components are not necessarily separated by
a watershed boundary (-1's pixels); for example, they can touch each other in
the initial marker image passed to the function.</p>
<P>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>image</CODE> - Input 8-bit 3-channel image.<DD><CODE>markers</CODE> - Input/output 32-bit single-channel image (map) of markers. It
should have the same size as <code>image</code>.<DT><B>See Also:</B><DD><a href="http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#watershed">org.opencv.imgproc.Imgproc.watershed</a>,
<A HREF="../../../org/opencv/imgproc/Imgproc.html#findContours(org.opencv.core.Mat, java.util.List, org.opencv.core.Mat, int, int, org.opencv.core.Point)"><CODE>findContours(org.opencv.core.Mat, java.util.List<org.opencv.core.MatOfPoint>, org.opencv.core.Mat, int, int, org.opencv.core.Point)</CODE></A></DL>
</DD>
</DL>
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<h2 title="Uses of Interface io.permazen.Session.RetryableAction" class="title">Uses of Interface<br>io.permazen.Session.RetryableAction</h2>
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<caption><span>Packages that use <a href="../../../io/permazen/Session.RetryableAction.html" title="interface in io.permazen">Session.RetryableAction</a></span><span class="tabEnd"> </span></caption>
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<th class="colFirst" scope="col">Package</th>
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<center>
<a href="text0.html">First page</a> <a href="text24.html">Back</a> <a href="text26.html">Continue</a> <a href="text68.html">Last page</a> <a href="WASM.htm">Overview</a> <a href="img25.html">Image</a></center><br>
<h1></h1>
<p>WASM – Exports</p>
<p><font color="#EEEEEE">(module</font></p>
<p><font color="#EEEEEE"> (type $0 (func (result i32)))</font></p>
<p><font color="#EEEEEE"> (func $main (type $0)</font></p>
<p><font color="#EEEEEE"> (i32.const 0)</font></p>
<p><font color="#EEEEEE"> )</font></p>
<p> <font color="#ACB20C">(</font><font color="#FF4000">export</font> <font color="#00A933">"main"</font> <font color="#ED4C05">(</font><font color="#2A6099">func</font> <font color="#FF8000">$main</font><font color="#650953">)</font><font color="#1E6A39">)</font></p>
<p><font color="#EEEEEE">)</font></p>
<p><font color="#EEEEEE">...</font></p>
<p><font color="#EEEEEE">; section "Function" (3)</font></p>
<p><font color="#EEEEEE">000000f: 03 ; section code</font></p>
<p><font color="#EEEEEE">0000010: 00 ; section size (guess)</font></p>
<p><font color="#EEEEEE">0000011: 01 ; num functions</font></p>
<p><font color="#EEEEEE">0000012: 00 ; function 0 signature index</font></p>
<p><font color="#EEEEEE">0000010: 02 ; FIXUP section size</font></p>
<p>; section "Export" (7)</p>
<p>0000013: 07 ; section code</p>
<p>0000014: 00 ; section size (guess)</p>
<p>0000015: 01 ; num exports</p>
<p><font color="#00A933">0000016: 04 ; string length</font></p>
<p><font color="#00A933">0000017: 6d61 696e main ; export name</font></p>
<p><font color="#2A6099">000001b: 00 ; export kind</font></p>
<p><font color="#FF8000">000001c: 00 ; export func index</font></p>
<p><font color="#EEEEEE">0000014: 08 ; FIXUP section size</font></p>
<p><font color="#EEEEEE">; section "Code" (10)</font></p>
<p><font color="#EEEEEE">000001d: 0a ; section code</font></p>
<p><font color="#EEEEEE">000001e: 00 ; section size (guess)</font></p>
<p><font color="#EEEEEE">000001f: 01 ; num functions</font></p>
<p><font color="#EEEEEE">; function body 0</font></p>
<p><font color="#EEEEEE">0000020: 00 ; func body size (guess)</font></p>
<p><font color="#EEEEEE">0000021: 00 ; local decl count</font></p>
<p><font color="#EEEEEE">0000022: 41 ; i32.const</font></p>
<p><font color="#EEEEEE">0000023: 00 ; i32 literal</font></p>
<p><font color="#EEEEEE">0000024: 0b ; end</font></p>
<p><font color="#EEEEEE">0000020: 04 ; FIXUP func body size</font></p>
<p><font color="#EEEEEE">000001e: 06 ; FIXUP section size</font></p>
<p><font color="#EEEEEE">...</font></p>
<p>It decodes into a vector of exports that represent the exports component of a module.</p>
<p>Export = <font color="#ACB20C">‘(’ </font><font color="#FF0000">‘export’ </font><font color="#00A933">name exported </font><font color="#1E6A39">‘)’</font></p>
<p><font color="#1E6A39">Exported = </font><font color="#BE480A">‘(’ </font><font color="#2A6099">‘func’ </font><font color="#FF8000">funcid </font><font color="#650953">‘)’</font></p>
<p><font color="#650953"></font></p>
<p><font color="#650953">https://webassembly.github.io/spec/core/text/modules.html#exports</font></p>
<p>4.</p>
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<h1>Return the number of columns present in x.</h1>
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<p>Return the number of columns present in x.</p>
<pre class="usage"><span class='fu'>h2o.ncol</span>(<span class='no'>x</span>)</pre>
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<p><code><a href='http://www.rdocumentation.org/packages/base/topics/nrow'>ncol</a></code> for the base R implementation.</p>
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<article class="content wrap" id="_content" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler">
<h1 id="Sensus_iOS_Callbacks_iOSCallbackScheduler" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler" class="text-break">Class iOSCallbackScheduler
</h1>
<div class="markdown level0 summary"></div>
<div class="markdown level0 conceptual"></div>
<div class="inheritance">
<h5>Inheritance</h5>
<div class="level0"><span class="xref">System.Object</span></div>
<div class="level1"><a class="xref" href="Sensus.Callbacks.CallbackScheduler.html">CallbackScheduler</a></div>
<div class="level2"><span class="xref">iOSCallbackScheduler</span></div>
<div class="level3"><a class="xref" href="Sensus.iOS.Callbacks.UILocalNotifications.UILocalNotificationCallbackScheduler.html">UILocalNotificationCallbackScheduler</a></div>
<div class="level3"><a class="xref" href="Sensus.iOS.Callbacks.UNUserNotifications.UNUserNotificationCallbackScheduler.html">UNUserNotificationCallbackScheduler</a></div>
</div>
<div classs="implements">
<h5>Implements</h5>
<div><a class="xref" href="Sensus.iOS.Callbacks.IiOSCallbackScheduler.html">IiOSCallbackScheduler</a></div>
<div><a class="xref" href="Sensus.Callbacks.ICallbackScheduler.html">ICallbackScheduler</a></div>
</div>
<div class="inheritedMembers">
<h5>Inherited Members</h5>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_SENSUS_CALLBACK_KEY">CallbackScheduler.SENSUS_CALLBACK_KEY</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_ScheduleCallbackPlatformSpecific_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.ScheduleCallbackPlatformSpecific(ScheduledCallback)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_UnscheduleCallbackPlatformSpecific_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.UnscheduleCallbackPlatformSpecific(ScheduledCallback)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_ScheduleCallback_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.ScheduleCallback(ScheduledCallback)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_ContainsCallback_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.ContainsCallback(ScheduledCallback)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_TryGetCallback_System_String_">CallbackScheduler.TryGetCallback(String)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_RaiseCallbackAsync_Sensus_Callbacks_ScheduledCallback_System_Boolean_System_Action_System_Action_">CallbackScheduler.RaiseCallbackAsync(ScheduledCallback, Boolean, Action, Action)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_TestHealth">CallbackScheduler.TestHealth()</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_CancelRaisedCallback_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.CancelRaisedCallback(ScheduledCallback)</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.CallbackScheduler.html#Sensus_Callbacks_CallbackScheduler_UnscheduleCallback_Sensus_Callbacks_ScheduledCallback_">CallbackScheduler.UnscheduleCallback(ScheduledCallback)</a>
</div>
</div>
<h6><strong>Namespace</strong>: <a class="xref" href="Sensus.iOS.Callbacks.html">Sensus.iOS.Callbacks</a></h6>
<h6><strong>Assembly</strong>: SensusiOS.dll</h6>
<h5 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_syntax">Syntax</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public abstract class iOSCallbackScheduler : CallbackScheduler, IiOSCallbackScheduler, ICallbackScheduler</code></pre>
</div>
<h3 id="constructors">Constructors
</h3>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler__ctor_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.#ctor*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler__ctor" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.#ctor">iOSCallbackScheduler()</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">protected iOSCallbackScheduler()</code></pre>
</div>
<h3 id="fields">Fields
</h3>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_CALLBACK_NOTIFICATION_HORIZON_THRESHOLD" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.CALLBACK_NOTIFICATION_HORIZON_THRESHOLD">CALLBACK_NOTIFICATION_HORIZON_THRESHOLD</h4>
<div class="markdown level1 summary"><p>The callback notification horizon threshold. When using notifications to schedule the timing of
callbacks, we must decide when the delay of a callback execution necessitates a notification
rather than executing immediately. This is in part a practical question, in that executing a
callback immediately rather than using a notification can improve performance -- imagine the
app coming to the foreground and executing the callback right away versus deferring it to a
future notification. This is also an iOS API consideration, as the iOS system will not schedule
a notification if its fire date is in the past by the time it gets around to doing the scheduling.</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public static readonly TimeSpan CALLBACK_NOTIFICATION_HORIZON_THRESHOLD</code></pre>
</div>
<h5 class="fieldValue">Field Value</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.TimeSpan</span></td>
<td></td>
</tr>
</tbody>
</table>
<h3 id="properties">Properties
</h3>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_CallbackIds_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.CallbackIds*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_CallbackIds" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.CallbackIds">CallbackIds</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public abstract List<string> CallbackIds { get; }</code></pre>
</div>
<h5 class="propertyValue">Property Value</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Collections.Generic.List</span><<span class="xref">System.String</span>></td>
<td></td>
</tr>
</tbody>
</table>
<h3 id="methods">Methods
</h3>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_CancelSilentNotifications_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.CancelSilentNotifications*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_CancelSilentNotifications" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.CancelSilentNotifications">CancelSilentNotifications()</h4>
<div class="markdown level1 summary"><p>Cancels the silent notifications (e.g., those for health test) when the app is going into the background.</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public abstract void CancelSilentNotifications()</code></pre>
</div>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_GetCallbackInfo_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.GetCallbackInfo*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_GetCallbackInfo_Sensus_Callbacks_ScheduledCallback_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.GetCallbackInfo(Sensus.Callbacks.ScheduledCallback)">GetCallbackInfo(ScheduledCallback)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public NSMutableDictionary GetCallbackInfo(ScheduledCallback callback)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Sensus.Callbacks.ScheduledCallback.html">ScheduledCallback</a></td>
<td><span class="parametername">callback</span></td>
<td></td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Foundation.NSMutableDictionary</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_IsCallback_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.IsCallback*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_IsCallback_Foundation_NSDictionary_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.IsCallback(Foundation.NSDictionary)">IsCallback(NSDictionary)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public bool IsCallback(NSDictionary callbackInfo)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Foundation.NSDictionary</span></td>
<td><span class="parametername">callbackInfo</span></td>
<td></td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Boolean</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_OpenDisplayPage_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.OpenDisplayPage*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_OpenDisplayPage_Foundation_NSDictionary_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.OpenDisplayPage(Foundation.NSDictionary)">OpenDisplayPage(NSDictionary)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public void OpenDisplayPage(NSDictionary notificationInfo)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Foundation.NSDictionary</span></td>
<td><span class="parametername">notificationInfo</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ReissueSilentNotification_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ReissueSilentNotification*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ReissueSilentNotification_System_String_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ReissueSilentNotification(System.String)">ReissueSilentNotification(String)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">protected abstract void ReissueSilentNotification(string id)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.String</span></td>
<td><span class="parametername">id</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ServiceCallbackAsync_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ServiceCallbackAsync*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ServiceCallbackAsync_Foundation_NSDictionary_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ServiceCallbackAsync(Foundation.NSDictionary)">ServiceCallbackAsync(NSDictionary)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public Task ServiceCallbackAsync(NSDictionary callbackInfo)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Foundation.NSDictionary</span></td>
<td><span class="parametername">callbackInfo</span></td>
<td></td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Threading.Tasks.Task</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ServiceCallbackAsync_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ServiceCallbackAsync*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_ServiceCallbackAsync_Sensus_Callbacks_ScheduledCallback_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.ServiceCallbackAsync(Sensus.Callbacks.ScheduledCallback)">ServiceCallbackAsync(ScheduledCallback)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public Task ServiceCallbackAsync(ScheduledCallback callback)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Sensus.Callbacks.ScheduledCallback.html">ScheduledCallback</a></td>
<td><span class="parametername">callback</span></td>
<td></td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Threading.Tasks.Task</span></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_TryGetCallback_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.TryGetCallback*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_TryGetCallback_Foundation_NSDictionary_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.TryGetCallback(Foundation.NSDictionary)">TryGetCallback(NSDictionary)</h4>
<div class="markdown level1 summary"></div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public ScheduledCallback TryGetCallback(NSDictionary callbackInfo)</code></pre>
</div>
<h5 class="parameters">Parameters</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Name</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">Foundation.NSDictionary</span></td>
<td><span class="parametername">callbackInfo</span></td>
<td></td>
</tr>
</tbody>
</table>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><a class="xref" href="Sensus.Callbacks.ScheduledCallback.html">ScheduledCallback</a></td>
<td></td>
</tr>
</tbody>
</table>
<a id="Sensus_iOS_Callbacks_iOSCallbackScheduler_UpdateCallbacksAsync_" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.UpdateCallbacksAsync*"></a>
<h4 id="Sensus_iOS_Callbacks_iOSCallbackScheduler_UpdateCallbacksAsync" data-uid="Sensus.iOS.Callbacks.iOSCallbackScheduler.UpdateCallbacksAsync">UpdateCallbacksAsync()</h4>
<div class="markdown level1 summary"><p>Updates the callbacks by running any that should have already been serviced or will be serviced in the near future.
Also reissues all silent notifications, which would have been canceled when the app went into the background.</p>
</div>
<div class="markdown level1 conceptual"></div>
<h5 class="decalaration">Declaration</h5>
<div class="codewrapper">
<pre><code class="lang-csharp hljs">public Task UpdateCallbacksAsync()</code></pre>
</div>
<h5 class="returns">Returns</h5>
<table class="table table-bordered table-striped table-condensed">
<thead>
<tr>
<th>Type</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr>
<td><span class="xref">System.Threading.Tasks.Task</span></td>
<td><p>Async task.</p>
</td>
</tr>
</tbody>
</table>
<h3 id="implements">Implements</h3>
<div>
<a class="xref" href="Sensus.iOS.Callbacks.IiOSCallbackScheduler.html">IiOSCallbackScheduler</a>
</div>
<div>
<a class="xref" href="Sensus.Callbacks.ICallbackScheduler.html">ICallbackScheduler</a>
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<H1>DOM XSS Active Scan Rule - About</H1>
<H2>Source Code</H2>
<a href="https://github.com/zaproxy/zap-extensions/tree/master/addOns/domxss">https://github.com/zaproxy/zap-extensions/tree/master/addOns/domxss</a>
<H2>Authors</H2>
Aabha Biyani, and the ZAP Dev Team
<H2>History</H2>
<H3>Version 9 - 2019-06-12</H3>
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<li>Use default browser when no browser is specified in the configuration rule.</li>
</ul>
<H3>Version 8 - 2019-06-07</H3>
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<h2 title="Annotation Type NoMigration" class="title">Annotation Type NoMigration</h2>
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<pre><a href="http://docs.oracle.com/javase/7/docs/api/java/lang/annotation/Target.html?is-external=true" title="class or interface in java.lang.annotation">@Target</a>(<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/annotation/Target.html?is-external=true#value()" title="class or interface in java.lang.annotation">value</a>=<a href="http://docs.oracle.com/javase/7/docs/api/java/lang/annotation/ElementType.html?is-external=true#TYPE" title="class or interface in java.lang.annotation">TYPE</a>)
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public @interface <span class="strong">NoMigration</span></pre>
<div class="block">Classes annotated with <a href="../../../../../../../at/ac/tuwien/infosys/jcloudscale/migration/annotations/NoMigration.html" title="annotation in at.ac.tuwien.infosys.jcloudscale.migration.annotations"><code>NoMigration</code></a> are (by default) excluded from
automatic migrations. If the user wants to migrate such an object she has to
explicitly call an appropriate migration method using the <a href="../../../../../../../at/ac/tuwien/infosys/jcloudscale/annotations/CloudObject.html" title="annotation in at.ac.tuwien.infosys.jcloudscale.annotations"><code>CloudObject</code></a>
's id as parameter.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><code>MigrationConfiguration</code></dd></dl>
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| xLeitix/jcloudscale | docs/javadoc/apidocs/at/ac/tuwien/infosys/jcloudscale/migration/annotations/NoMigration.html | HTML | apache-2.0 | 7,677 |
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<h2 title="Class DefaultMessageCallbackHandler" class="title">Class DefaultMessageCallbackHandler</h2>
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<li>java.lang.Object</li>
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<pre>public class <span class="typeNameLabel">DefaultMessageCallbackHandler</span>
extends java.lang.Object
implements <a href="../../../../../../org/dsngroup/broke/client/handler/callback/IMessageCallbackHandler.html" title="interface in org.dsngroup.broke.client.handler.callback">IMessageCallbackHandler</a></pre>
<div class="block">Default message callback handler.
Default behaviors of messageArrive() and connectionLost().</div>
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<td class="colFirst"><code>private static org.slf4j.Logger</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/dsngroup/broke/client/handler/callback/DefaultMessageCallbackHandler.html#logger">logger</a></span></code> </td>
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<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/dsngroup/broke/client/handler/callback/DefaultMessageCallbackHandler.html#connectionLost-java.lang.Throwable-">connectionLost</a></span>(java.lang.Throwable cause)</code>
<div class="block">Log the connection lost error message.</div>
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<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/dsngroup/broke/client/handler/callback/DefaultMessageCallbackHandler.html#messageArrive-io.netty.buffer.ByteBuf-">messageArrive</a></span>(io.netty.buffer.ByteBuf payload)</code>
<div class="block">Print the publish message.</div>
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<pre>private static final org.slf4j.Logger logger</pre>
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<pre>public DefaultMessageCallbackHandler()</pre>
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<pre>public void messageArrive(io.netty.buffer.ByteBuf payload)</pre>
<div class="block">Print the publish message.</div>
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<dd><code><a href="../../../../../../org/dsngroup/broke/client/handler/callback/IMessageCallbackHandler.html#messageArrive-io.netty.buffer.ByteBuf-">messageArrive</a></code> in interface <code><a href="../../../../../../org/dsngroup/broke/client/handler/callback/IMessageCallbackHandler.html" title="interface in org.dsngroup.broke.client.handler.callback">IMessageCallbackHandler</a></code></dd>
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<dd><code>payload</code> - The payload of the incoming publish message.</dd>
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<pre>public void connectionLost(java.lang.Throwable cause)</pre>
<div class="block">Log the connection lost error message.</div>
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<dd><code><a href="../../../../../../org/dsngroup/broke/client/handler/callback/IMessageCallbackHandler.html#connectionLost-java.lang.Throwable-">connectionLost</a></code> in interface <code><a href="../../../../../../org/dsngroup/broke/client/handler/callback/IMessageCallbackHandler.html" title="interface in org.dsngroup.broke.client.handler.callback">IMessageCallbackHandler</a></code></dd>
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In no event shall Mahalakshmi Traders or its suppliers be liable for any damages (including, without limitation, damages for loss of data or profit, or due to business interruption,) arising out of the use or inability to use the materials on Mahalakshmi Traders's Internet site, even if Mahalakshmi Traders or a Mahalakshmi Traders authorized representative has been notified orally or in writing of the possibility of such damage. Because some jurisdictions do not allow limitations on implied warranties, or limitations of liability for consequential or incidental damages, these limitations may not apply to you. <br/><br/>
5. Revisions and Errata
The materials appearing on Mahalakshmi Traders's web site could include technical, typographical, or photographic errors. Mahalakshmi Traders does not warrant that any of the materials on its web site are accurate, complete, or current. Mahalakshmi Traders may make changes to the materials contained on its web site at any time without notice. Mahalakshmi Traders does not, however, make any commitment to update the materials. <br/><br/>
6. Links
Mahalakshmi Traders has not reviewed all of the sites linked to its Internet web site and is not responsible for the contents of any such linked site. The inclusion of any link does not imply endorsement by Mahalakshmi Traders of the site. Use of any such linked web site is at the user's own risk. <br/><br/>
7. Site Terms of Use Modifications
Mahalakshmi Traders may revise these terms of use for its web site at any time without notice. By using this web site you are agreeing to be bound by the then current version of these Terms and Conditions of Use. <br/><br/>
8. Governing Law
Any claim relating to Mahalakshmi Traders's web site shall be governed by the laws of the State of Maharashtra without regard to its conflict of law provisions.
<br/><br/>
Privacy :<br/><br/>
General Terms and Conditions applicable to Use of a Web Site.
Your privacy is very important to us. Accordingly, we have developed this Policy in order for you to understand how we collect, use, communicate and disclose and make use of personal information. The following outlines our privacy policy. <br/><br/>
Before or at the time of collecting personal information, we will identify the purposes for which information is being collected.
We will collect and use of personal information solely with the objective of fulfilling those purposes specified by us and for other compatible purposes, unless we obtain the consent of the individual concerned or as required by law. <br/><br/>
We will only retain personal information as long as necessary for the fulfillment of those purposes.
We will collect personal information by lawful and fair means and, where appropriate, with the knowledge or consent of the individual concerned.
Personal data should be relevant to the purposes for which it is to be used, and, to the extent necessary for those purposes, should be accurate, complete, and up-to-date. <br/><br/>
We will protect personal information by reasonable security safeguards against loss or theft, as well as unauthorized access, disclosure, copying, use or modification.
We will make readily available to customers information about our policies and practices relating to the management of personal information.
We are committed to conducting our business in accordance with these principles in order to ensure that the confidentiality of personal information is protected and maintained.
</p>
</div>
</article>
</article> | mahalakshmitraders/mahalakshmitraders.github.io | privacy.html | HTML | apache-2.0 | 5,950 |
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| jasonwee/videoOnCloud | pmd/pmd-doc-5.5.1/apidocs/net/sourceforge/pmd/lang/ruby/class-use/RubyLanguageModule.html | HTML | apache-2.0 | 4,785 |
<!DOCTYPE html>
<html lang="zh" xmlns:th="http://www.thymeleaf.org" th:fragment="sign(title, content)">
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| sidneyhang/Java-oa | src/main/webapp/WEB-INF/views/layout/sign_layout.html | HTML | apache-2.0 | 1,425 |
<html>
<body><table> <tr> <td valign="top" height="150">
<font face="verdana" size="-1">This inspection reports any instances of <b><font color="#000080">public</font></b> instance variables.
Constants (i.e. variables marked <b><font color="#000080">static</font></b> and <b><font color="#000080">final</font></b>) are not reported.
</font></td> </tr> <tr> <td height="20"> <font face="verdana" size="-2">Powered by InspectionGadgets </font> </td> </tr> </table> </body>
</html> | jexp/idea2 | plugins/InspectionGadgets/src/inspectionDescriptions/PublicField.html | HTML | apache-2.0 | 478 |
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| Aarhus-BSS/Aarhus-Research-Rebuilt | lib/poi-3.16-beta1/docs/apidocs/org/apache/poi/xslf/usermodel/class-use/XSLFImageRenderer.html | HTML | apache-2.0 | 4,378 |
<div class= "container">
<div class= "col-xs-3"></div>
<div class= "col-xs-3">
<select id="orderBy" data-ng-model="orderBy" class="form-control col-md-4">
<option value="" selected>Sort by Price</option>
<option value="price-low-high">Price: low - high</option>
<option value="price-high-low">Price: high - low</option>
</select>
</div>
</div>
<div class= "container" data-ng-click="getBookInfo(book.bookId)">
<div class= "col-xs-3">
<div class="checkbox">
<label><input type="checkbox" value="">Mystery</label>
</div>
<div class="checkbox">
<label><input type="checkbox" value="">Fiction</label>
</div>
<div class="checkbox disabled">
<label><input type="checkbox" value="" disabled>Thriller</label>
</div>
</div>
<div class= "col-xs-9">
<div data-ng-repeat="book in (filteredItems =(books | filter:filterPrice) )|orderBy:[orderByPrice]" class="col-md-4">
<h4><strong>{{book.bookName}}</strong></h4>
<img data-ng-src="{{book.bookImage}}" alt="book.bookName" class="img-rounded" height="150px" width="150px">
<p > {{book.bookAuthor}}</p>
<span >Genre: </span>
<span data-ng-repeat="genre in book.genre"> {{genre}}</span>
<!-- <p data-ng-show="book.series"> Series: {{book.series}}</p> -->
<!-- <p > {{book.pubDate | date}}</p> -->
<p style="color: red"> {{book.price | currency}}</p>
</div>
</div>
</div>
| RamuIMC/AWSMavenGitProject | src/main/webapp/resources/templates/home.html | HTML | apache-2.0 | 1,317 |
<!DOCTYPE html>
<html>
<head>
<base href="http://fushenghua.github.io/GetHosp">
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<a href="#" class="menu-icon">
<svg version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
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<path fill="#505050" d="M18,1.484c0,0.82-0.665,1.484-1.484,1.484H1.484C0.665,2.969,0,2.304,0,1.484l0,0C0,0.665,0.665,0,1.484,0
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<h1>广东福康医院</h1>
<p class="meta">May 3, 2016</p>
</header>
<article class="post-content">
<p>广东福康医院</p>
<p>信息</p>
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</html> | fushenghua/GetHosp | _site/其他/2016/05/03/广东福康医院/index.html | HTML | apache-2.0 | 4,284 |
<!DOCTYPE html>
<html>
<head>
<meta charset="ISO-8859-1">
<title>Form</title>
</head>
<body>
<h1 align="center">Beer Selection Page</h1>
<form action="Selection" method="get">
<P>select Beer Characteristics<br/>
Color:<br/> <select name="color" size="1">
<option value="light">light</option>
<option value="amber">amber</option>
<option value="brown">brown</option>
<option value="dark">dark</option>
</select><br/>
<br/>
<p align="center"><input type="submit" value="click"></P>
</form>
</body>
</html> | BlueMapleTech/AppleGroup-Santhosh-Java-JSE- | Example4/WebContent/index.html | HTML | apache-2.0 | 505 |
<!DOCTYPE html>
<html lang="en" ng-app="GoldCastingApp">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
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<title>Gold Casting System</title>
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Test testAbaNumberCheck_14061_good
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<a href="../../../../../com/cardatechnologies/utils/validators/abaroutevalidator/Test_AbaRouteValidator_07.html?line=38728#src-38728" >testAbaNumberCheck_14061_good</a>
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<h2 title="Uses of Class org.apache.cassandra.thrift.KeyRange._Fields" class="title">Uses of Class<br>org.apache.cassandra.thrift.KeyRange._Fields</h2>
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<h3>Uses of <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a> in <a href="../../../../../org/apache/cassandra/thrift/package-summary.html">org.apache.cassandra.thrift</a></h3>
<table border="0" cellpadding="3" cellspacing="0" summary="Use table, listing fields, and an explanation">
<caption><span>Fields in <a href="../../../../../org/apache/cassandra/thrift/package-summary.html">org.apache.cassandra.thrift</a> with type parameters of type <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Field and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code>static java.util.Map<<a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a>,org.apache.thrift.meta_data.FieldMetaData></code></td>
<td class="colLast"><span class="strong">KeyRange.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange.html#metaDataMap">metaDataMap</a></strong></code> </td>
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<caption><span>Methods in <a href="../../../../../org/apache/cassandra/thrift/package-summary.html">org.apache.cassandra.thrift</a> that return <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></code></td>
<td class="colLast"><span class="strong">KeyRange.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange.html#fieldForId(int)">fieldForId</a></strong>(int fieldId)</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></code></td>
<td class="colLast"><span class="strong">KeyRange._Fields.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html#findByName(java.lang.String)">findByName</a></strong>(java.lang.String name)</code>
<div class="block">Find the _Fields constant that matches name, or null if its not found.</div>
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<tr class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></code></td>
<td class="colLast"><span class="strong">KeyRange._Fields.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html#findByThriftId(int)">findByThriftId</a></strong>(int fieldId)</code>
<div class="block">Find the _Fields constant that matches fieldId, or null if its not found.</div>
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<tr class="rowColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></code></td>
<td class="colLast"><span class="strong">KeyRange._Fields.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html#findByThriftIdOrThrow(int)">findByThriftIdOrThrow</a></strong>(int fieldId)</code>
<div class="block">Find the _Fields constant that matches fieldId, throwing an exception
if it is not found.</div>
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<tr class="altColor">
<td class="colFirst"><code>static <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a></code></td>
<td class="colLast"><span class="strong">KeyRange._Fields.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html#valueOf(java.lang.String)">valueOf</a></strong>(java.lang.String name)</code>
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<td class="colFirst"><code>static <a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a>[]</code></td>
<td class="colLast"><span class="strong">KeyRange._Fields.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html#values()">values</a></strong>()</code>
<div class="block">Returns an array containing the constants of this enum type, in
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<td class="colFirst"><code>java.lang.Object</code></td>
<td class="colLast"><span class="strong">KeyRange.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange.html#getFieldValue(org.apache.cassandra.thrift.KeyRange._Fields)">getFieldValue</a></strong>(<a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a> field)</code> </td>
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<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><span class="strong">KeyRange.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange.html#isSet(org.apache.cassandra.thrift.KeyRange._Fields)">isSet</a></strong>(<a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a> field)</code>
<div class="block">Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise</div>
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<td class="colFirst"><code>void</code></td>
<td class="colLast"><span class="strong">KeyRange.</span><code><strong><a href="../../../../../org/apache/cassandra/thrift/KeyRange.html#setFieldValue(org.apache.cassandra.thrift.KeyRange._Fields,%20java.lang.Object)">setFieldValue</a></strong>(<a href="../../../../../org/apache/cassandra/thrift/KeyRange._Fields.html" title="enum in org.apache.cassandra.thrift">KeyRange._Fields</a> field,
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OrientedDrawable - Fresco API
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<li class="api apilevel-"><a href="../../../../com/facebook/drawee/drawable/CloneableDrawable.html">CloneableDrawable</a></li>
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<div class="g-unit" id="doc-content">
<div id="api-info-block">
<div class="sum-details-links">
Summary:
<a href="#inhfields">Inherited Fields</a>
| <a href="#pubctors">Ctors</a>
| <a href="#pubmethods">Methods</a>
| <a href="#promethods">Protected Methods</a>
| <a href="#inhmethods">Inherited Methods</a>
| <a href="#" onclick="return toggleAllClassInherited()" id="toggleAllClassInherited">[Expand All]</a>
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<!-- ======== START OF CLASS DATA ======== -->
<div id="jd-header">
public
class
<h1>OrientedDrawable</h1>
extends <a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html">ForwardingDrawable</a><br/>
</div><!-- end header -->
<div id="naMessage"></div>
<div id="jd-content" class="api apilevel-">
<table class="jd-inheritance-table">
<tr>
<td colspan="4" class="jd-inheritance-class-cell">java.lang.Object</td>
</tr>
<tr>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="3" class="jd-inheritance-class-cell">android.graphics.drawable.Drawable</td>
</tr>
<tr>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="2" class="jd-inheritance-class-cell"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html">com.facebook.drawee.drawable.ForwardingDrawable</a></td>
</tr>
<tr>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="1" class="jd-inheritance-class-cell">com.facebook.drawee.drawable.OrientedDrawable</td>
</tr>
</table>
<div class="jd-descr">
<h2>Class Overview</h2>
<p>Drawable that automatically rotates the underlying drawable with a pivot in the center of the
drawable bounds based on a rotation angle.
</p>
</div><!-- jd-descr -->
<div class="jd-descr">
<h2>Summary</h2>
<!-- =========== FIELD SUMMARY =========== -->
<table id="inhfields" class="jd-sumtable"><tr><th>
<a href="#" class="toggle-all" onclick="return toggleAllInherited(this, null)">[Expand]</a>
<div style="clear:left;">Inherited Fields</div></th></tr>
<tr class="api apilevel-" >
<td colspan="12">
<a href="#" onclick="return toggleInherited(this, null)" id="inherited-fields-com.facebook.drawee.drawable.ForwardingDrawable" class="jd-expando-trigger closed"
><img id="inherited-fields-com.facebook.drawee.drawable.ForwardingDrawable-trigger"
src="../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>From class
<a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html">com.facebook.drawee.drawable.ForwardingDrawable</a>
<div id="inherited-fields-com.facebook.drawee.drawable.ForwardingDrawable">
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class="jd-inheritedlinks">
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<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
protected
<a href="../../../../com/facebook/drawee/drawable/TransformCallback.html">TransformCallback</a></td>
<td class="jd-linkcol"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#mTransformCallback">mTransformCallback</a></td>
<td class="jd-descrcol" width="100%"></td>
</tr>
</table>
</div>
</div>
</td></tr>
</table>
<!-- ======== CONSTRUCTOR SUMMARY ======== -->
<table id="pubctors" class="jd-sumtable"><tr><th colspan="12">Public Constructors</th></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#OrientedDrawable(android.graphics.drawable.Drawable, int)">OrientedDrawable</a></span>(Drawable drawable, int rotationAngle)
<div class="jd-descrdiv">Creates a new OrientedDrawable.</div>
</td></tr>
</table>
<!-- ========== METHOD SUMMARY =========== -->
<table id="pubmethods" class="jd-sumtable"><tr><th colspan="12">Public Methods</th></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#draw(android.graphics.Canvas)">draw</a></span>(Canvas canvas)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#getIntrinsicHeight()">getIntrinsicHeight</a></span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#getIntrinsicWidth()">getIntrinsicWidth</a></span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#getTransform(android.graphics.Matrix)">getTransform</a></span>(Matrix transform)
<div class="jd-descrdiv">Called when the drawable needs to get all matrices applied to it.</div>
</td></tr>
</table>
<!-- ========== METHOD SUMMARY =========== -->
<table id="promethods" class="jd-sumtable"><tr><th colspan="12">Protected Methods</th></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/OrientedDrawable.html#onBoundsChange(android.graphics.Rect)">onBoundsChange</a></span>(Rect bounds)
</td></tr>
</table>
<!-- ========== METHOD SUMMARY =========== -->
<table id="inhmethods" class="jd-sumtable"><tr><th>
<a href="#" class="toggle-all" onclick="return toggleAllInherited(this, null)">[Expand]</a>
<div style="clear:left;">Inherited Methods</div></th></tr>
<tr class="api apilevel-" >
<td colspan="12">
<a href="#" onclick="return toggleInherited(this, null)" id="inherited-methods-com.facebook.drawee.drawable.ForwardingDrawable" class="jd-expando-trigger closed"
><img id="inherited-methods-com.facebook.drawee.drawable.ForwardingDrawable-trigger"
src="../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>
From class
<a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html">com.facebook.drawee.drawable.ForwardingDrawable</a>
<div id="inherited-methods-com.facebook.drawee.drawable.ForwardingDrawable">
<div id="inherited-methods-com.facebook.drawee.drawable.ForwardingDrawable-list"
class="jd-inheritedlinks">
</div>
<div id="inherited-methods-com.facebook.drawee.drawable.ForwardingDrawable-summary" style="display: none;">
<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#draw(android.graphics.Canvas)">draw</a></span>(Canvas canvas)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Drawable.ConstantState
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getConstantState()">getConstantState</a></span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getCurrent()">getCurrent</a></span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getDrawable()">getDrawable</a></span>()
<div class="jd-descrdiv">Gets the child drawable.</div>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getIntrinsicHeight()">getIntrinsicHeight</a></span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getIntrinsicWidth()">getIntrinsicWidth</a></span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getOpacity()">getOpacity</a></span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getPadding(android.graphics.Rect)">getPadding</a></span>(Rect padding)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getParentTransform(android.graphics.Matrix)">getParentTransform</a></span>(Matrix transform)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getRootBounds(android.graphics.RectF)">getRootBounds</a></span>(RectF bounds)
<div class="jd-descrdiv">Called when the drawable needs to get its root bounds.</div>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getTransform(android.graphics.Matrix)">getTransform</a></span>(Matrix transform)
<div class="jd-descrdiv">Called when the drawable needs to get all matrices applied to it.</div>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#getTransformedBounds(android.graphics.RectF)">getTransformedBounds</a></span>(RectF outBounds)
<div class="jd-descrdiv">Gets the transformed bounds of this drawable.</div>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#invalidateDrawable(android.graphics.drawable.Drawable)">invalidateDrawable</a></span>(Drawable who)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#isStateful()">isStateful</a></span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#mutate()">mutate</a></span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#onBoundsChange(android.graphics.Rect)">onBoundsChange</a></span>(Rect bounds)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#onLevelChange(int)">onLevelChange</a></span>(int level)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#onStateChange(int[])">onStateChange</a></span>(int[] state)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#scheduleDrawable(android.graphics.drawable.Drawable, java.lang.Runnable, long)">scheduleDrawable</a></span>(Drawable who, Runnable what, long when)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setAlpha(int)">setAlpha</a></span>(int alpha)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setColorFilter(android.graphics.ColorFilter)">setColorFilter</a></span>(ColorFilter colorFilter)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setCurrent(android.graphics.drawable.Drawable)">setCurrent</a></span>(Drawable newDelegate)
<div class="jd-descrdiv">Sets a new drawable to be the delegate, and returns the old one (or null).</div>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setCurrentWithoutInvalidate(android.graphics.drawable.Drawable)">setCurrentWithoutInvalidate</a></span>(Drawable newDelegate)
<div class="jd-descrdiv">As <code>setCurrent</code>, but without invalidating a drawable.</div>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setDither(boolean)">setDither</a></span>(boolean dither)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setDrawable(android.graphics.drawable.Drawable)">setDrawable</a></span>(Drawable newDrawable)
<div class="jd-descrdiv">Sets the new child drawable.</div>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setFilterBitmap(boolean)">setFilterBitmap</a></span>(boolean filterBitmap)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setHotspot(float, float)">setHotspot</a></span>(float x, float y)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setTransformCallback(com.facebook.drawee.drawable.TransformCallback)">setTransformCallback</a></span>(<a href="../../../../com/facebook/drawee/drawable/TransformCallback.html">TransformCallback</a> transformCallback)
<div class="jd-descrdiv">Sets a transform callback.</div>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#setVisible(boolean, boolean)">setVisible</a></span>(boolean visible, boolean restart)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad"><a href="../../../../com/facebook/drawee/drawable/ForwardingDrawable.html#unscheduleDrawable(android.graphics.drawable.Drawable, java.lang.Runnable)">unscheduleDrawable</a></span>(Drawable who, Runnable what)
</td></tr>
</table>
</div>
</div>
</td></tr>
<tr class="api apilevel-" >
<td colspan="12">
<a href="#" onclick="return toggleInherited(this, null)" id="inherited-methods-android.graphics.drawable.Drawable" class="jd-expando-trigger closed"
><img id="inherited-methods-android.graphics.drawable.Drawable-trigger"
src="../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>
From class
android.graphics.drawable.Drawable
<div id="inherited-methods-android.graphics.drawable.Drawable">
<div id="inherited-methods-android.graphics.drawable.Drawable-list"
class="jd-inheritedlinks">
</div>
<div id="inherited-methods-android.graphics.drawable.Drawable-summary" style="display: none;">
<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">applyTheme</span>(Resources.Theme arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">canApplyTheme</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">clearColorFilter</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
final
Rect
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">copyBounds</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
final
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">copyBounds</span>(Rect arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromPath</span>(String arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromResourceStream</span>(Resources arg0, TypedValue arg1, InputStream arg2, String arg3, BitmapFactory.Options arg4)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromResourceStream</span>(Resources arg0, TypedValue arg1, InputStream arg2, String arg3)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromStream</span>(InputStream arg0, String arg1)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromXml</span>(Resources arg0, XmlPullParser arg1)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromXml</span>(Resources arg0, XmlPullParser arg1, Resources.Theme arg2)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromXmlInner</span>(Resources arg0, XmlPullParser arg1, AttributeSet arg2, Resources.Theme arg3)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
static
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">createFromXmlInner</span>(Resources arg0, XmlPullParser arg1, AttributeSet arg2)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
abstract
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">draw</span>(Canvas arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getAlpha</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
final
Rect
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getBounds</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable.Callback
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getCallback</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getChangingConfigurations</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
ColorFilter
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getColorFilter</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Drawable.ConstantState
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getConstantState</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getCurrent</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Rect
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getDirtyBounds</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getHotspotBounds</span>(Rect arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getIntrinsicHeight</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getIntrinsicWidth</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getLayoutDirection</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
final
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getLevel</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getMinimumHeight</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getMinimumWidth</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
abstract
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getOpacity</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getOutline</span>(Outline arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getPadding</span>(Rect arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
int[]
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getState</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
Region
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">getTransparentRegion</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">inflate</span>(Resources arg0, XmlPullParser arg1, AttributeSet arg2, Resources.Theme arg3)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">inflate</span>(Resources arg0, XmlPullParser arg1, AttributeSet arg2)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">invalidateSelf</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">isAutoMirrored</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">isFilterBitmap</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">isStateful</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
final
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">isVisible</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">jumpToCurrentState</span>()
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
Drawable
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">mutate</span>()
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">onBoundsChange</span>(Rect arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">onLayoutDirectionChanged</span>(int arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">onLevelChange</span>(int arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
boolean
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">onStateChange</span>(int[] arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
static
int
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">resolveOpacity</span>(int arg0, int arg1)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">scheduleSelf</span>(Runnable arg0, long arg1)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
abstract
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setAlpha</span>(int arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setAutoMirrored</span>(boolean arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setBounds</span>(int arg0, int arg1, int arg2, int arg3)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setBounds</span>(Rect arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
final
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setCallback</span>(Drawable.Callback arg0)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setChangingConfigurations</span>(int arg0)
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol">
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setColorFilter</span>(int arg0, PorterDuff.Mode arg1)
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol">
abstract
void
</td>
<td class="jd-linkcol" width="100%">
<span class="sympad">setColorFilter</span>(ColorFilter arg0)
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<div class="subTitle">net.floodlightcontroller.packetstreamer.thrift</div>
<h2 title="Class PacketStreamer.pushMessageSync_args" class="title">Class PacketStreamer.pushMessageSync_args</h2>
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<li>java.lang.Object</li>
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<dd>java.io.Serializable, java.lang.Cloneable, java.lang.Comparable<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>>, org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></dd>
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<dt>Enclosing class:</dt>
<dd><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer</a></dd>
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<pre>public static class <span class="strong">PacketStreamer.pushMessageSync_args</span>
extends java.lang.Object
implements org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>>, java.io.Serializable, java.lang.Cloneable</pre>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../serialized-form.html#net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args">Serialized Form</a></dd></dl>
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<td class="colFirst"><code>static class </code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a></strong></code>
<div class="block">The set of fields this struct contains, along with convenience methods for finding and manipulating them.</div>
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</tr>
<tr class="altColor">
<td class="colFirst"><code>static java.util.Map<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>,org.apache.thrift.meta_data.FieldMetaData></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#metaDataMap">metaDataMap</a></strong></code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#packet">packet</a></strong></code> </td>
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<h3>Constructor Summary</h3>
<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Constructor Summary table, listing constructors, and an explanation">
<caption><span>Constructors</span><span class="tabEnd"> </span></caption>
<tr>
<th class="colOne" scope="col">Constructor and Description</th>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#PacketStreamer.pushMessageSync_args()">PacketStreamer.pushMessageSync_args</a></strong>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#PacketStreamer.pushMessageSync_args(net.floodlightcontroller.packetstreamer.thrift.Message)">PacketStreamer.pushMessageSync_args</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> packet)</code> </td>
</tr>
<tr class="altColor">
<td class="colOne"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#PacketStreamer.pushMessageSync_args(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args)">PacketStreamer.pushMessageSync_args</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> other)</code>
<div class="block">Performs a deep copy on <i>other</i>.</div>
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<h3>Method Summary</h3>
<table class="overviewSummary" border="0" cellpadding="3" cellspacing="0" summary="Method Summary table, listing methods, and an explanation">
<caption><span>Methods</span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#clear()">clear</a></strong>()</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#compareTo(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args)">compareTo</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> other)</code> </td>
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<tr class="altColor">
<td class="colFirst"><code><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#deepCopy()">deepCopy</a></strong>()</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#equals(java.lang.Object)">equals</a></strong>(java.lang.Object that)</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#equals(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args)">equals</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> that)</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#fieldForId(int)">fieldForId</a></strong>(int fieldId)</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>java.lang.Object</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#getFieldValue(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args._Fields)">getFieldValue</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field)</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#getPacket()">getPacket</a></strong>()</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>int</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#hashCode()">hashCode</a></strong>()</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#isSet(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args._Fields)">isSet</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field)</code>
<div class="block">Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#isSetPacket()">isSetPacket</a></strong>()</code>
<div class="block">Returns true if field packet is set (has been assigned a value) and false otherwise</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#read(org.apache.thrift.protocol.TProtocol)">read</a></strong>(org.apache.thrift.protocol.TProtocol iprot)</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#setFieldValue(net.floodlightcontroller.packetstreamer.thrift.PacketStreamer.pushMessageSync_args._Fields,%20java.lang.Object)">setFieldValue</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field,
java.lang.Object value)</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a></code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#setPacket(net.floodlightcontroller.packetstreamer.thrift.Message)">setPacket</a></strong>(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> packet)</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#setPacketIsSet(boolean)">setPacketIsSet</a></strong>(boolean value)</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#toString()">toString</a></strong>()</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#unsetPacket()">unsetPacket</a></strong>()</code> </td>
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<tr class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#validate()">validate</a></strong>()</code> </td>
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<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html#write(org.apache.thrift.protocol.TProtocol)">write</a></strong>(org.apache.thrift.protocol.TProtocol oprot)</code> </td>
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<h3>Methods inherited from class java.lang.Object</h3>
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<h4>packet</h4>
<pre>public <a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> packet</pre>
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<pre>public static final java.util.Map<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>,org.apache.thrift.meta_data.FieldMetaData> metaDataMap</pre>
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<h4>PacketStreamer.pushMessageSync_args</h4>
<pre>public PacketStreamer.pushMessageSync_args()</pre>
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<pre>public PacketStreamer.pushMessageSync_args(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> packet)</pre>
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<pre>public PacketStreamer.pushMessageSync_args(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> other)</pre>
<div class="block">Performs a deep copy on <i>other</i>.</div>
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<h3>Method Detail</h3>
<a name="deepCopy()">
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<h4>deepCopy</h4>
<pre>public <a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> deepCopy()</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>deepCopy</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<h4>clear</h4>
<pre>public void clear()</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>clear</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<h4>getPacket</h4>
<pre>public <a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> getPacket()</pre>
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<h4>setPacket</h4>
<pre>public <a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> setPacket(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/Message.html" title="class in net.floodlightcontroller.packetstreamer.thrift">Message</a> packet)</pre>
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<pre>public void unsetPacket()</pre>
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<h4>isSetPacket</h4>
<pre>public boolean isSetPacket()</pre>
<div class="block">Returns true if field packet is set (has been assigned a value) and false otherwise</div>
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<pre>public void setPacketIsSet(boolean value)</pre>
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<pre>public void setFieldValue(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field,
java.lang.Object value)</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>setFieldValue</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<h4>getFieldValue</h4>
<pre>public java.lang.Object getFieldValue(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field)</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>getFieldValue</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<h4>isSet</h4>
<pre>public boolean isSet(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> field)</pre>
<div class="block">Returns true if field corresponding to fieldID is set (has been assigned a value) and false otherwise</div>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>isSet</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<pre>public boolean equals(java.lang.Object that)</pre>
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<dt><strong>Overrides:</strong></dt>
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<h4>equals</h4>
<pre>public boolean equals(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> that)</pre>
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<pre>public int hashCode()</pre>
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<dd><code>hashCode</code> in class <code>java.lang.Object</code></dd>
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<h4>compareTo</h4>
<pre>public int compareTo(<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a> other)</pre>
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<dt><strong>Specified by:</strong></dt>
<dd><code>compareTo</code> in interface <code>java.lang.Comparable<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>></code></dd>
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<h4>fieldForId</h4>
<pre>public <a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a> fieldForId(int fieldId)</pre>
<dl>
<dt><strong>Specified by:</strong></dt>
<dd><code>fieldForId</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
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<h4>read</h4>
<pre>public void read(org.apache.thrift.protocol.TProtocol iprot)
throws org.apache.thrift.TException</pre>
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<dt><strong>Specified by:</strong></dt>
<dd><code>read</code> in interface <code>org.apache.thrift.TBase<<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html" title="class in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args</a>,<a href="../../../../net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args._Fields.html" title="enum in net.floodlightcontroller.packetstreamer.thrift">PacketStreamer.pushMessageSync_args._Fields</a>></code></dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>org.apache.thrift.TException</code></dd></dl>
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| paulorvj/sdnvoip | doc/net/floodlightcontroller/packetstreamer/thrift/PacketStreamer.pushMessageSync_args.html | HTML | apache-2.0 | 36,722 |
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<md-card-header>
<md-card-avatar>
<md-icon>build</md-icon>
</md-card-avatar>
<md-card-header-text layout="row" layout-align="space-between center">
<div layout="column">
<span class="md-title">Index configuration</span>
</div>
<md-button class="md-fab md-mini md-hue-1" aria-label="Add new field" ng-click="saveIndexConfig()">
<md-icon>save</md-icon>
</md-button>
</md-card-header-text>
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<md-divider></md-divider>
<md-card-content class="config">
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<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Auto-commit: {{ index.indexConfiguration.autoCommit ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.autoCommit" aria-label="AutoCommit">
</div>
</md-list-item>
<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Commit on close: {{ index.indexConfiguration.commitOnClose ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.commitOnClose" aria-label="CommitOnClose">
</div>
</md-list-item>
<md-list-item>
<md-slider-container ng-disabled="!index.indexConfiguration.autoCommit" layout-fill>
<span class="md-body-1">Commit time (s)</span>
<md-tooltip>The amount of time in seconds that FlexSearch should wait before committing changes to the disk. This is only used if no commits have happened in the set time period otherwise CommitEveryNFlushes takes care of commits</md-tooltip>
<md-slider flex ng-model="index.indexConfiguration.commitTimeSeconds" min="1" max="300" aria-label="Commit Time Seconds" id="commit-time-slider">
</md-slider>
<md-input-container>
<input flex type="number" ng-model="index.indexConfiguration.commitTimeSeconds" aria-label="Commit Time Seconds" aria-controls="commit-time-slider">
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</md-slider-container>
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<md-subheader class="md-no-sticky">Refresh configs</md-subheader>
<md-divider></md-divider>
<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Auto-refresh: {{ index.indexConfiguration.autoRefresh ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.autoRefresh" aria-label="AutoRefresh">
</div>
</md-list-item>
<md-list-item>
<md-slider-container layout-fill ng-disabled="!index.indexConfiguration.autoRefresh">
<span class="md-body-1">Refresh time (s)</span>
<md-slider flex ng-model="index.indexConfiguration.refreshTimeMilliseconds" min="1" max="10000" aria-label="Refresh Time Seconds" id="refresh-time-slider">
</md-slider>
<md-input-container>
<input flex type="number" ng-model="index.indexConfiguration.refreshTimeMilliseconds" aria-label="Refresh Time Seconds" aria-controls="refresh-time-slider">
</md-input-container>
</md-slider-container>
</md-list-item>
<md-subheader class="md-no-sticky">Other configs</md-subheader>
<md-divider></md-divider>
<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Delete logs on close: {{ index.indexConfiguration.deleteLogsOnClose ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.deleteLogsOnClose" aria-label="deleteLogsOnClose">
</div>
</md-list-item>
<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Allow reads: {{ index.indexConfiguration.allowReads ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.allowReads" aria-label="allowReads">
</div>
</md-list-item>
<md-list-item>
<div layout-align="space-between center" layout-fill layout="row">
<span class="md-body-1">Allow writes: {{ index.indexConfiguration.allowWrites ? "yes" : "no" }}</span>
<md-switch ng-model="index.indexConfiguration.allowWrites" aria-label="allowWrites">
</div>
</md-list-item>
<md-list-item>
<div layout="row" layout-fill>
<md-input-container flex>
<label for="directoryType">Directory Type</label>
<md-select ng-model="index.indexConfiguration.directoryType">
<md-option ng-repeat="d in directoryTypes" value="{{d}}">
{{d}}
</md-option>
</md-select>
<md-tooltip>A Directory is a flat list of files. Files may be written once, when they are created. Once a file is created it may only be opened for read, or deleted. Random access is permitted both when reading and writing.</md-tooltip>
</md-input-container>
<md-input-container flex>
<label for="indexVersion">Index version</label>
<md-select ng-model="index.indexConfiguration.indexVersion">
<md-option ng-repeat="v in indexVersions" value="{{v}}">
{{v}}
</md-option>
</md-select>
<md-tooltip>Corresponds to Lucene Index version. There will always be a default codec associated with each index version.</md-tooltip>
</md-input-container>
</div>
</md-list-item>
<md-list-item>
<md-slider-container layout-fill>
<span class="md-body-1">RAM buffer size (Mb)</span>
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<md-input-container>
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<md-list-item>
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<span class="md-body-1">Write lock timeout (ms)</span>
<md-slider flex ng-model="index.indexConfiguration.defaultWriteLockTimeout" min="1" max="10000" aria-label="defaultWriteLockTimeout" id="defaultWriteLockTimeout">
</md-slider>
<md-input-container>
<input flex type="number" ng-model="index.indexConfiguration.defaultWriteLockTimeout" aria-label="defaultWriteLockTimeout" aria-controls="defaultWriteLockTimeout">
</md-input-container>
</md-slider-container>
</md-list-item>
</md-list>
</md-content>
</md-card-content>
| FlexSearch/FlexSearch | srcjs/src/apps/adminui/indexConfigTemplate.html | HTML | apache-2.0 | 7,471 |
<div ng-controller="createClusterModalController as createClusterModalCntrl">
<div class="tendrl-create-cluster-modal-container">
<custom-modal-header title="createClusterModalCntrl.modalHeader.title" close="createClusterModalCntrl.modalHeader.close"></custom-modal-header>
<div class="modal-body">
<p>Multiple storage service providers available on this system. Select the storage service to use for this cluster.</p>
<b>Storage Service</b>
<ul class="list-group">
<li ng-class="{selectedCluster : cluster.value === createClusterModalCntrl.valueSelected}" ng-repeat = "cluster in createClusterModalCntrl.StorageServices" ng-click="createClusterModalCntrl.setSelected(cluster.value)" class="list-group-item" >{{cluster.name}}</li>
</ul>
</div>
<custom-modal-footer modal-footer="createClusterModalCntrl.modalFooter"></custom-modal-footer>
</div>
</div> | cloudbehl/tendrl_frontend | src/modules/cluster/create-cluster/create-cluster-modal/create-cluster-modal.html | HTML | apache-2.0 | 881 |
<div class="serviceaddressPage">
<form>
<div class="right-inner-addon">
<input id="address" type="text" class="form-control searchplace" [(ngModel)]="userAddress" name="user Address" placeholder="Search for your service needed location on Map and drag marker to your place." />
</div>
<div>
<sebm-google-map [latitude]="serviceinfo.latitude" [longitude]="serviceinfo.longitude" [zoom]="serviceinfo.zoom" [disableDefaultUI]="false" [zoomControl]="true">
<sebm-google-map-marker [latitude]="serviceinfo.latitude" [longitude]="serviceinfo.longitude" [markerDraggable]="true" (dragEnd)="markerPostionChanged($event)"></sebm-google-map-marker>
</sebm-google-map>
</div>
<div class="form-group">
<label for="Address">Please modify as any specific location address in selected place in Map:</label>
<textarea class="form-control" cols="10" rows="7" [(ngModel)]="serviceinfo.address" (ngModelChange)="addressChange($event)" name="address"></textarea>
</div>
</form>
</div> | chaithu563/myserviceneed | app/core/userview/postservice/address/address.html | HTML | apache-2.0 | 1,106 |
<!DOCTYPE html>
<html>
<head>
<link type="text/css" rel="stylesheet" href="style.css" />
<title>Duel - Alexaviers Games</title>
</head>
<body>
<div id="page">
<div id="game">
<canvas width="600" height="600"></canvas>
</div>
<div id="menu-info">
Move with arrows, shoot with space. Select with Return.
</div>
<div id="status-bar">
<div id=player1-health">
</div>
</div>
<div id="game-info">
FPS: <span id="fps"></span>
<h1>Game states</h1>
Minimalistic example using all jaws convenience methods and game states.
Game states are an proven and robust way of separating various parts of the game.
For example: An intro, a menu, the actual game play, the high score list. That's 4 different game states right there.
<br />
<br />
A gamestate is just an normal javascript object with the methods setup(), update() and draw().
In this example we make 2 Constructors: <code>
PlayState()</code>
and <code>
MenuState()</code>
.
<br />
We switch active game state with: <code>
jaws.switchGameState(a_game_state_or_function)</code>
</div > <h3>jaws log</h3>
<div id="jaws-log"></div>
</div>
<script type="text/javascript" src="jaws.js"></script>
<script type="text/javascript" src="duel.js"></script>
<script>
/*
*
* PlayState is the actual game play. We switch to it once user choses "Start game"
*
*/
var fps = document.getElementById("fps")
/*
*
* MenuState is our lobby/welcome menu were gamer can chose start, high score and settings.
* For this example we have only implemented start. Start switches active game state by simply:
* jaws.switchGameState(play) (jaws.switchGameState(PlayState) would have worked too)
*
*/
function MenuState() {
var index = 0
var items = ["Start", "Shop", "Highscore"]
this.setup = function() {
index = 0
jaws.on_keydown(["down", "s"], function() {
index++;
if(index >= items.length) {
index = items.length - 1
}
})
jaws.on_keydown(["up", "w"], function() {
index--;
if(index < 0) {
index = 0
}
})
jaws.on_keydown(["enter", "space"], function() {
if(items[index] == "Start") {
jaws.switchGameState(PlayState, {
fps : 30,
height : 768,
width : 1024
})
}
if(items[index] == "Shop") {
jaws.switchGameState(ShopState, {
fps : 30,
height : 768,
width : 1024
})
}
})
}
this.draw = function() {
jaws.clear()
for(var i = 0; items[i]; i++) {
// jaws.context.translate(0.5, 0.5)
jaws.context.font = "bold 50pt terminal";
jaws.context.lineWidth = 10
jaws.context.fillStyle = (i == index) ? "Red" : "Black"
jaws.context.strokeStyle = "rgba(200,200,200,0.0)"
jaws.context.fillText(items[i], 30, 100 + i * 60)
}
}
}
function ShopState() {
var index = 0
var items = ["Cannon", "HeatSeeker", "Mine"]
this.setup = function() {
index = 0
jaws.on_keydown(["down", "s"], function() {
index++;
if(index >= items.length) {
index = items.length - 1
}
})
jaws.on_keydown(["up", "w"], function() {
index--;
if(index < 0) {
index = 0
}
})
jaws.on_keydown(["enter", "space"], function() {
if(items[index] == "Cannon") {
jaws.switchGameState(new duel.PlayState({
gun : new duel.Cannon(),
mineLauncher : new duel.MineLauncher()
}), {
fps : 30,
height : 768,
width : 1024
})
}
if(items[index] == "HeatSeeker") {
jaws.switchGameState(new duel.PlayState({
gun : new duel.MissileLauncher(),
mineLauncher : new duel.MineLauncher()
}), {
fps : 30,
height : 768,
width : 1024
})
}
})
}
this.draw = function() {
jaws.clear()
for(var i = 0; items[i]; i++) {
// jaws.context.translate(0.5, 0.5)
jaws.context.font = "bold 50pt terminal";
jaws.context.lineWidth = 10
jaws.context.fillStyle = (i == index) ? "Red" : "Black"
jaws.context.strokeStyle = "rgba(200,200,200,0.0)"
jaws.context.fillText(items[i], 30, 100 + i * 60)
}
}
}
/*
*
* Our script-entry point
*
*/
window.onload = function() {
duel.load();
duel.showMenu();
}
</script>
</body>
</html>
| stickycode/dragonfly | jaws.html | HTML | apache-2.0 | 4,667 |
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<td class="colFirst"><a href="#org.apache.solr.cloud">org.apache.solr.cloud</a></td>
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<div class="block">Base classes and utilities for creating and testing <a href="https://wiki.apache.org/solr/SolrCloud">Solr Cloud</a> clusters.</div>
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<caption><span>Fields in <a href="../../../../../org/apache/solr/cloud/package-summary.html">org.apache.solr.cloud</a> declared as <a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></span><span class="tabEnd"> </span></caption>
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<td class="colFirst"><code>protected <a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></code></td>
<td class="colLast"><span class="strong">AbstractDistribZkTestBase.</span><code><strong><a href="../../../../../org/apache/solr/cloud/AbstractDistribZkTestBase.html#zkServer">zkServer</a></strong></code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>protected static <a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></code></td>
<td class="colLast"><span class="strong">AbstractZkTestCase.</span><code><strong><a href="../../../../../org/apache/solr/cloud/AbstractZkTestCase.html#zkServer">zkServer</a></strong></code> </td>
</tr>
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<caption><span>Methods in <a href="../../../../../org/apache/solr/cloud/package-summary.html">org.apache.solr.cloud</a> that return <a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></span><span class="tabEnd"> </span></caption>
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<td class="colFirst"><code><a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></code></td>
<td class="colLast"><span class="strong">MiniSolrCloudCluster.</span><code><strong><a href="../../../../../org/apache/solr/cloud/MiniSolrCloudCluster.html#getZkServer()">getZkServer</a></strong>()</code> </td>
</tr>
</tbody>
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<caption><span>Constructors in <a href="../../../../../org/apache/solr/cloud/package-summary.html">org.apache.solr.cloud</a> with parameters of type <a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a></span><span class="tabEnd"> </span></caption>
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<th class="colOne" scope="col">Constructor and Description</th>
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<td class="colLast"><code><strong><a href="../../../../../org/apache/solr/cloud/ChaosMonkey.html#ChaosMonkey(org.apache.solr.cloud.ZkTestServer, org.apache.solr.common.cloud.ZkStateReader, java.lang.String, java.util.Map, java.util.Map)">ChaosMonkey</a></strong>(<a href="../../../../../org/apache/solr/cloud/ZkTestServer.html" title="class in org.apache.solr.cloud">ZkTestServer</a> zkServer,
org.apache.solr.common.cloud.ZkStateReader zkStateReader,
<a href="http://download.oracle.com/javase/7/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a> collection,
<a href="http://download.oracle.com/javase/7/docs/api/java/util/Map.html?is-external=true" title="class or interface in java.util">Map</a><<a href="http://download.oracle.com/javase/7/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a>,<a href="http://download.oracle.com/javase/7/docs/api/java/util/List.html?is-external=true" title="class or interface in java.util">List</a><<a href="../../../../../org/apache/solr/cloud/AbstractFullDistribZkTestBase.CloudJettyRunner.html" title="class in org.apache.solr.cloud">AbstractFullDistribZkTestBase.CloudJettyRunner</a>>> shardToJetty,
<a href="http://download.oracle.com/javase/7/docs/api/java/util/Map.html?is-external=true" title="class or interface in java.util">Map</a><<a href="http://download.oracle.com/javase/7/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a>,<a href="../../../../../org/apache/solr/cloud/AbstractFullDistribZkTestBase.CloudJettyRunner.html" title="class in org.apache.solr.cloud">AbstractFullDistribZkTestBase.CloudJettyRunner</a>> shardToLeaderJetty)</code> </td>
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| pulipulichen/ir-practice-solr | docs/solr-test-framework/org/apache/solr/cloud/class-use/ZkTestServer.html | HTML | apache-2.0 | 10,597 |
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| arrowli/RsyncHadoop | hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/target/org/apache/hadoop/mapreduce/lib/input/class-use/SequenceFileInputFilter.PercentFilter.html | HTML | apache-2.0 | 4,938 |
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<td class="colFirst"><code>class </code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../psidev/psi/mi/jami/xml/model/extension/datasource/XmlModelledBinarySource.html" title="class in psidev.psi.mi.jami.xml.model.extension.datasource">XmlModelledBinarySource</a></span></code>
<div class="block">PSI-XML 2.5 data source that provides modelled binary interactions (ignore experimental details).</div>
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<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Methods in <a href="../../../../../../org/apache/cassandra/io/sstable/format/package-summary.html">org.apache.cassandra.io.sstable.format</a> that return <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>></code></td>
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</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>></code></td>
<td class="colLast"><span class="typeNameLabel">SSTableReader.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html#selfRef--">selfRef</a></span>()</code> </td>
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<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>></code></td>
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<h3>Uses of <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a> in <a href="../../../../../../org/apache/cassandra/streaming/package-summary.html">org.apache.cassandra.streaming</a></h3>
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<caption><span>Fields in <a href="../../../../../../org/apache/cassandra/streaming/package-summary.html">org.apache.cassandra.streaming</a> declared as <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
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<th class="colFirst" scope="col">Modifier and Type</th>
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<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>></code></td>
<td class="colLast"><span class="typeNameLabel">StreamSession.SSTableStreamingSections.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/streaming/StreamSession.SSTableStreamingSections.html#ref">ref</a></span></code> </td>
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</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Methods in <a href="../../../../../../org/apache/cassandra/streaming/package-summary.html">org.apache.cassandra.streaming</a> with parameters of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><span class="typeNameLabel">StreamTransferTask.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/streaming/StreamTransferTask.html#addTransferFile-org.apache.cassandra.utils.concurrent.Ref-long-java.util.List-long-">addTransferFile</a></span>(<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>> ref,
long estimatedKeys,
java.util.List<<a href="../../../../../../org/apache/cassandra/utils/Pair.html" title="class in org.apache.cassandra.utils">Pair</a><java.lang.Long,java.lang.Long>> sections,
long repairedAt)</code> </td>
</tr>
</tbody>
</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing constructors, and an explanation">
<caption><span>Constructors in <a href="../../../../../../org/apache/cassandra/streaming/package-summary.html">org.apache.cassandra.streaming</a> with parameters of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colOne" scope="col">Constructor and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/streaming/StreamSession.SSTableStreamingSections.html#SSTableStreamingSections-org.apache.cassandra.utils.concurrent.Ref-java.util.List-long-long-">SSTableStreamingSections</a></span>(<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>> ref,
java.util.List<<a href="../../../../../../org/apache/cassandra/utils/Pair.html" title="class in org.apache.cassandra.utils">Pair</a><java.lang.Long,java.lang.Long>> sections,
long estimatedKeys,
long repairedAt)</code> </td>
</tr>
</tbody>
</table>
</li>
<li class="blockList"><a name="org.apache.cassandra.streaming.messages">
<!-- -->
</a>
<h3>Uses of <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a> in <a href="../../../../../../org/apache/cassandra/streaming/messages/package-summary.html">org.apache.cassandra.streaming.messages</a></h3>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing constructors, and an explanation">
<caption><span>Constructors in <a href="../../../../../../org/apache/cassandra/streaming/messages/package-summary.html">org.apache.cassandra.streaming.messages</a> with parameters of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colOne" scope="col">Constructor and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/streaming/messages/OutgoingFileMessage.html#OutgoingFileMessage-org.apache.cassandra.utils.concurrent.Ref-int-long-java.util.List-long-boolean-">OutgoingFileMessage</a></span>(<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/io/sstable/format/SSTableReader.html" title="class in org.apache.cassandra.io.sstable.format">SSTableReader</a>> ref,
int sequenceNumber,
long estimatedKeys,
java.util.List<<a href="../../../../../../org/apache/cassandra/utils/Pair.html" title="class in org.apache.cassandra.utils">Pair</a><java.lang.Long,java.lang.Long>> sections,
long repairedAt,
boolean keepSSTableLevel)</code> </td>
</tr>
</tbody>
</table>
</li>
<li class="blockList"><a name="org.apache.cassandra.utils.concurrent">
<!-- -->
</a>
<h3>Uses of <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a> in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a></h3>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Methods in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a> that return <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html" title="type parameter in Refs">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">Refs.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html#get-T-">get</a></span>(<a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html" title="type parameter in Refs">T</a> referenced)</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="type parameter in Ref">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">Ref.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html#ref--">ref</a></span>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/RefCounted.html" title="type parameter in RefCounted">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">RefCounted.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/RefCounted.html#ref--">ref</a></span>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/SelfRefCounted.html" title="type parameter in SelfRefCounted">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">SelfRefCounted.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/SelfRefCounted.html#selfRef--">selfRef</a></span>()</code> </td>
</tr>
<tr class="altColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="type parameter in Ref">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">Ref.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html#tryRef--">tryRef</a></span>()</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/RefCounted.html" title="type parameter in RefCounted">T</a>></code></td>
<td class="colLast"><span class="typeNameLabel">RefCounted.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/RefCounted.html#tryRef--">tryRef</a></span>()</code> </td>
</tr>
</tbody>
</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Methods in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a> that return types with arguments of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code>static <T extends <a href="../../../../../../org/apache/cassandra/utils/concurrent/SelfRefCounted.html" title="interface in org.apache.cassandra.utils.concurrent">SelfRefCounted</a><T>><br>java.lang.Iterable<<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><T>></code></td>
<td class="colLast"><span class="typeNameLabel">Refs.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html#selfRefs-java.lang.Iterable-">selfRefs</a></span>(java.lang.Iterable<T> refs)</code> </td>
</tr>
</tbody>
</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Methods in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a> with parameters of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><span class="typeNameLabel">Ref.IdentityCollection.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.IdentityCollection.html#add-org.apache.cassandra.utils.concurrent.Ref-">add</a></span>(<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><?> ref)</code> </td>
</tr>
</tbody>
</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing methods, and an explanation">
<caption><span>Method parameters in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a> with type arguments of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Method and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><code>static void</code></td>
<td class="colLast"><span class="typeNameLabel">Refs.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html#release-java.lang.Iterable-">release</a></span>(java.lang.Iterable<? extends <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><?>> refs)</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>static java.lang.Throwable</code></td>
<td class="colLast"><span class="typeNameLabel">Refs.</span><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html#release-java.lang.Iterable-java.lang.Throwable-">release</a></span>(java.lang.Iterable<? extends <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><?>> refs,
java.lang.Throwable accumulate)</code> </td>
</tr>
</tbody>
</table>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing constructors, and an explanation">
<caption><span>Constructor parameters in <a href="../../../../../../org/apache/cassandra/utils/concurrent/package-summary.html">org.apache.cassandra.utils.concurrent</a> with type arguments of type <a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a></span><span class="tabEnd"> </span></caption>
<tr>
<th class="colOne" scope="col">Constructor and Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html#Refs-java.util.Map-">Refs</a></span>(java.util.Map<<a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html" title="type parameter in Refs">T</a>,<a href="../../../../../../org/apache/cassandra/utils/concurrent/Ref.html" title="class in org.apache.cassandra.utils.concurrent">Ref</a><<a href="../../../../../../org/apache/cassandra/utils/concurrent/Refs.html" title="type parameter in Refs">T</a>>> references)</code> </td>
</tr>
</tbody>
</table>
</li>
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</li>
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| elisska/cloudera-cassandra | DATASTAX_CASSANDRA-3.5.0/javadoc/org/apache/cassandra/utils/concurrent/class-use/Ref.html | HTML | apache-2.0 | 25,557 |
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<h3 style="text-align:center;">Jed Fasso</h3>
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<h1 style="text-align:center;">7.3</h1>
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<h2 style="text-align:center;">6</h2>
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<h2 style="text-align:center;">1</h2>
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<h2 style="text-align:center;">16.67%</h2>
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$('.heats-all').click(function(){
$('.heats-all-stat').css('display', 'none')
$('#'+$(this).attr('id')+'-stat').css('display', 'block')
});
$('.heats-2016').click(function(){
$('.heats-2016-stat').css('display', 'none')
$('#'+$(this).attr('id')+'-stat').css('display', 'block')
});
$('document').ready(function(){
new Morris.Line({
// ID of the element in which to draw the chart.
element: 'avg_chart',
// Chart data records -- each entry in this array corresponds to a point on
// the chart.
data: [],
// The name of the data record attribute that contains x-values.
xkey: 'year',
// A list of names of data record attributes that contain y-values.
ykeys: ['avg', 'avg_all'],
// Labels for the ykeys -- will be displayed when you hover over the
// chart.
labels: ['Avg score in year', 'Avg score FST DATA']
});
new Morris.Bar({
// ID of the element in which to draw the chart.
element: 'heat_chart',
// Chart data records -- each entry in this array corresponds to a point on
// the chart.
data: [],
// The name of the data record attribute that contains x-values.
xkey: 'year',
// A list of names of data record attributes that contain y-values.
ykeys: ['heats', 'wins', 'percs'],
// Labels for the ykeys -- will be displayed when you hover over the
// chart.
labels: ['Heats surfed', 'Heats won', 'Winning percentage']
});
});
</script>
<script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+'://platform.twitter.com/widgets.js';fjs.parentNode.insertBefore(js,fjs);}}(document, 'script', 'twitter-wjs');</script>
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</body>
</html>
| chicofilho/fst | surfers/mqs/jfas.html | HTML | apache-2.0 | 11,861 |
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| serious6/HibernateSimpleProject | javadoc/hibernate_Doc/org/hibernate/result/internal/package-summary.html | HTML | apache-2.0 | 4,814 |
<html><head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8"><title>ContainerGadget3D</title></head>
<body bgcolor="#EFF1F0" link="#3A3966" vlink="#000000" alink="#000000">
<font face="Verdana, sans-serif" size="2"><p align="center"><b><font size="4">ContainerGadget3D()</font></b></p>
<p><b>语法</b></p><blockquote>
Result = <font color="#3A3966"><b>ContainerGadget3D</b></font>(#Gadget3D, x, y, Width, Height)</blockquote>
</blockquote>
<b>概要</b><br><blockquote>
Creates a container gadget in the current GadgetList. It's a simple panel gadget which
can contain other gadgets. Once the gadget is created,
all future created gadgets will be created inside the container. When all the needed
gadgets have been created, <a href="closegadgetlist3d.html">CloseGadgetList3D()</a> must be called to return to the
previous GadgetList. <a href="opengadgetlist3d.html">OpenGadgetList3D()</a> can be used later to add others gadgets
on the fly in the container area.
</blockquote><p><b>参数</b></p><blockquote>
<style type="text/css">
table.parameters { border-spacing: 0px; border-style: none; border-collapse: collapse; }
table.parameters td { border-width: 1px; padding: 6px; border-style: solid; border-color: gray; vertical-align: top; font-family:Arial; font-size:10pt; }
</style>
<table width="90%" class="parameters">
<tr><td width="10%"><i>#Gadget3D</i></td>
<td width="90%">
A number to identify the new 3D gadget. <a href="../reference/purebasic_objects.html">#PB_Any</a> 可以用来自动生成这个编码.
</td></tr>
<tr><td><i>x, y, Width, Height</i></td>
<td>
The position and dimensions of the new gadget.
</td></tr>
</table>
</blockquote><p><b>返回值</b></p><blockquote>
Nonzero on success, zero otherwise. If <font color="#924B72">#PB_Any</font> was used as the #Gadget3D parameter
then the return-value is the auto-generated gadget number on success.
</blockquote><p><b>备注</b></p><blockquote>
To add a 'mini help' to this gadget, use <a href="gadgettooltip3d.html">GadgetToolTip3D()</a>.
</Blockquote><p><b>已支持操作系统 </b><Blockquote>所有</Blockquote></p><center><- <a href=comboboxgadget3d.html>ComboBoxGadget3D()</a> - <a href="index.html">Gadget3D Index</a> - <a href="countgadgetitems3d.html">CountGadgetItems3D()</a> -><br><br>
</body></html> | PureBasicCN/PureBasicPreference | target_dir/documentation/gadget3d/containergadget3d.html | HTML | apache-2.0 | 2,360 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<!-- The above 3 meta tags *must* come first in the head; any other head content must come *after* these tags -->
<title>Crawling Result</title>
<!-- Bootstrap core CSS -->
<link href="css/bootstrap.min.css" rel="stylesheet">
<!-- IE10 viewport hack for Surface/desktop Windows 8 bug -->
<link href="css/ie10-viewport-bug-workaround.css" rel="stylesheet">
<!-- HTML5 shim and Respond.js for IE8 support of HTML5 elements and media queries -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
<style>
.row > div > img { max-width: 100%; height: auto; display: block; }
</style>
</head>
<body>
<div class="container">
<div class="page-header">
<h1>Crawling Result</h1>
</div>
<div id="summary">
<h3>Summary (<a href="state.html" target="_blank">State diagram</a>)</h3>
<div class="row">
<div class="col-md-4">Depth of crawling</div>
<div class="col-md-8"><span id="depth">2</span></div>
</div>
<div class="row">
<div class="col-md-4">Time elapsed</div>
<div class="col-md-8"><span id="time">0.97</span> minutes</div>
</div>
<div class="row">
<div class="col-md-4">Candidate clickables found</div>
<div class="col-md-8"><span id="total">20</span></div>
</div>
<div class="row">
<div class="col-md-1"></div>
<div class="col-md-3">Triggering</div>
<div class="col-md-8"><span id="true">8</span></div>
</div>
<div class="row">
<div class="col-md-1"></div>
<div class="col-md-3">Non-triggering</div>
<div class="col-md-8"><span id="false">12</span></div>
</div>
<div class="row">
<div class="col-md-1"></div>
<div class="col-md-3">Unexamined</div>
<div class="col-md-8"><span id="unexamined">0</span></div>
</div>
<div class="row">
<div class="col-md-4">Found forms</div>
<div class="col-md-8"><span id="form-summary">1</span></div>
</div>
<div class="row">
<div class="col-md-4">Violated invariants</div>
<div class="col-md-8"><span id="invariant-summary">2</span></div>
</div>
</div>
<div id="form">
<h3>Forms (<span id="form-header"></span>)</h3>
<div class="row">
<div class="col-md-4"><img src="http://placekitten.com/160/255"></div>
<div class="col-md-8">
state: 3, form-id: b2g-monkey-5 (xpath: //html/body/form[1]) <br />
input_value: <br />
type: text, id: id_username (xpath: //html/body/form[1]/p[1]/input[1]), value: pjshzzza <br />
type: password, id: id_password (xpath: //html/body/form[1]/p[2]/input[1]), value: !qaz2wsX <br />
path-to-form: <br />
id: b2g-monkey-3 (xpath: //html/body/p[3]/a[1]) <br />
clickables in the form: <br />
id: b2g-monkey-6 (xpath: //html/body/form[1]/p[3]/a[1]) <br />
id: b2g-monkey-7 (xpath: //html/body/form[1]/p[3]/button[1]) <br />
</div>
</div>
</div>
<div id="invariant">
<h3>Invariants (<span id="invariant-header"></span>)</h3>
<div class="row">
<div class="col-md-4"><img src="http://placekitten.com/160/255"></div>
<div class="col-md-8">
state: 2, violated invariant: {"name": "file-not-found"} <br />
execution sequence: <br />
id: b2g-monkey-2 (xpath: //html/body/p[2]/a[1]) <br />
</div>
</div>
</div>
<hr>
<p class="footer">(c) b2g-monkey</p>
</div> <!-- /container -->
<!-- jQuery (necessary for Bootstrap's JavaScript plugins) -->
<script src="js/jquery.min.js"></script>
<!-- Include all compiled plugins (below), or include individual files as needed -->
<script src="js/bootstrap.min.js"></script>
<!-- IE10 viewport hack for Surface/desktop Windows 8 bug -->
<script src="js/ie10-viewport-bug-workaround.js"></script>
<script>
$('#form-header').text($('#form-summary').text())
$('#invariant-header').text($('#invariant-summary').text())
</script>
</body>
</html> | jwlin/b2g-monkey | web/report.html | HTML | apache-2.0 | 4,630 |
<!DOCTYPE html>
<html lang="en">
<link rel="shortcut icon" href="img/favicon.png">
<head>
<meta charset="utf-8">
<meta http-equiv="X-Content-Security-Policy" content="default-src * 'unsafe-inline' 'unsafe-eval'">
<meta http-equiv="Content-Security-Policy" content="default-src * 'unsafe-inline' 'unsafe-eval'">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="The MAASU Spring Conference will be from April 7-8, 2017 at the University of Michigan in Ann Arbor.">
<meta name="author" content="Kelvin Tam">
<title>MAASU 2017 | University of Michigan</title>
<!-- Bootstrap Core CSS -->
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<![endif]-->
</head>
<body id="page-top" data-spy="scroll" data-target=".navbar-fixed-top">
<!--=== PAGE PRELOADER ===-->
<div id="page-loader"><span class="page-loader-gif"></span></div>
<!-- Navigation -->
<nav class="navbar navbar-custom navbar-fixed-top top-nav-collapse" role="navigation">
<div class="container">
<div class="navbar-header">
<button type="button" class="navbar-toggle" data-toggle="collapse" data-target=".navbar-main-collapse">
<i class="fa fa-bars"></i>
</button>
<a class="navbar-brand page-scroll" href="#page-top">
<i class="fa fa-hashtag"></i>United<span class="light">We</span>Stand
</a>
</div>
<!-- Collect the nav links, forms, and other content for toggling -->
<div class="collapse navbar-collapse navbar-right navbar-main-collapse">
<ul class="nav navbar-nav">
<!-- Hidden li included to remove active class from about link when scrolled up past about section -->
<li class="hidden">
<a href="#page-top"></a>
</li>
<li>
<a href="#page-top">About</a>
</li>
<li>
<a href="./schedule">Schedule</a>
</li>
<li>
<a href="./board">The Board</a>
</li>
<li>
<a href="./workshops">Workshops</a>
</li>
<li>
<a href="./contact">Contact</a>
</li>
<li>
<a href="./sponsors">Sponsors</a>
</li>
<li>
<a href="./survey">Survey</a>
</li>
<li>
<a href="./img/campusmap.pdf" download>Map</a>
</li>
</ul>
</div>
<!-- /.navbar-collapse -->
</div>
<!-- /.container -->
</nav>
<section id="about" class="container content-section text-center about">
<div class="row">
<div class="col-xs-12 big_logo">
<img src="img/big_logo.png" style="max-width: 99%"/>
</div>
</div>
<!-- <h2 class="section-title gray scrollimation scale-in">Who we are<i class="fa fa-university"></i></h2> -->
<div class="row about-row">
<div class="col-xs-12">
<h4 class="section-header center">Spring Conference 2017</h4>
<p class="about-font center"><hr>University of Michigan |
April 7 - April 8<br/><hr>
Banquet is located at: <br/>
46100 Grand River Ave.</br>
Novi, MI 48374</p>
</div>
</div>
<div class="row gray-row about-row">
<div class="col-xs-12">
<h4 class="section-header center">The Theme</h4>
<p class="about-font center">
As one of MAASU's missions is to "unite and strengthen the A/PIA community's stance against all forms of oppression," #UnitedWeStand is aimed towards uniting the A/PIA community with one another to discover the history of our roots and our identities that serve as the grounds of current social justice movements. The conference aims to provide an inclusive space where we are able to strengthen our connections with other people of color and people with diverse religions, abilities, sexualities, and experiences, to unite for the common causes of intersectionality and bettering the quality of our lives.</p>
</div>
<div class="col-xs-12">
<img src="img/maasu-logo.png" style="max-width: 50%"/>
</div>
</div>
<div class="row about-row">
<div class="col-xs-12">
<h4 class="section-header center">The University of Michigan</h4>
<p class="about-font center">Founded in 1817, the University of Michigan (UM or UMich) has had a long history of excellence both inside and outside the classroom. According to the 2015 U.S. World News and Report, UM is ranked fourth best among public universities across the country. The university consists of a robust, diverse undergraduate community of over 25,000 students, a third of which are students of color. The Asian/Pacific Islander American (A/PIA) student population hovers around 14% every year. As a college town, Ann Arbor is a lively and instructive conduit for students to learn and grow. UM has fostered a long and supportive relationship with Midwest Asian American Student Union (MAASU), having hosted the MAASU spring conference seven times in the past. The most recent time was in 2013, when registration peaked over 980 participants.</p>
</div>
<div class="col-xs-12 logos">
<img src="img/um-logo.png" style="max-width: 50%"/>
</div>
</div>
<div class="row gray-row about-row">
<div class="col-xs-12">
<h4 class="section-header center">United Asian American Organizations</h4>
<p class="about-font center">The United Asian American Organizations (UAAO) was established to work in unity to provide education on issues facing Asian Pacific Islander Americans. We promote awareness of A/PIA cultures and establish a communication core for the A/PIA organizations and individuals at the University of Michigan in Ann Arbor. UAAO is a coalition of about 20 A/PIA organizations on the University of Michigan campus. UAAO participants are diverse in heritage and culture, each with a unique background and intersection of identities. UAAO provides a forum for discussion regarding social issues surrounding the A/PIA community and acts as a liaison between member organizations and external organizations.</p>
</div>
<div class="col-xs-12 logos">
<img src="img/uaao-logo.png" style="max-width: 50%"/>
</div>
</div>
</section>
<!-- Footer -->
<footer>
<div class="container footer center">
<div class="footer-brand">
<i class="fa fa-hashtag"></i> United<span class="light">We</span>Stand
</div>
<nav class="navbar" role="navigation">
<ul class="nav navbar-nav">
<!-- Hidden li included to remove active class from about link when scrolled up past about section -->
<li class="hidden">
<a href="#page-top"></a>
</li>
<li>
<a href="#page-top">About</a>
</li>
<li>
<a href="./schedule">Schedule</a>
</li>
<li>
<a href="./board">The Board</a>
</li>
<li>
<a href="./workshops">Workshops</a>
</li>
<li>
<a href="./contact">Contact</a>
</li>
<li>
<a href="./sponsors">Sponsors</a>
</li>
<li>
<a href="./survey">Survey</a>
</li>
<li>
<a href="./img/campusmap.pdf" download>Map</a>
</li>
</ul>
</nav>
<p class="center">Copyright © Midwest Asian American Students Union </p>
</div>
</footer>
</body>
<!-- jQuery -->
<script src="js/jquery.js"></script>
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<script src="js/bootstrap.min.js"></script>
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<h1 title="Package" class="title">Package org.apache.hadoop.hbase.mapreduce</h1>
<div class="docSummary">
<div class="block">Provides HBase <a href="http://wiki.apache.org/hadoop/HadoopMapReduce">MapReduce</a>
Input/OutputFormats, a table indexing MapReduce job, and utility</div>
</div>
<p>See: <a href="#package_description">Description</a></p>
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<th class="colFirst" scope="col">Interface</th>
<th class="colLast" scope="col">Description</th>
</tr>
<tbody>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/VisibilityExpressionResolver.html" title="interface in org.apache.hadoop.hbase.mapreduce">VisibilityExpressionResolver</a></td>
<td class="colLast">
<div class="block">Interface to convert visibility expressions into Tags for storing along with Cells in HFiles.</div>
</td>
</tr>
</tbody>
</table>
</li>
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<table class="packageSummary" border="0" cellpadding="3" cellspacing="0" summary="Class Summary table, listing classes, and an explanation">
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<th class="colFirst" scope="col">Class</th>
<th class="colLast" scope="col">Description</th>
</tr>
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<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/CellCounter.html" title="class in org.apache.hadoop.hbase.mapreduce">CellCounter</a></td>
<td class="colLast">
<div class="block">A job with a a map and reduce phase to count cells in a table.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/CellCreator.html" title="class in org.apache.hadoop.hbase.mapreduce">CellCreator</a></td>
<td class="colLast">
<div class="block">Facade to create Cells for HFileOutputFormat.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/CopyTable.html" title="class in org.apache.hadoop.hbase.mapreduce">CopyTable</a></td>
<td class="colLast">
<div class="block">Tool used to copy a table to another one which can be on a different setup.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/Driver.html" title="class in org.apache.hadoop.hbase.mapreduce">Driver</a></td>
<td class="colLast">
<div class="block">Driver for hbase mapreduce jobs.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/Export.html" title="class in org.apache.hadoop.hbase.mapreduce">Export</a></td>
<td class="colLast">
<div class="block">Export an HBase table.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/GroupingTableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce">GroupingTableMapper</a></td>
<td class="colLast">
<div class="block">Extract grouping columns from input record.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/HFileOutputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">HFileOutputFormat</a></td>
<td class="colLast">Deprecated
<div class="block"><i>use <a href="../../../../../org/apache/hadoop/hbase/mapreduce/HFileOutputFormat2.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>HFileOutputFormat2</code></a> instead.</i></div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/HFileOutputFormat2.html" title="class in org.apache.hadoop.hbase.mapreduce">HFileOutputFormat2</a></td>
<td class="colLast">
<div class="block">Writes HFiles.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/HLogInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">HLogInputFormat</a></td>
<td class="colLast">
<div class="block">Simple <code>InputFormat</code> for <code>HLog</code> files.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/HRegionPartitioner.html" title="class in org.apache.hadoop.hbase.mapreduce">HRegionPartitioner</a><KEY,VALUE></td>
<td class="colLast">
<div class="block">This is used to partition the output keys into groups of keys.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/IdentityTableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce">IdentityTableMapper</a></td>
<td class="colLast">
<div class="block">Pass the given key and record as-is to the reduce phase.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/IdentityTableReducer.html" title="class in org.apache.hadoop.hbase.mapreduce">IdentityTableReducer</a></td>
<td class="colLast">
<div class="block">Convenience class that simply writes all values (which must be
<a href="../../../../../org/apache/hadoop/hbase/client/Put.html" title="class in org.apache.hadoop.hbase.client"><code>Put</code></a> or
<a href="../../../../../org/apache/hadoop/hbase/client/Delete.html" title="class in org.apache.hadoop.hbase.client"><code>Delete</code></a> instances)
passed to it out to the configured HBase table.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/Import.html" title="class in org.apache.hadoop.hbase.mapreduce">Import</a></td>
<td class="colLast">
<div class="block">Import data written by <a href="../../../../../org/apache/hadoop/hbase/mapreduce/Export.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>Export</code></a>.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/ImportTsv.html" title="class in org.apache.hadoop.hbase.mapreduce">ImportTsv</a></td>
<td class="colLast">
<div class="block">Tool to import data from a TSV file.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/KeyValueSortReducer.html" title="class in org.apache.hadoop.hbase.mapreduce">KeyValueSortReducer</a></td>
<td class="colLast">
<div class="block">Emits sorted KeyValues.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/LoadIncrementalHFiles.html" title="class in org.apache.hadoop.hbase.mapreduce">LoadIncrementalHFiles</a></td>
<td class="colLast">
<div class="block">Tool to load the output of HFileOutputFormat into an existing table.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/MultiTableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">MultiTableInputFormat</a></td>
<td class="colLast">
<div class="block">Convert HBase tabular data from multiple scanners into a format that
is consumable by Map/Reduce.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/MultiTableInputFormatBase.html" title="class in org.apache.hadoop.hbase.mapreduce">MultiTableInputFormatBase</a></td>
<td class="colLast">
<div class="block">A base for <a href="../../../../../org/apache/hadoop/hbase/mapreduce/MultiTableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>MultiTableInputFormat</code></a>s.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/MultiTableOutputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">MultiTableOutputFormat</a></td>
<td class="colLast">
<div class="block">
Hadoop output format that writes to one or more HBase tables.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/PutCombiner.html" title="class in org.apache.hadoop.hbase.mapreduce">PutCombiner</a><K></td>
<td class="colLast">
<div class="block">Combine Puts.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/PutSortReducer.html" title="class in org.apache.hadoop.hbase.mapreduce">PutSortReducer</a></td>
<td class="colLast">
<div class="block">Emits sorted Puts.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/RowCounter.html" title="class in org.apache.hadoop.hbase.mapreduce">RowCounter</a></td>
<td class="colLast">
<div class="block">A job with a just a map phase to count rows.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/SimpleTotalOrderPartitioner.html" title="class in org.apache.hadoop.hbase.mapreduce">SimpleTotalOrderPartitioner</a><VALUE></td>
<td class="colLast">
<div class="block">A partitioner that takes start and end keys and uses bigdecimal to figure
which reduce a key belongs to.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">TableInputFormat</a></td>
<td class="colLast">
<div class="block">Convert HBase tabular data into a format that is consumable by Map/Reduce.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableInputFormatBase.html" title="class in org.apache.hadoop.hbase.mapreduce">TableInputFormatBase</a></td>
<td class="colLast">
<div class="block">A base for <a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableInputFormat</code></a>s.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce">TableMapper</a><KEYOUT,VALUEOUT></td>
<td class="colLast">
<div class="block">Extends the base <code>Mapper</code> class to add the required input key
and value classes.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableMapReduceUtil.html" title="class in org.apache.hadoop.hbase.mapreduce">TableMapReduceUtil</a></td>
<td class="colLast">
<div class="block">Utility for <a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableMapper</code></a> and <a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableReducer.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableReducer</code></a></div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableOutputCommitter.html" title="class in org.apache.hadoop.hbase.mapreduce">TableOutputCommitter</a></td>
<td class="colLast">
<div class="block">Small committer class that does not do anything.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableOutputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">TableOutputFormat</a><KEY></td>
<td class="colLast">
<div class="block">Convert Map/Reduce output and write it to an HBase table.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableRecordReader.html" title="class in org.apache.hadoop.hbase.mapreduce">TableRecordReader</a></td>
<td class="colLast">
<div class="block">Iterate over an HBase table data, return (ImmutableBytesWritable, Result)
pairs.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableRecordReaderImpl.html" title="class in org.apache.hadoop.hbase.mapreduce">TableRecordReaderImpl</a></td>
<td class="colLast">
<div class="block">Iterate over an HBase table data, return (ImmutableBytesWritable, Result)
pairs.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableReducer.html" title="class in org.apache.hadoop.hbase.mapreduce">TableReducer</a><KEYIN,VALUEIN,KEYOUT></td>
<td class="colLast">
<div class="block">Extends the basic <code>Reducer</code> class to add the required key and
value input/output classes.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableSnapshotInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce">TableSnapshotInputFormat</a></td>
<td class="colLast">
<div class="block">TableSnapshotInputFormat allows a MapReduce job to run over a table snapshot.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableSplit.html" title="class in org.apache.hadoop.hbase.mapreduce">TableSplit</a></td>
<td class="colLast">
<div class="block">A table split corresponds to a key range (low, high) and an optional scanner.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TextSortReducer.html" title="class in org.apache.hadoop.hbase.mapreduce">TextSortReducer</a></td>
<td class="colLast">
<div class="block">Emits Sorted KeyValues.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TsvImporterMapper.html" title="class in org.apache.hadoop.hbase.mapreduce">TsvImporterMapper</a></td>
<td class="colLast">
<div class="block">Write table content out to files in hdfs.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/TsvImporterTextMapper.html" title="class in org.apache.hadoop.hbase.mapreduce">TsvImporterTextMapper</a></td>
<td class="colLast">
<div class="block">Write table content out to map output files.</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><a href="../../../../../org/apache/hadoop/hbase/mapreduce/WALPlayer.html" title="class in org.apache.hadoop.hbase.mapreduce">WALPlayer</a></td>
<td class="colLast">
<div class="block">A tool to replay WAL files as a M/R job.</div>
</td>
</tr>
</tbody>
</table>
</li>
</ul>
<a name="package_description">
<!-- -->
</a>
<h2 title="Package org.apache.hadoop.hbase.mapreduce Description">Package org.apache.hadoop.hbase.mapreduce Description</h2>
<div class="block">Provides HBase <a href="http://wiki.apache.org/hadoop/HadoopMapReduce">MapReduce</a>
Input/OutputFormats, a table indexing MapReduce job, and utility
<h2>Table of Contents</h2>
<ul>
<li><a href="#classpath">HBase, MapReduce and the CLASSPATH</a></li>
<li><a href="#driver">Bundled HBase MapReduce Jobs</a></li>
<li><a href="#sink">HBase as MapReduce job data source and sink</a></li>
<li><a href="#bulk">Bulk Import writing HFiles directly</a></li>
<li><a href="#examples">Example Code</a></li>
</ul>
<h2><a name="classpath">HBase, MapReduce and the CLASSPATH</a></h2>
<p>MapReduce jobs deployed to a MapReduce cluster do not by default have access
to the HBase configuration under <code>$HBASE_CONF_DIR</code> nor to HBase classes.
You could add <code>hbase-site.xml</code> to
<code>$HADOOP_HOME/conf</code> and add
HBase jars to the <code>$HADOOP_HOME/lib</code> and copy these
changes across your cluster (or edit conf/hadoop-env.sh and add them to the
<code>HADOOP_CLASSPATH</code> variable) but this will pollute your
hadoop install with HBase references; its also obnoxious requiring restart of
the hadoop cluster before it'll notice your HBase additions.</p>
<p>As of 0.90.x, HBase will just add its dependency jars to the job
configuration; the dependencies just need to be available on the local
<code>CLASSPATH</code>. For example, to run the bundled HBase
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/RowCounter.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>RowCounter</code></a> mapreduce job against a table named <code>usertable</code>,
type:
<blockquote><pre>
$ HADOOP_CLASSPATH=`${HBASE_HOME}/bin/hbase classpath` ${HADOOP_HOME}/bin/hadoop jar ${HBASE_HOME}/hbase-0.90.0.jar rowcounter usertable
</pre></blockquote>
Expand <code>$HBASE_HOME</code> and <code>$HADOOP_HOME</code> in the above
appropriately to suit your local environment. The content of <code>HADOOP_CLASSPATH</code>
is set to the HBase <code>CLASSPATH</code> via backticking the command
<code>${HBASE_HOME}/bin/hbase classpath</code>.
<p>When the above runs, internally, the HBase jar finds its zookeeper and
<a href="http://code.google.com/p/guava-libraries/">guava</a>,
etc., dependencies on the passed
</code>HADOOP_CLASSPATH</code> and adds the found jars to the mapreduce
job configuration. See the source at
<code>TableMapReduceUtil#addDependencyJars(org.apache.hadoop.mapreduce.Job)</code>
for how this is done.
</p>
<p>The above may not work if you are running your HBase from its build directory;
i.e. you've done <code>$ mvn test install</code> at
<code>${HBASE_HOME}</code> and you are now
trying to use this build in your mapreduce job. If you get
<blockquote><pre>java.lang.RuntimeException: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.RowCounter$RowCounterMapper
...
</pre></blockquote>
exception thrown, try doing the following:
<blockquote><pre>
$ HADOOP_CLASSPATH=${HBASE_HOME}/target/hbase-0.90.0-SNAPSHOT.jar:`${HBASE_HOME}/bin/hbase classpath` ${HADOOP_HOME}/bin/hadoop jar ${HBASE_HOME}/target/hbase-0.90.0-SNAPSHOT.jar rowcounter usertable
</pre></blockquote>
Notice how we preface the backtick invocation setting
<code>HADOOP_CLASSPATH</code> with reference to the built HBase jar over in
the <code>target</code> directory.
</p>
<h2><a name="driver">Bundled HBase MapReduce Jobs</a></h2>
<p>The HBase jar also serves as a Driver for some bundled mapreduce jobs. To
learn about the bundled mapreduce jobs run:
<blockquote><pre>
$ ${HADOOP_HOME}/bin/hadoop jar ${HBASE_HOME}/hbase-0.90.0-SNAPSHOT.jar
An example program must be given as the first argument.
Valid program names are:
copytable: Export a table from local cluster to peer cluster
completebulkload: Complete a bulk data load.
export: Write table data to HDFS.
import: Import data written by Export.
importtsv: Import data in TSV format.
rowcounter: Count rows in HBase table
</pre></blockquote>
<h2><a name="sink">HBase as MapReduce job data source and sink</a></h2>
<p>HBase can be used as a data source, <a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableInputFormat</code></a>,
and data sink, <a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableOutputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableOutputFormat</code></a>
or <a href="../../../../../org/apache/hadoop/hbase/mapreduce/MultiTableOutputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>MultiTableOutputFormat</code></a>,
for MapReduce jobs.
Writing MapReduce jobs that read or write HBase, you'll probably want to subclass
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableMapper</code></a> and/or
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableReducer.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableReducer</code></a>. See the do-nothing
pass-through classes <a href="../../../../../org/apache/hadoop/hbase/mapreduce/IdentityTableMapper.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>IdentityTableMapper</code></a> and
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/IdentityTableReducer.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>IdentityTableReducer</code></a> for basic usage. For a more
involved example, see <a href="../../../../../org/apache/hadoop/hbase/mapreduce/RowCounter.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>RowCounter</code></a>
or review the <code>org.apache.hadoop.hbase.mapreduce.TestTableMapReduce</code> unit test.
</p>
<p>Running mapreduce jobs that have HBase as source or sink, you'll need to
specify source/sink table and column names in your configuration.</p>
<p>Reading from HBase, the TableInputFormat asks HBase for the list of
regions and makes a map-per-region or <code>mapred.map.tasks maps</code>,
whichever is smaller (If your job only has two maps, up mapred.map.tasks
to a number > number of regions). Maps will run on the adjacent TaskTracker
if you are running a TaskTracer and RegionServer per node.
Writing, it may make sense to avoid the reduce step and write yourself back into
HBase from inside your map. You'd do this when your job does not need the sort
and collation that mapreduce does on the map emitted data; on insert,
HBase 'sorts' so there is no point double-sorting (and shuffling data around
your mapreduce cluster) unless you need to. If you do not need the reduce,
you might just have your map emit counts of records processed just so the
framework's report at the end of your job has meaning or set the number of
reduces to zero and use TableOutputFormat. See example code
below. If running the reduce step makes sense in your case, its usually better
to have lots of reducers so load is spread across the HBase cluster.</p>
<p>There is also a new HBase partitioner that will run as many reducers as
currently existing regions. The
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/HRegionPartitioner.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>HRegionPartitioner</code></a> is suitable
when your table is large and your upload is not such that it will greatly
alter the number of existing regions when done; otherwise use the default
partitioner.
</p>
<h2><a name="bulk">Bulk import writing HFiles directly</a></h2>
<p>If importing into a new table, its possible to by-pass the HBase API
and write your content directly to the filesystem properly formatted as
HBase data files (HFiles). Your import will run faster, perhaps an order of
magnitude faster if not more. For more on how this mechanism works, see
<a href="http://hbase.apache.org/bulk-loads.html">Bulk Loads</code>
documentation.
</p>
<h2><a name="examples">Example Code</a></h2>
<h3>Sample Row Counter</h3>
<p>See <a href="../../../../../org/apache/hadoop/hbase/mapreduce/RowCounter.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>RowCounter</code></a>. This job uses
<a href="../../../../../org/apache/hadoop/hbase/mapreduce/TableInputFormat.html" title="class in org.apache.hadoop.hbase.mapreduce"><code>TableInputFormat</code></a> and
does a count of all rows in specified table.
You should be able to run
it by doing: <code>% ./bin/hadoop jar hbase-X.X.X.jar</code>. This will invoke
the hbase MapReduce Driver class. Select 'rowcounter' from the choice of jobs
offered. This will emit rowcouner 'usage'. Specify tablename, column to count
and output directory. You may need to add the hbase conf directory to <code>$HADOOP_HOME/conf/hadoop-env.sh#HADOOP_CLASSPATH</code>
so the rowcounter gets pointed at the right hbase cluster (or, build a new jar
with an appropriate hbase-site.xml built into your job jar).
</p></div>
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<div class="subTitle">com.imie.component.form</div>
<h2 title="Class ProductEditor" class="title">Class ProductEditor</h2>
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<ul class="inheritance">
<li>java.lang.Object</li>
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<dd>com.vaadin.event.LayoutEvents.LayoutClickNotifier, com.vaadin.event.MethodEventSource, com.vaadin.server.ClientConnector, com.vaadin.server.Sizeable, com.vaadin.shared.Connector, com.vaadin.ui.Component, com.vaadin.ui.ComponentContainer, com.vaadin.ui.HasComponents, com.vaadin.ui.HasComponents.ComponentAttachDetachNotifier, com.vaadin.ui.Layout, com.vaadin.ui.Layout.AlignmentHandler, com.vaadin.ui.Layout.MarginHandler, com.vaadin.ui.Layout.SpacingHandler, java.io.Serializable, java.lang.Iterable<com.vaadin.ui.Component></dd>
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<pre>@SpringComponent
@UIScope
public class <span class="typeNameLabel">ProductEditor</span>
extends com.vaadin.ui.VerticalLayout</pre>
<div class="block"><b>Product Form Editor Class</b></div>
<dl>
<dt><span class="simpleTagLabel">Version:</span></dt>
<dd>1.0</dd>
<dt><span class="simpleTagLabel">Author:</span></dt>
<dd>kevin boussard</dd>
<dt><span class="seeLabel">See Also:</span></dt>
<dd><a href="../../../../serialized-form.html#com.imie.component.form.ProductEditor">Serialized Form</a></dd>
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<td class="colFirst"><code>static interface </code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../com/imie/component/form/ProductEditor.ChangeHandler.html" title="interface in com.imie.component.form">ProductEditor.ChangeHandler</a></span></code> </td>
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<td class="colOne"><code><span class="memberNameLink"><a href="../../../../com/imie/component/form/ProductEditor.html#ProductEditor-com.imie.component.repository.ProductRepository-">ProductEditor</a></span>(<a href="../../../../com/imie/component/repository/ProductRepository.html" title="interface in com.imie.component.repository">ProductRepository</a> repository)</code> </td>
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<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../com/imie/component/form/ProductEditor.html#editProduct-com.imie.component.entity.Product-">editProduct</a></span>(<a href="../../../../com/imie/component/entity/Product.html" title="class in com.imie.component.entity">Product</a> p)</code> </td>
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<tr id="i1" class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../com/imie/component/form/ProductEditor.html#setChangeHandler-com.imie.component.form.ProductEditor.ChangeHandler-">setChangeHandler</a></span>(<a href="../../../../com/imie/component/form/ProductEditor.ChangeHandler.html" title="interface in com.imie.component.form">ProductEditor.ChangeHandler</a> h)</code> </td>
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<code>addListener, addStyleName, attach, getCaption, getDescription, getIcon, getId, getLocale, getParent, getPrimaryStyleName, getStyleName, getUI, isEnabled, isReadOnly, isVisible, removeListener, removeStyleName, setCaption, setEnabled, setIcon, setId, setParent, setPrimaryStyleName, setReadOnly, setStyleName, setVisible</code></li>
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<td class="colFirst"><code><a href="../../../../edu/umn/biomedicus/common/tuples/WordCap.html" title="type parameter in WordCap">WordCap</a></code></td>
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<pre>public <a href="../../../../edu/umn/biomedicus/common/tuples/WordCap.html" title="type parameter in WordCap">WordCap</a> apply()</pre>
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DeleteUserRequest (AWS SDK for Java - 1.4.7)
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com.amazonaws.services.identitymanagement.model</FONT>
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Class DeleteUserRequest</H2>
<PRE>
<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">java.lang.Object</A>
<IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html" title="class in com.amazonaws">com.amazonaws.AmazonWebServiceRequest</A>
<IMG SRC="../../../../../resources/inherit.gif" ALT="extended by "><B>com.amazonaws.services.identitymanagement.model.DeleteUserRequest</B>
</PRE>
<DL>
<DT><B>All Implemented Interfaces:</B> <DD><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/io/Serializable.html?is-external=true" title="class or interface in java.io">Serializable</A></DD>
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<DT><PRE>public class <B>DeleteUserRequest</B><DT>extends <A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html" title="class in com.amazonaws">AmazonWebServiceRequest</A><DT>implements <A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/io/Serializable.html?is-external=true" title="class or interface in java.io">Serializable</A></DL>
</PRE>
<P>
Container for the parameters to the <A HREF="../../../../../com/amazonaws/services/identitymanagement/AmazonIdentityManagement.html#deleteUser(com.amazonaws.services.identitymanagement.model.DeleteUserRequest)"><CODE>DeleteUser operation</CODE></A>.
<p>
Deletes the specified user. The user must not belong to any groups, have any keys or signing certificates, or have any attached policies.
</p>
<P>
<P>
<DL>
<DT><B>See Also:</B><DD><A HREF="../../../../../com/amazonaws/services/identitymanagement/AmazonIdentityManagement.html#deleteUser(com.amazonaws.services.identitymanagement.model.DeleteUserRequest)"><CODE>AmazonIdentityManagement.deleteUser(DeleteUserRequest)</CODE></A>,
<A HREF="../../../../../serialized-form.html#com.amazonaws.services.identitymanagement.model.DeleteUserRequest">Serialized Form</A></DL>
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<!-- ======== CONSTRUCTOR SUMMARY ======== -->
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<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#DeleteUserRequest()">DeleteUserRequest</A></B>()</CODE>
<BR>
Default constructor for a new DeleteUserRequest object.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#DeleteUserRequest(java.lang.String)">DeleteUserRequest</A></B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</CODE>
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Constructs a new DeleteUserRequest object.</TD>
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<CODE> boolean</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#equals(java.lang.Object)">equals</A></B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</A> obj)</CODE>
<BR>
</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#getUserName()">getUserName</A></B>()</CODE>
<BR>
Name of the user to delete.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> int</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#hashCode()">hashCode</A></B>()</CODE>
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<CODE> void</CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#setUserName(java.lang.String)">setUserName</A></B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</CODE>
<BR>
Name of the user to delete.</TD>
</TR>
<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#toString()">toString</A></B>()</CODE>
<BR>
Returns a string representation of this object; useful for testing and
debugging.</TD>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD ALIGN="right" VALIGN="top" WIDTH="1%"><FONT SIZE="-1">
<CODE> <A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html" title="class in com.amazonaws.services.identitymanagement.model">DeleteUserRequest</A></CODE></FONT></TD>
<TD><CODE><B><A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html#withUserName(java.lang.String)">withUserName</A></B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</CODE>
<BR>
Name of the user to delete.</TD>
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<TH ALIGN="left"><B>Methods inherited from class com.amazonaws.<A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html" title="class in com.amazonaws">AmazonWebServiceRequest</A></B></TH>
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<TR BGCOLOR="white" CLASS="TableRowColor">
<TD><CODE><A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html#copyPrivateRequestParameters()">copyPrivateRequestParameters</A>, <A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html#getRequestClientOptions()">getRequestClientOptions</A>, <A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html#getRequestCredentials()">getRequestCredentials</A>, <A HREF="../../../../../com/amazonaws/AmazonWebServiceRequest.html#setRequestCredentials(com.amazonaws.auth.AWSCredentials)">setRequestCredentials</A></CODE></TD>
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<!-- ========= CONSTRUCTOR DETAIL ======== -->
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<A NAME="DeleteUserRequest()"><!-- --></A><H3>
DeleteUserRequest</H3>
<PRE>
public <B>DeleteUserRequest</B>()</PRE>
<DL>
<DD>Default constructor for a new DeleteUserRequest object. Callers should use the
setter or fluent setter (with...) methods to initialize this object after creating it.
<P>
</DL>
<HR>
<A NAME="DeleteUserRequest(java.lang.String)"><!-- --></A><H3>
DeleteUserRequest</H3>
<PRE>
public <B>DeleteUserRequest</B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</PRE>
<DL>
<DD>Constructs a new DeleteUserRequest object.
Callers should use the setter or fluent setter (with...) methods to
initialize any additional object members.
<P>
<DL>
<DT><B>Parameters:</B><DD><CODE>userName</CODE> - Name of the user to delete.</DL>
</DL>
<!-- ============ METHOD DETAIL ========== -->
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<A NAME="getUserName()"><!-- --></A><H3>
getUserName</H3>
<PRE>
public <A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> <B>getUserName</B>()</PRE>
<DL>
<DD>Name of the user to delete.
<p>
<b>Constraints:</b><br/>
<b>Length: </b>1 - 128<br/>
<b>Pattern: </b>[\w+=,.@-]*<br/>
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>Name of the user to delete.</DL>
</DD>
</DL>
<HR>
<A NAME="setUserName(java.lang.String)"><!-- --></A><H3>
setUserName</H3>
<PRE>
public void <B>setUserName</B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</PRE>
<DL>
<DD>Name of the user to delete.
<p>
<b>Constraints:</b><br/>
<b>Length: </b>1 - 128<br/>
<b>Pattern: </b>[\w+=,.@-]*<br/>
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>userName</CODE> - Name of the user to delete.</DL>
</DD>
</DL>
<HR>
<A NAME="withUserName(java.lang.String)"><!-- --></A><H3>
withUserName</H3>
<PRE>
public <A HREF="../../../../../com/amazonaws/services/identitymanagement/model/DeleteUserRequest.html" title="class in com.amazonaws.services.identitymanagement.model">DeleteUserRequest</A> <B>withUserName</B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> userName)</PRE>
<DL>
<DD>Name of the user to delete.
<p>
Returns a reference to this object so that method calls can be chained together.
<p>
<b>Constraints:</b><br/>
<b>Length: </b>1 - 128<br/>
<b>Pattern: </b>[\w+=,.@-]*<br/>
<P>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>userName</CODE> - Name of the user to delete.
<DT><B>Returns:</B><DD>A reference to this updated object so that method calls can be chained
together.</DL>
</DD>
</DL>
<HR>
<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public <A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</A> <B>toString</B>()</PRE>
<DL>
<DD>Returns a string representation of this object; useful for testing and
debugging.
<P>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang">toString</A></CODE> in class <CODE><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>A string representation of this object.<DT><B>See Also:</B><DD><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true#toString()" title="class or interface in java.lang"><CODE>Object.toString()</CODE></A></DL>
</DD>
</DL>
<HR>
<A NAME="hashCode()"><!-- --></A><H3>
hashCode</H3>
<PRE>
public int <B>hashCode</B>()</PRE>
<DL>
<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true#hashCode()" title="class or interface in java.lang">hashCode</A></CODE> in class <CODE><A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</A></CODE></DL>
</DD>
<DD><DL>
</DL>
</DD>
</DL>
<HR>
<A NAME="equals(java.lang.Object)"><!-- --></A><H3>
equals</H3>
<PRE>
public boolean <B>equals</B>(<A HREF="http://java.sun.com/j2se/1.5.0/docs/api/java/lang/Object.html?is-external=true" title="class or interface in java.lang">Object</A> obj)</PRE>
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<h1 class="aui-h2-clover">
Test testAbaNumberCheck_13699_good
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<a href="../../../../../com/cardatechnologies/utils/validators/abaroutevalidator/Test_AbaRouteValidator_07.html?line=30040#src-30040" >testAbaNumberCheck_13699_good</a>
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7 Aug 12:36:47
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<span class="sortValue">0.7352941</span>73.5%
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<pre>public class <span class="typeNameLabel">KHRCLEvent2</span>
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<td class="colFirst"><code>static long</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../org/lwjgl/egl/KHRCLEvent2.html#eglCreateSync64KHR-long-int-org.lwjgl.PointerBuffer-">eglCreateSync64KHR</a></span>(long dpy,
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<h4>EGL_CL_EVENT_HANDLE_KHR</h4>
<pre>public static final int EGL_CL_EVENT_HANDLE_KHR</pre>
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<pre>public static final int EGL_SYNC_CL_EVENT_KHR</pre>
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<pre>public static final int EGL_SYNC_CL_EVENT_COMPLETE_KHR</pre>
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<pre>public static long eglCreateSync64KHR(long dpy,
int type,
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<h2 title="Uses of Interface se.litsec.eidas.opensaml.ext.attributes.address.PostName" class="title">Uses of Interface<br>se.litsec.eidas.opensaml.ext.attributes.address.PostName</h2>
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<caption><span>Packages that use <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a></span><span class="tabEnd"> </span></caption>
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<th class="colFirst" scope="col">Package</th>
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<td class="colFirst"><a href="#se.litsec.eidas.opensaml.ext.attributes.address.impl">se.litsec.eidas.opensaml.ext.attributes.address.impl</a></td>
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<div class="block">Implementation classes for the supporting types of the eIDAS <code>CurrentAddressStructuredType</code>.</div>
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<h3>Uses of <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a> in <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/package-summary.html">se.litsec.eidas.opensaml.ext.attributes.address.impl</a></h3>
<table class="useSummary" border="0" cellpadding="3" cellspacing="0" summary="Use table, listing classes, and an explanation">
<caption><span>Classes in <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/package-summary.html">se.litsec.eidas.opensaml.ext.attributes.address.impl</a> that implement <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a></span><span class="tabEnd"> </span></caption>
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<td class="colFirst"><code>class </code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/PostNameImpl.html" title="class in se.litsec.eidas.opensaml.ext.attributes.address.impl">PostNameImpl</a></span></code>
<div class="block">Implementation of <code>PostName</code>.</div>
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<caption><span>Methods in <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/package-summary.html">se.litsec.eidas.opensaml.ext.attributes.address.impl</a> that return <a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a></span><span class="tabEnd"> </span></caption>
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<td class="colFirst"><code><a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a></code></td>
<td class="colLast"><span class="typeNameLabel">PostNameBuilder.</span><code><span class="memberNameLink"><a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/PostNameBuilder.html#buildObject--">buildObject</a></span>()</code></td>
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<td class="colFirst"><code><a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/PostName.html" title="interface in se.litsec.eidas.opensaml.ext.attributes.address">PostName</a></code></td>
<td class="colLast"><span class="typeNameLabel">PostNameBuilder.</span><code><span class="memberNameLink"><a href="../../../../../../../../se/litsec/eidas/opensaml/ext/attributes/address/impl/PostNameBuilder.html#buildObject-java.lang.String-java.lang.String-java.lang.String-">buildObject</a></span>(<a href="http://docs.oracle.com/javase/8/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a> namespaceURI,
<a href="http://docs.oracle.com/javase/8/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a> localName,
<a href="http://docs.oracle.com/javase/8/docs/api/java/lang/String.html?is-external=true" title="class or interface in java.lang">String</a> namespacePrefix)</code></td>
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<p class="level0"><a name="NAME"></a><h2 class="nroffsh">NAME</h2>
<p class="level0">xwd - dump an image of an X window <a name="SYNOPSIS"></a><h2 class="nroffsh">SYNOPSIS</h2>
<p class="level0"><span Class="bold">xwd</span> [-debug] [-help] [-nobdrs] [-out <span Class="emphasis">file</span>] [-xy] [-frame] [-add <span Class="emphasis">value</span>] [-root | -id <span Class="emphasis">id</span> | -name <span Class="emphasis">name</span> ] [-icmap] [-screen] [-silent] [-display <span Class="emphasis">display</span>] <a name="DESCRIPTION"></a><h2 class="nroffsh">DESCRIPTION</h2>
<p class="level0">
<p class="level0"><span Class="emphasis">Xwd</span> is an X Window System window dumping utility. <span Class="emphasis">Xwd</span> allows X users to store window images in a specially formatted dump file. This file can then be read by various other X utilities for redisplay, printing, editing, formatting, archiving, image processing, etc. The target window is selected by clicking the pointer in the desired window. The keyboard bell is rung once at the beginning of the dump and twice when the dump is completed. <a name="OPTIONS"></a><h2 class="nroffsh">OPTIONS</h2>
<p class="level0">
<p class="level0">
<p class="level0"><span Class="bold">-display display</span> This argument allows you to specify the server to connect to; see <span Class="emphasis">X(7)</span>.
<p class="level0">
<p class="level0"><span Class="bold">-help</span> Print out the `Usage:' command syntax summary.
<p class="level0">
<p class="level0"><span Class="bold">-nobdrs</span> This argument specifies that the window dump should not include the pixels that compose the X window border. This is useful in situations where you may wish to include the window contents in a document as an illustration.
<p class="level0">
<p class="level0"><span Class="bold">-out file</span> This argument allows the user to explicitly specify the output file on the command line. The default is to output to standard out.
<p class="level0">
<p class="level0"><span Class="bold">-xy</span> This option applies to color displays only. It selects `XY' format dumping instead of the default `Z' format.
<p class="level0">
<p class="level0"><span Class="bold">-add value</span> This option specifies an signed value to be added to every pixel.
<p class="level0">
<p class="level0"><span Class="bold">-frame</span> This option indicates that the window manager frame should be included when manually selecting a window.
<p class="level0">
<p class="level0"><span Class="bold">-root</span> This option indicates that the root window should be selected for the window dump, without requiring the user to select a window with the pointer.
<p class="level0">
<p class="level0"><span Class="bold">-id id</span> This option indicates that the window with the specified resource id should be selected for the window dump, without requiring the user to select a window with the pointer.
<p class="level0">
<p class="level0"><span Class="bold">-name name</span> This option indicates that the window with the specified WM_NAME property should be selected for the window dump, without requiring the user to select a window with the pointer.
<p class="level0">
<p class="level0"><span Class="bold">-icmap</span> Normally the colormap of the chosen window is used to obtain RGB values. This option forces the first installed colormap of the screen to be used instead.
<p class="level0">
<p class="level0"><span Class="bold">-screen</span> This option indicates that the GetImage request used to obtain the image should be done on the root window, rather than directly on the specified window. In this way, you can obtain pieces of other windows that overlap the specified window, and more importantly, you can capture menus or other popups that are independent windows but appear over the specified window.
<p class="level0">
<p class="level0"><span Class="bold">-silent</span> Operate silently, i.e. don't ring any bells before and after dumping the window. <a name="ENVIRONMENT"></a><h2 class="nroffsh">ENVIRONMENT</h2>
<p class="level0">
<p class="level0">
<p class="level0"><span Class="bold">DISPLAY</span> To get default host and display number. <a name="FILES"></a><h2 class="nroffsh">FILES</h2>
<p class="level0">
<p class="level0">
<p class="level0"><span Class="bold">XWDFile.h</span> X Window Dump File format definition file. <a name="SEE"></a><h2 class="nroffsh">SEE ALSO</h2>
<p class="level0">xwud(1), X(7) <a name="AUTHORS"></a><h2 class="nroffsh">AUTHORS</h2>
<p class="level0">Tony Della Fera, Digital Equipment Corp., MIT Project Athena <br>William F. Wyatt, Smithsonian Astrophysical Observatory | loic-carbonne/Man-fulltext-search | Step2-Indexing/man_html/man1/xwd.1.html | HTML | apache-2.0 | 4,682 |
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<p id="owner"><a href="../../package.html" class="extype" name="com">com</a>.<a href="../package.html" class="extype" name="com.ligadata">ligadata</a>.<a href="package.html" class="extype" name="com.ligadata.Serialize">Serialize</a></p>
<h1>JsonException</h1>
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<h4 class="signature">
<span class="modifier_kind">
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<span class="kind">new</span>
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<span class="symbol">
<span class="name">JsonException</span><span class="params">(<span name="message">message: <span class="extype" name="scala.Predef.String">String</span></span>)</span>
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<h4 class="signature">
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<span class="modifier">final </span>
<span class="kind">def</span>
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<span title="gt4s: $bang$eq" class="name">!=</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
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<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span title="gt4s: $bang$eq" class="name">!=</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
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<span class="modifier_kind">
<span class="modifier">final </span>
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<span class="symbol">
<span title="gt4s: $hash$hash" class="name">##</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Int">Int</span></span>
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<a id="==(x$1:AnyRef):Boolean"></a>
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<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span title="gt4s: $eq$eq" class="name">==</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
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<a id="==(x$1:Any):Boolean"></a>
<a id="==(Any):Boolean"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span title="gt4s: $eq$eq" class="name">==</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Any">Any</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
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<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div>
</li><li name="java.lang.Throwable#addSuppressed" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
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<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">addSuppressed</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="java.lang.Throwable">Throwable</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
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<a id="asInstanceOf[T0]:T0"></a>
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<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">asInstanceOf</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="result">: <span class="extype" name="scala.Any.asInstanceOf.T0">T0</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div>
</li><li name="scala.AnyRef#clone" visbl="prt" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="clone():Object"></a>
<a id="clone():AnyRef"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">clone</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.AnyRef">AnyRef</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Attributes</dt><dd>protected[<a href="../../../java$lang.html" class="extype" name="java.lang">java.lang</a>] </dd><dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
<span class="name">@throws</span><span class="args">(<span>
<span class="defval" name="classOf[java.lang.CloneNotSupportedException]">...</span>
</span>)</span>
</dd></dl></div>
</li><li name="scala.AnyRef#eq" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="eq(x$1:AnyRef):Boolean"></a>
<a id="eq(AnyRef):Boolean"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">eq</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
</li><li name="java.lang.Throwable#fillInStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="fillInStackTrace():Throwable"></a>
<a id="fillInStackTrace():Throwable"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">fillInStackTrace</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.Throwable">Throwable</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="scala.AnyRef#finalize" visbl="prt" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="finalize():Unit"></a>
<a id="finalize():Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">finalize</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Attributes</dt><dd>protected[<a href="../../../java$lang.html" class="extype" name="java.lang">java.lang</a>] </dd><dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
<span class="name">@throws</span><span class="args">(<span>
<span class="symbol">classOf[java.lang.Throwable]</span>
</span>)</span>
</dd></dl></div>
</li><li name="java.lang.Throwable#getCause" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getCause():Throwable"></a>
<a id="getCause():Throwable"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getCause</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.Throwable">Throwable</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="scala.AnyRef#getClass" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getClass():Class[_]"></a>
<a id="getClass():Class[_]"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getClass</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.Class">Class</span>[_]</span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef → Any</dd></dl></div>
</li><li name="java.lang.Throwable#getLocalizedMessage" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getLocalizedMessage():String"></a>
<a id="getLocalizedMessage():String"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getLocalizedMessage</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.String">String</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#getMessage" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getMessage():String"></a>
<a id="getMessage():String"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getMessage</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.String">String</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#getStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getStackTrace():Array[StackTraceElement]"></a>
<a id="getStackTrace():Array[StackTraceElement]"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getStackTrace</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="java.lang.StackTraceElement">StackTraceElement</span>]</span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#getSuppressed" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="getSuppressed():Array[Throwable]"></a>
<a id="getSuppressed():Array[Throwable]"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">getSuppressed</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="java.lang.Throwable">Throwable</span>]</span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#initCause" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="initCause(x$1:Throwable):Throwable"></a>
<a id="initCause(Throwable):Throwable"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">initCause</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="java.lang.Throwable">Throwable</span></span>)</span><span class="result">: <span class="extype" name="java.lang.Throwable">Throwable</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="scala.Any#isInstanceOf" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="isInstanceOf[T0]:Boolean"></a>
<a id="isInstanceOf[T0]:Boolean"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">isInstanceOf</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Any</dd></dl></div>
</li><li name="com.ligadata.Serialize.JsonException#message" visbl="pub" data-isabs="false" fullComment="no" group="Ungrouped">
<a id="message:String"></a>
<a id="message:String"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">val</span>
</span>
<span class="symbol">
<span class="name">message</span><span class="result">: <span class="extype" name="scala.Predef.String">String</span></span>
</span>
</h4>
</li><li name="scala.AnyRef#ne" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="ne(x$1:AnyRef):Boolean"></a>
<a id="ne(AnyRef):Boolean"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">ne</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.AnyRef">AnyRef</span></span>)</span><span class="result">: <span class="extype" name="scala.Boolean">Boolean</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
</li><li name="scala.AnyRef#notify" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="notify():Unit"></a>
<a id="notify():Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">notify</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
</li><li name="scala.AnyRef#notifyAll" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="notifyAll():Unit"></a>
<a id="notifyAll():Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">notifyAll</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
</li><li name="java.lang.Throwable#printStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="printStackTrace(x$1:java.io.PrintWriter):Unit"></a>
<a id="printStackTrace(PrintWriter):Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">printStackTrace</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="java.io.PrintWriter">PrintWriter</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#printStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="printStackTrace(x$1:java.io.PrintStream):Unit"></a>
<a id="printStackTrace(PrintStream):Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">printStackTrace</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="java.io.PrintStream">PrintStream</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#printStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="printStackTrace():Unit"></a>
<a id="printStackTrace():Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">printStackTrace</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="java.lang.Throwable#setStackTrace" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="setStackTrace(x$1:Array[StackTraceElement]):Unit"></a>
<a id="setStackTrace(Array[StackTraceElement]):Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">setStackTrace</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Array">Array</span>[<span class="extype" name="java.lang.StackTraceElement">StackTraceElement</span>]</span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable</dd></dl></div>
</li><li name="scala.AnyRef#synchronized" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="synchronized[T0](x$1:=>T0):T0"></a>
<a id="synchronized[T0](⇒T0):T0"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">synchronized</span><span class="tparams">[<span name="T0">T0</span>]</span><span class="params">(<span name="arg0">arg0: ⇒ <span class="extype" name="java.lang.AnyRef.synchronized.T0">T0</span></span>)</span><span class="result">: <span class="extype" name="java.lang.AnyRef.synchronized.T0">T0</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd></dl></div>
</li><li name="java.lang.Throwable#toString" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="toString():String"></a>
<a id="toString():String"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier"></span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">toString</span><span class="params">()</span><span class="result">: <span class="extype" name="java.lang.String">String</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>Throwable → AnyRef → Any</dd></dl></div>
</li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="wait():Unit"></a>
<a id="wait():Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">wait</span><span class="params">()</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
<span class="name">@throws</span><span class="args">(<span>
<span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
</span>)</span>
</dd></dl></div>
</li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="wait(x$1:Long,x$2:Int):Unit"></a>
<a id="wait(Long,Int):Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>, <span name="arg1">arg1: <span class="extype" name="scala.Int">Int</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
<span class="name">@throws</span><span class="args">(<span>
<span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
</span>)</span>
</dd></dl></div>
</li><li name="scala.AnyRef#wait" visbl="pub" data-isabs="false" fullComment="yes" group="Ungrouped">
<a id="wait(x$1:Long):Unit"></a>
<a id="wait(Long):Unit"></a>
<h4 class="signature">
<span class="modifier_kind">
<span class="modifier">final </span>
<span class="kind">def</span>
</span>
<span class="symbol">
<span class="name">wait</span><span class="params">(<span name="arg0">arg0: <span class="extype" name="scala.Long">Long</span></span>)</span><span class="result">: <span class="extype" name="scala.Unit">Unit</span></span>
</span>
</h4>
<div class="fullcomment"><dl class="attributes block"> <dt>Definition Classes</dt><dd>AnyRef</dd><dt>Annotations</dt><dd>
<span class="name">@throws</span><span class="args">(<span>
<span class="defval" name="classOf[java.lang.InterruptedException]">...</span>
</span>)</span>
</dd></dl></div>
</li></ol>
</div>
</div>
<div id="inheritedMembers">
<div class="parent" name="scala.Serializable">
<h3>Inherited from <span class="extype" name="scala.Serializable">Serializable</span></h3>
</div><div class="parent" name="scala.Product">
<h3>Inherited from <span class="extype" name="scala.Product">Product</span></h3>
</div><div class="parent" name="scala.Equals">
<h3>Inherited from <span class="extype" name="scala.Equals">Equals</span></h3>
</div><div class="parent" name="java.lang.Exception">
<h3>Inherited from <span class="extype" name="java.lang.Exception">Exception</span></h3>
</div><div class="parent" name="java.lang.Throwable">
<h3>Inherited from <span class="extype" name="java.lang.Throwable">Throwable</span></h3>
</div><div class="parent" name="java.io.Serializable">
<h3>Inherited from <span class="extype" name="java.io.Serializable">Serializable</span></h3>
</div><div class="parent" name="scala.AnyRef">
<h3>Inherited from <span class="extype" name="scala.AnyRef">AnyRef</span></h3>
</div><div class="parent" name="scala.Any">
<h3>Inherited from <span class="extype" name="scala.Any">Any</span></h3>
</div>
</div>
<div id="groupedMembers">
<div class="group" name="Ungrouped">
<h3>Ungrouped</h3>
</div>
</div>
</div>
<div id="tooltip"></div>
<div id="footer"> </div>
<script defer="defer" type="text/javascript" id="jquery-js" src="../../../lib/jquery.js"></script><script defer="defer" type="text/javascript" id="jquery-ui-js" src="../../../lib/jquery-ui.js"></script><script defer="defer" type="text/javascript" id="tools-tooltip-js" src="../../../lib/tools.tooltip.js"></script><script defer="defer" type="text/javascript" id="template-js" src="../../../lib/template.js"></script>
</body>
</html> | traytonwhite/Kamanja | trunk/Documentation/KamanjaAPIDocs/com/ligadata/Serialize/JsonException.html | HTML | apache-2.0 | 32,984 |
{% extends '_layouts/base.html' %}
{% set title = 'Ionic Enterprise Edition: Trusted Solution for Building Enterprise Apps' %}
{% set meta_image = 'https://ionicframework.com/img/meta/products-ee-og.png' %}
{% set meta_description = "Ionic Enterprise Edition is a trusted foundation and full-stack solution to build and power your company's mission-critical, enterprise apps that impact digital transformation." %}
{% set id = 'products-enterprise-engine' %}
{% set header_style = 'transparent light' %}
{% set stickyNav = false %}
{% set cssPath = 'products/enterprise-edition' %}
{% set hide_pre_header = true %}
{% set pre_footer = false %}
{% block main %}
<svg style="display: none;"></svg>
<div class="top">
<div class="container">
<hgroup class="measure">
<h4>Ionic Enterprise Edition</h4>
<h1>The best way to build with Ionic.</h1>
<p>Accelerate app development with a solution that’s optimized for enterprise and backed by Ionic Experts.</p>
<a href="#" class="btn uppercase rounded cta-link" id="btn-enterprise-engine-hero-buy">Chat with us</a>
</hgroup>
</div>
</div>
<main>
<div class="page-nav-wrap">
<div class="page-nav">
<div class="page-nav__inner">
<ul>
<li>
<a href="#front-end-framework" class="page-nav__link page-nav__icon page-nav__icon--framework" id="btn-enterprise-edition-nav-ui-toolkit">
Cross-Platform UI Toolkit
</a>
</li>
<li>
<a href="#native-device-features" class="page-nav__link page-nav__icon page-nav__icon--native" id="btn-enterprise-edition-nav-native-features">
Native Device <br/> Features
</a>
</li>
<li>
<a href="#pre-built-solutions" class="page-nav__link page-nav__icon page-nav__icon--solutions" id="btn-enterprise-edition-nav-pre-built-solutions">
Pre-built <br/> Solutions
</a>
</li>
<li>
<a href="#expert-services" class="page-nav__link page-nav__icon page-nav__icon--services" id="btn-enterprise-edition-nav-expert-services">
Expert <br/> Services
</a>
</li>
</ul>
</div>
</div>
<section class="overview">
<div class="container">
<div>
<h3><em>Ionic Enterprise Edition</em> empowers your app development teams with everything they need to deliver the mission-critical apps that keep your business running.</h3>
<img src="/img/products/enterprise-engine/enterprise-edition-logo-sprite.png" alt="">
</div>
<div>
<div class="chart">
<h5><span>What you get</span></h5>
<div class="chart__box">
<ul class="chart__card-list">
<li class="chart__card">
Ionic Framework Enterprise Edition
</li>
<li class="chart__card">
Core Native Features
</li>
<li class="chart__card">
Customer Success & Advisory
</li>
</ul>
<h6>Advanced Mobile Solutions</h6>
<ul class="checkmark-list checkmark-list--small checkmark-list--orange">
<li>
<ion-icon name="checkmark"></ion-icon>
Authentication
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Payments
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Media
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Printing & Scanning</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Biometrics
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Notifications
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Communications
</li>
<li>
<ion-icon name="checkmark"></ion-icon>
Offline Data
</li>
</ul>
</div>
<h5><span>For Cross Platform Development across</span></h5>
<ul class="platform-list">
<li class="platform platform--ios">Native iOS</li>
<li class="platform platform--android">Native Android</li>
<li class="platform platform--electron">Electron</li>
<li class="platform platform--pwa">PWA</li>
<li class="platform platform--browser">Browser</li>
</ul>
</div>
</div>
</div>
</section>
<section id="front-end-framework" class="nav-section">
<div class="container two-col">
<hgroup>
<h3>Cross-Platform UI Toolkit</h3>
<h2>One UI library for all your team’s projects and applications.</h2>
<p class="large">Develop award-winning mobile and desktop apps, with one shared codebase across projects and a single design language for your entire organization. Ionic Enterprise Edition comes with an enterprise-ready version of the open source Framework, backed by long-term support and migration assistance to keep you moving forward.</p>
<ul class="checkmark-list checkmark-list--large">
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Timely support and troubleshooting for issues with Ionic Framework.
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Long-term support for previous versions for up to 5 years.
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Priority fixes to keep your development on track.
</li>
</ul>
</hgroup>
<div class="graphics--framework activateOnScroll">
<div class="shadow"></div>
</div>
</div>
</section>
<section id="native-device-features" class="nav-section">
<div class="container">
<h3>Native Device Features</h3>
<hgroup class="two-col">
<div>
<h2>Easy access to device features</h2>
</div>
<div>
<p class="large">Need access to native mobile device features like Camera and GPS? Ionic Enterprise Edition provides a core library of native functionality that you can easily add to any Ionic app, with active maintenance and security patching to keep your projects running smoothly.</p>
</div>
</hgroup>
<h3 class="large">Your native library comes with: </h3>
<ul class="feature-list">
<li>
<hgroup class="feature-icon feature-icon--updates">
<h4>Regular Release Cycles & updates</h4>
<p>A release timeline you can count on, as opposed to a community maintainers schedule. Think days instead of months or years.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--sla">
<h4>Guaranteed Support SLA & Ticketing</h4>
<p>Ability to communicate directly with the Ionic team with guaranteed response times, so you can be sure you will get answers & fixes ASAP.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--advisory">
<h4>Access to Advisory & Implementation Guidance</h4>
<p>Ensuring your team is utilizing best practices and functionality from both the framework & native side with ease, enabling you to meet your deadlines while avoiding costly tech debt.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--security">
<h4>Critical Security & Hot Bug Fixes</h4>
<p>The plugins that Ionic maintains will be guaranteed to work with future OS releases, patches, continued development, and more. There’s no fear of community plugin abandonement.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--issues">
<h4>Issues & Feature Prioritization</h4>
<p>An Open Source plugin may have many open issues that will impact your team's ability to use the plugin, delaying your ability to ship new features. Ensure that your team remains agile by having Ionic fix the issues most important to you.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--guaranteed">
<h4>Guaranteed Product Lifespan</h4>
<p>The plugins that Ionic maintains will be guaranteed to work with future operating system releases, patches, continued development, and more. There’s no fear of a plugin being abandoned by its original author.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--discussions">
<h4>Influence & Improvement Discussions</h4>
<p>If a plugin doesn’t do what you need it to do, Ionic is always open to chat about modifications and how the plugin can work better for you.</p>
</hgroup>
</li>
<li>
<hgroup class="feature-icon feature-icon--protection">
<h4>Protection Against Changing Ecosystem</h4>
<p>The frontend and mobile app ecosystems are always changing, and you’re not in control of them like you would be with your backend choices. Ionic will ensure that future software releases are supported by our maintained.</p>
</hgroup>
</li>
</ul>
</div>
</section>
<section id="pre-built-solutions" class="nav-section">
<div class="container" >
<div class="two-col">
<div class="integrations">
<a class="integrations__identity-vault">
<i></i>
Identity Vault
</a>
<a class="integrations__aws-amplify">
<i></i>
AWS Amplify
</a>
<a class="integrations__couchbase">
<i></i>
Couchbase
</a>
<a class="integrations__active-directory">
<i></i>
Active Directory
</a>
</div>
<div>
<hgroup >
<h3>Pre-built Solutions</h3>
<h2>Lightning-fast development with pre-built solutions</h2>
<p class="large">Accelerate development with powerful solutions to common enterprise use cases - all built and supported by the Ionic team. Ionic’s growing library of solutions are ready to deploy in any of the apps you build with Enterprise Edition.</p>
<ul class="checkmark-list checkmark-list--large">
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Biometrics & user authentication
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Secure offline storage
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Mobile payment
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Notifications
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Barcode scanning
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
Cross-app communications
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
And more
</li>
</ul>
</hgroup>
</div>
</div>
</div>
</section>
<section id="expert-services" class="nav-section">
<div class="container">
<hgroup>
<h3>Advisory & Training</h3>
<div class="two-col">
<div>
<h2>Your trusted development partner</h2>
<p class="large">Ionic Enterprise Edition customers get exclusive access to Ionic’s Advisory Services and Trainings.</p>
</div>
</div>
</hgroup>
<div class="two-col">
<ul class="feature-list feature-list--large">
<li>
<i class="feature-icon feature-icon--advisory"></i>
<hgroup>
<h4>Ionic Advisory Services</h4>
<p>Our mobile experts become your development partner to ensure on-time app delivery, avoid technical debt, and eliminate risk. Examples include code reviews, architecture reviews, security audits, custom development solutions, and more.</p>
</hgroup>
</li>
<li>
<i class="feature-icon feature-icon--training"></i>
<hgroup>
<h4>Customized Team Training</h4>
<p>Our dedicated advisors are available for on-site or remote training to help your team get up-to-speed quickly on Ionic and provide our recommended best practices for building and delivering stellar mobile apps.</p>
</hgroup>
</li>
</ul>
<ul class="checkmark-list checkmark-list--large">
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
<hgroup>
<h5>Private Slack</h5>
<p>Unlock realtime access to Ionic engineers and native mobile experts via a dedicated Slack channel.</p>
</hgroup>
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
<hgroup>
<h5>Code Reviews</h5>
<p>Go line-by-line with our experts as they share coding best practices and advice.</p>
</hgroup>
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
<hgroup>
<h5>Custom Training</h5>
<p>Give your team the skills and tools they need to be successful building apps on day one.</p>
</hgroup>
</li>
<li>
<i>
<ion-icon name="checkmark"></ion-icon>
</i>
<hgroup>
<h5>Expert Advisory</h5>
<p>Our mobile experts are on-hand to help your development team tackle any aspect of app development.</p>
</hgroup>
</li>
</ul>
</div>
</div>
</section>
</div>
<section id="comparison-table" class="divider">
<div class="container">
<hgroup>
<h2><em>Everything you need.</em> From front to back.</h2>
</hgroup>
<div class="comp-table-wrapper">
<table class="comp-table">
<thead>
<tr>
<th></th>
<th>Ionic Community Edition</th>
<th>Ionic Enterprise Edition</th>
</tr>
</thead>
<tbody>
<tr class="comp-table__section">
<td>Cross-Platform UI Toolkit</td>
<td></td>
<td></td>
</tr>
<tr class="stripe">
<td>Ionic Framework</td>
<td><ion-icon name="checkmark"></ion-icon></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr>
<td>Long-Term Support</td>
<td><i class="dash"></i></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr class="stripe">
<td>Version Migration Assistance</td>
<td><i class="dash"></i></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr>
<td>Priority Fixes</td>
<td><i class="dash"></i></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr class="comp-table__section">
<td>Core Device Functionality</td>
<td></td>
<td></td>
</tr>
<tr class="stripe">
<td>Native Feature Library that includes GPS, Camera, InAppBrowser, Accelerometer, and more.</td>
<td>Community Plugins</td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr>
<td>Active Maintenance & Support</td>
<td><i class="dash"></i></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr class="comp-table__section">
<td>Pre-Built Mobile Solutions</td>
<td></td>
<td></td>
</tr>
<tr class="stripe">
<td>Security & Authentication </td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr>
<td>Mobile Payments </td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr class="stripe">
<td>Offline Data</td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr>
<td>Media</td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr class="stripe">
<td>Notifications</td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr>
<td>Printing & Scanning</td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
<tr class="comp-table__section comp-table__section--pad">
<td>Enterprise Customer Success</td>
<td><i class="dash"></i></td>
<td><ion-icon name="checkmark"></ion-icon></td>
</tr>
<tr class="comp-table__section comp-table__section--pad">
<td>Advisory Services</td>
<td><i class="dash"></i></td>
<td><span class="pill">Add-on available</span></td>
</tr>
</tbody>
</table>
</div>
</div>
</section>
<section class="offwhite call-to-action">
<div class="container">
<hgroup class="center">
<h3>Ready to get started?</h3>
<p>
Connect with us today to see how you can get started with <b>Ionic Enterprise Edition</b>.
</p>
</hgroup>
<div class="hubspot-override hubspot-override--large">
<!--[if lte IE 8]>
<script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2-legacy.js"></script>
<![endif]-->
<script charset="utf-8" type="text/javascript" src="//js.hsforms.net/forms/v2.js"></script>
<script>
hbspt.forms.create({
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</div>
</section>
</main>
{% include '../_includes/promos/tri-cta.html' %}
{% endblock %}
{% block modals %}
{% endblock %}
{% block scripts %}
<script>
function scrollToSelector(selector, offset){
var offset = offset || 0;
window.scrollToY(document.querySelector(selector).getBoundingClientRect().top + window.scrollY + offset, 200, 'easeOutExpo');
}
// main cta scroll to
document.querySelectorAll('.cta-link').forEach(function(ctaLink){
ctaLink.addEventListener('click', function(ev){
ev.preventDefault();
scrollToSelector('.call-to-action');
});
});
// page nav scroll to
document.querySelectorAll('.page-nav__link').forEach(function(navLink){
navLink.addEventListener('click', function(ev){
ev.preventDefault();
var anchorId = ev.target.getAttribute("href");
scrollToSelector(anchorId, -60);
});
})
// nav highlighting
var threshold = window.innerHeight * 0.33;
var sectionOffsets = [];
function updateSectionOffsets(){
requestAnimationFrame(function(){
document.querySelectorAll('.nav-section').forEach(function(section){
sectionOffsets.push({
id: section.id,
top: section.getBoundingClientRect().top + window.scrollY,
bottom: section.getBoundingClientRect().bottom + window.scrollY,
anchor: document.querySelector('[href="#' + section.id + '"]'),
isActive: false
})
});
});
}
function checkOffsets(){
var scroll = window.scrollY + threshold;
sectionOffsets.forEach(function(section){
if (section.top < scroll && section.bottom > scroll) {
section.anchor.classList.add('active');
section.isActive = true;
} else {
section.anchor.classList.remove('active');
section.isActive = false;
}
});
if (sectionOffsets.filter(function(o){return o.isActive === true}).length) {
document.querySelector('.page-nav').classList.add('active');
} else {
document.querySelector('.page-nav').classList.remove('active');
}
}
updateSectionOffsets();
checkOffsets();
window.addEventListener('scroll', checkOffsets);
window.addEventListener('resize', updateSectionOffsets);
</script>
{% endblock %}
| driftyco/ionic-site | server/pages/products/enterprise-edition.html | HTML | apache-2.0 | 22,403 |
<!DOCTYPE html PUBLIC "-//W3C//Dtd XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/Dtd/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en" lang="en">
<!-- Mirrored from scaikeqc.org/xxxv/detail.php?Human=Ragnar%20Bloodaxe by HTTrack Website Copier/3.x [XR&CO'2014], Sun, 26 Feb 2017 10:32:00 GMT -->
<head>
<meta http-equiv="Content-Type" content="text/html;charset=utf-8" />
<link rel="stylesheet" type="text/css" href="../shiny.css"/>
<title>IKEqC Score Detail for A.S. XXXV</title>
</head>
<body>
<div id="overalls"> <!-- defines the overall content area -->
<!-- shared header for all first subdir files -->
<div id="header">
<div id="headerleftsquare">
<img src="../scaequestrian.gif" alt="SCA Interkingdom Equestrian Competition" />
</div> <!-- close headerleftsquare -->
<div id="headercontent"><h1>Interkingdom Equestrian Competition</h1>
<div id="hnav1">
<p><a href="index-2.html">Home</a></p>
<p><a href="index.html">AS XXXV (35)</a></p>
<p><a href="../xxxvi/index.html">AS XXXVI (36)</a></p>
<p><a href="../xxxvii/index.html">AS XXXVII (37)</a></p>
<p><a href="../xxxviii/index.html">AS XXXVIII (38)</a></p>
</div> <!-- close hnav1 -->
<div id="hnav2">
<p><a href="../xxxix/index.html">AS XXXIX (39)</a></p>
<p><a href="../xl/index.html">AS XL (40)</a></p>
<p><a href="../xli/index.html">AS XLI (41)</a></p>
<p><a href="../xlii/index.html">AS XLII (42)</a></p>
<p><a href="../xliii/index.html">AS XLIII (43)</a></p>
</div> <!-- close hnav2 -->
<div id="hnav3">
<p><a href="../xliv/index.html">AS XLIV (44)</a></p>
<p><a href="../xlv/index.html">AS XLV (45)</a></p>
<p><a href="../xlvi/index.html">AS XLVI (46)</a></p>
<p><a href="../xlvii/index.html">AS XLVII (47)</a></p>
<p><a href="../xlviii/index.html">AS XLVIII (48)</a></p>
</div> <!-- close hnav3 -->
<div id="hnav4">
<p><a href="../xlix/index.html">AS XLIX (49)</a></p>
<p><strong><a href="../l/index.html">AS L (50)</a></strong></p>
</div> <!-- close hnav4 -->
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<h2>Score Detail for
AS XXXV</h2>
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<table class="competitordetail">
<tr><th colspan=2 class="sgh">Score Details for Ragnar Bloodaxe</th></tr>
<tr><td class="right">
Participant:<br/>
Horse:<br/>
Kingdom:<br/>
Event:<br/>
Division:<br/>
</td><td class="left">
Ragnar Bloodaxe<br/>
.<br/>
Middle<br/>
Rivenstar Fall Frolic<br/>
Intermediate, 30 feet<br/>
</td></tr><tr><td colspan=2 td class="sg1"><br/><hr width=80%>
<CENTER><H2>Behead the Target!</H2></CENTER>
Course Time in Seconds: 36.03<br/>
Penalty: 10 Bonus: <br/>
Behead the Target Score: <BR CLEAR=ALL><br/>
<HR WIDTH=80%>
<CENTER><H2>Tilting at the Rings!</H2></CENTER>
Number of rings of each size collected:<br/>
1" Rings: 0 2" Rings: 2 3" Rings: 1<br/>
4" Rings: 0 5" Rings: 0 6" Rings: 0 <br/>
Rings Score:
<br/><hr width=80%>
Total Score: 94
</td></tr></table>
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Emails sent to lord (dot) sandor (dot) dosa (at) gmail (dot) com will find him.<br/>
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<td class="colLast"><code><strong><a href="../../../../../../../com/fasterxml/jackson/databind/jsontype/impl/ClassNameIdResolver.html" title="class in com.fasterxml.jackson.databind.jsontype.impl">ClassNameIdResolver</a></strong></code>
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Java class names and (JSON) Strings.</div>
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<td class="colFirst"><code>class </code></td>
<td class="colLast"><code><strong><a href="../../../../../../../com/fasterxml/jackson/databind/jsontype/impl/MinimalClassNameIdResolver.html" title="class in com.fasterxml.jackson.databind.jsontype.impl">MinimalClassNameIdResolver</a></strong></code> </td>
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<td class="colFirst"><code>class </code></td>
<td class="colLast"><code><strong><a href="../../../../../../../com/fasterxml/jackson/databind/jsontype/impl/TypeNameIdResolver.html" title="class in com.fasterxml.jackson.databind.jsontype.impl">TypeNameIdResolver</a></strong></code> </td>
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<tr class="even"><td class="entry"><a class="el" href="class_opt_iter.html#a83fee36a05864e23eebc91b251ac9743">curr</a>(void)=0</td><td class="entry"><a class="el" href="class_opt_iter.html">OptIter</a></td><td class="entry"><span class="mlabel">pure virtual</span></td></tr>
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<div class="block">TokenFilterFactory that uses the ManagedWordSetResource implementation
for managing stop words using the REST API.</div>
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<td class="colFirst"><code>class </code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../../../org/apache/solr/rest/schema/analysis/ManagedSynonymFilterFactory.html" title="class in org.apache.solr.rest.schema.analysis">ManagedSynonymFilterFactory</a></span></code>
<div class="block">TokenFilterFactory and ManagedResource implementation for
doing CRUD on synonyms using the REST API.</div>
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| Velaya/gbol_solr | docs/solr-core/org/apache/solr/rest/schema/analysis/class-use/BaseManagedTokenFilterFactory.html | HTML | apache-2.0 | 8,322 |
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<h2 title="Class Period" class="title">Class Period</h2>
</div>
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<ul class="inheritance">
<li>java.lang.Object</li>
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<li><a href="../../../../org/drip/service/stream/Serializer.html" title="class in org.drip.service.stream">org.drip.service.stream.Serializer</a></li>
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<li>org.drip.analytics.period.Period</li>
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<dt>Direct Known Subclasses:</dt>
<dd><a href="../../../../org/drip/analytics/period/CouponPeriod.html" title="class in org.drip.analytics.period">CouponPeriod</a>, <a href="../../../../org/drip/analytics/period/CouponPeriodCurveFactors.html" title="class in org.drip.analytics.period">CouponPeriodCurveFactors</a>, <a href="../../../../org/drip/analytics/period/LossPeriodCurveFactors.html" title="class in org.drip.analytics.period">LossPeriodCurveFactors</a></dd>
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<pre>public class <span class="strong">Period</span>
extends <a href="../../../../org/drip/service/stream/Serializer.html" title="class in org.drip.service.stream">Serializer</a></pre>
<div class="block">This class serves as a holder for the period dates: period start/end, period accrual start/end, pay, and
full period day count fraction.</div>
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<code><a href="../../../../org/drip/service/stream/Serializer.html#NULL_SER_STRING">NULL_SER_STRING</a>, <a href="../../../../org/drip/service/stream/Serializer.html#VERSION">VERSION</a></code></li>
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<td class="colOne"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#Period(byte[])">Period</a></strong>(byte[] ab)</code>
<div class="block">De-serialization of Period from byte stream</div>
</td>
</tr>
<tr class="rowColor">
<td class="colOne"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#Period(double, double, double, double, double, double)">Period</a></strong>(double dblStart,
double dblEnd,
double dblAccrualStart,
double dblAccrualEnd,
double dblPay,
double dblDCF)</code>
<div class="block">Constructs a period object instance from the corresponding date parameters</div>
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<th class="colLast" scope="col">Method and Description</th>
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<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#contains(double)">contains</a></strong>(double dblDate)</code>
<div class="block">Checks whether the supplied date is inside the period specified</div>
</td>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../org/drip/service/stream/Serializer.html" title="class in org.drip.service.stream">Serializer</a></code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#deserialize(byte[])">deserialize</a></strong>(byte[] ab)</code>
<div class="block">De-serialize from a byte array.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getAccrualDCF(double)">getAccrualDCF</a></strong>(double dblAccrualEnd)</code>
<div class="block">Get the period Accrual Day Count Fraction to an accrual end date</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getAccrualEndDate()">getAccrualEndDate</a></strong>()</code>
<div class="block">Returns the period Accrual End Date</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getAccrualStartDate()">getAccrualStartDate</a></strong>()</code>
<div class="block">Returns the period Accrual Start Date</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getCouponDCF()">getCouponDCF</a></strong>()</code>
<div class="block">Gets the coupon DCF</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getEndDate()">getEndDate</a></strong>()</code>
<div class="block">Returns the period End Date</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getFieldDelimiter()">getFieldDelimiter</a></strong>()</code>
<div class="block">Returns the Field Delimiter String</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getObjectTrailer()">getObjectTrailer</a></strong>()</code>
<div class="block">Returns the Object Trailer String</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getPayDate()">getPayDate</a></strong>()</code>
<div class="block">Returns the period Pay Date</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getResetDate()">getResetDate</a></strong>()</code>
<div class="block">Returns the period Reset Date</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#getStartDate()">getStartDate</a></strong>()</code>
<div class="block">Returns the period Start Date</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static void</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#main(java.lang.String[])">main</a></strong>(java.lang.String[] astrArgs)</code> </td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>byte[]</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#serialize()">serialize</a></strong>()</code>
<div class="block">Serialize into a byte array.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#setAccrualStartDate(double)">setAccrualStartDate</a></strong>(double dblAccrualStart)</code>
<div class="block">Set the period Accrual Start Date</div>
</td>
</tr>
<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/drip/analytics/period/Period.html#setPayDate(double)">setPayDate</a></strong>(double dblPay)</code>
<div class="block">Set the period Pay Date</div>
</td>
</tr>
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<h3>Methods inherited from class org.drip.service.stream.<a href="../../../../org/drip/service/stream/Serializer.html" title="class in org.drip.service.stream">Serializer</a></h3>
<code><a href="../../../../org/drip/service/stream/Serializer.html#getCollectionKeyValueDelimiter()">getCollectionKeyValueDelimiter</a>, <a href="../../../../org/drip/service/stream/Serializer.html#getCollectionMultiLevelKeyDelimiter()">getCollectionMultiLevelKeyDelimiter</a>, <a href="../../../../org/drip/service/stream/Serializer.html#getCollectionRecordDelimiter()">getCollectionRecordDelimiter</a></code></li>
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<h3>Methods inherited from class java.lang.Object</h3>
<code>equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait</code></li>
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<pre>public Period(double dblStart,
double dblEnd,
double dblAccrualStart,
double dblAccrualEnd,
double dblPay,
double dblDCF)
throws java.lang.Exception</pre>
<div class="block">Constructs a period object instance from the corresponding date parameters</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>dblStart</code> - Period Start Date</dd><dd><code>dblEnd</code> - Period End Date</dd><dd><code>dblAccrualStart</code> - Period Accrual Start Date</dd><dd><code>dblAccrualEnd</code> - Period Accrual End Date</dd><dd><code>dblPay</code> - Period Pay Date</dd><dd><code>dblDCF</code> - Period Day count fraction</dd>
<dt><span class="strong">Throws:</span></dt>
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<pre>public Period(byte[] ab)
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<dt><span class="strong">Throws:</span></dt>
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<pre>public double getStartDate()</pre>
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<pre>public double getEndDate()</pre>
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<pre>public double getAccrualStartDate()</pre>
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<pre>public boolean setAccrualStartDate(double dblAccrualStart)</pre>
<div class="block">Set the period Accrual Start Date</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>dblAccrualStart</code> - Period Accrual Start Date</dd></dl>
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<pre>public double getAccrualEndDate()</pre>
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<pre>public double getResetDate()</pre>
<div class="block">Returns the period Reset Date</div>
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<pre>public double getPayDate()</pre>
<div class="block">Returns the period Pay Date</div>
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<pre>public boolean setPayDate(double dblPay)</pre>
<div class="block">Set the period Pay Date</div>
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<pre>public double getAccrualDCF(double dblAccrualEnd)
throws java.lang.Exception</pre>
<div class="block">Get the period Accrual Day Count Fraction to an accrual end date</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>dblAccrualEnd</code> - Accrual End Date</dd>
<dt><span class="strong">Throws:</span></dt>
<dd><code>Throws</code> - if inputs are invalid, or if the date does not lie within the period</dd>
<dd><code>java.lang.Exception</code></dd></dl>
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<pre>public double getCouponDCF()</pre>
<div class="block">Gets the coupon DCF</div>
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<pre>public boolean contains(double dblDate)
throws java.lang.Exception</pre>
<div class="block">Checks whether the supplied date is inside the period specified</div>
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<dt><span class="strong">Returns:</span></dt><dd>True indicates the specified date is inside the period</dd>
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<h2 id="treebank-statistics-ud_yupik-sli-relations-deppos">Treebank Statistics: UD_Yupik-SLI: Relations: <code class="language-plaintext highlighter-rouge">dep:pos</code></h2>
<p>This relation is a language-specific subtype of .
There are also 6 other language-specific subtypes of <code class="language-plaintext highlighter-rouge">dep</code>: <tt><a href="ess_sli-dep-dep-ana.html">dep:ana</a></tt>, <tt><a href="ess_sli-dep-dep-aux.html">dep:aux</a></tt>, <tt><a href="ess_sli-dep-dep-cop.html">dep:cop</a></tt>, <tt><a href="ess_sli-dep-dep-emo.html">dep:emo</a></tt>, <tt><a href="ess_sli-dep-dep-infl.html">dep:infl</a></tt>, <tt><a href="ess_sli-dep-dep-mark.html">dep:mark</a></tt>.</p>
<p>3 nodes (0%) are attached to their parents as <code class="language-plaintext highlighter-rouge">dep:pos</code>.</p>
<p>3 instances of <code class="language-plaintext highlighter-rouge">dep:pos</code> (100%) are right-to-left (child precedes parent).
Average distance between parent and child is 1.</p>
<p>The following 1 pairs of parts of speech are connected with <code class="language-plaintext highlighter-rouge">dep:pos</code>: <tt><a href="ess_sli-pos-VERB.html">VERB</a></tt>-<tt><a href="ess_sli-pos-X.html">X</a></tt> (3; 100% instances).</p>
<pre><code class="language-conllu"># visual-style 5 bgColor:blue
# visual-style 5 fgColor:white
# visual-style 6 bgColor:blue
# visual-style 6 fgColor:white
# visual-style 6 5 dep:pos color:blue
1 Sangavek sangavek ADV _ PronType=Int 2 advmod _ Analysis=sangavek(WH)|Gloss=why
2 atightugh atightugh VERB _ _ 0 root _ Analysis=atightugh(V)|Gloss=to-read
3 aq aq VERB _ Aspect=Prog|Tense=Pres 2 dep:aux _ Analysis=~(g)aqe(V→V)|Gloss=to-be-currently-V-ing
4 sin sin X _ Mood=Int|Number[subj]=Sing|Person[subj]=2|Subcat=Intr 3 dep:infl _ Analysis=[Intrg.Intr.2Sg]
5 ingagh ingagh X _ _ 6 dep:pos _ Analysis=ingagh*(POS)|Gloss=lying-down
6 nga nga VERB _ _ 2 advcl _ Analysis=~fnga(POS→STATIVE)|Gloss=to-be-in-the-R-posture
7 gpek gpek X _ Number[subj]=Sing|Person[subj]=2 6 dep:infl _ Analysis=[2Sg]
8 efluga efluga NOUN _ _ 5 obl _ Analysis=eflugagh(N)|Gloss=floor
9 mi mi X _ Case=Loc|Number=Sing 8 dep:infl _ Analysis=[Loc.Sg]
10 ? ? PUNCT _ _ 2 punct _ Analysis=?
</code></pre>
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<td width="37%" class="forumrow"><B>等级名称</B></td>
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| minglangasp/pppon | Admin/Tpl/Member/addrank.html | HTML | apache-2.0 | 2,639 |
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| hip4/patmon1 | reports/apidocs/ch/bfh/ti/sed/patmon1/server/domain/impl/package-summary.html | HTML | apache-2.0 | 6,784 |
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| Team-CMPUT301F13T12/301-Project | doc/ualberta/g12/adventurecreator/class-use/BuildConfig.html | HTML | apache-2.0 | 4,171 |
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<li><h2>Interfaces</h2>
<ul>
<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesClient.html">GooglePlayServicesClient</a></li>
<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesClient.ConnectionCallbacks.html">GooglePlayServicesClient.ConnectionCallbacks</a></li>
<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesClient.OnConnectionFailedListener.html">GooglePlayServicesClient.OnConnectionFailedListener</a></li>
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<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/AccountPicker.html">AccountPicker</a></li>
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<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/SupportErrorDialogFragment.html">SupportErrorDialogFragment</a></li>
</ul>
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<li><h2>Exceptions</h2>
<ul>
<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesNotAvailableException.html">GooglePlayServicesNotAvailableException</a></li>
<li class="api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesRepairableException.html">GooglePlayServicesRepairableException</a></li>
<li class="selected api apilevel-"><a href="../../../../../../reference/com/google/android/gms/common/UserRecoverableException.html">UserRecoverableException</a></li>
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Summary:
<a href="#pubctors">Ctors</a>
| <a href="#pubmethods">Methods</a>
| <a href="#inhmethods">Inherited Methods</a>
| <a href="#" onclick="return toggleAllClassInherited()" id="toggleAllClassInherited">[Expand All]</a>
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<!-- ======== START OF CLASS DATA ======== -->
<div id="jd-header">
public
class
<h1 itemprop="name">UserRecoverableException</h1>
extends <a href="http://developer.android.com/reference/java/lang/Exception.html">Exception</a><br/>
</div><!-- end header -->
<div id="naMessage"></div>
<div id="jd-content" class="api apilevel-">
<table class="jd-inheritance-table">
<tr>
<td colspan="4" class="jd-inheritance-class-cell"><a href="http://developer.android.com/reference/java/lang/Object.html">java.lang.Object</a></td>
</tr>
<tr>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="3" class="jd-inheritance-class-cell"><a href="http://developer.android.com/reference/java/lang/Throwable.html">java.lang.Throwable</a></td>
</tr>
<tr>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="2" class="jd-inheritance-class-cell"><a href="http://developer.android.com/reference/java/lang/Exception.html">java.lang.Exception</a></td>
</tr>
<tr>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> </td>
<td class="jd-inheritance-space"> ↳</td>
<td colspan="1" class="jd-inheritance-class-cell">com.google.android.gms.common.UserRecoverableException</td>
</tr>
</table>
<table class="jd-sumtable jd-sumtable-subclasses"><tr><td colspan="12" style="border:none;margin:0;padding:0;">
<a href="#" onclick="return toggleInherited(this, null)" id="subclasses-direct" class="jd-expando-trigger closed"
><img id="subclasses-direct-trigger"
src="../../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>Known Direct Subclasses
<div id="subclasses-direct">
<div id="subclasses-direct-list"
class="jd-inheritedlinks"
>
<a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesRepairableException.html">GooglePlayServicesRepairableException</a>
</div>
<div id="subclasses-direct-summary"
style="display: none;"
>
<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-linkcol"><a href="../../../../../../reference/com/google/android/gms/common/GooglePlayServicesRepairableException.html">GooglePlayServicesRepairableException</a></td>
<td class="jd-descrcol" width="100%">GooglePlayServicesRepairableExceptions are special instances of
<code><a href="../../../../../../reference/com/google/android/gms/common/UserRecoverableException.html">UserRecoverableException</a></code>s which are thrown when Google Play Services is not installed,
up-to-date, or enabled. </td>
</tr>
</table>
</div>
</div>
</td></tr></table>
<div class="jd-descr">
<h2>Class Overview</h2>
<p itemprop="articleBody">UserRecoverableExceptions signal errors that can be recovered with user
action, such as a user login.
</p>
</div><!-- jd-descr -->
<div class="jd-descr">
<h2>Summary</h2>
<!-- ======== CONSTRUCTOR SUMMARY ======== -->
<table id="pubctors" class="jd-sumtable"><tr><th colspan="12">Public Constructors</th></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad"><a href="../../../../../../reference/com/google/android/gms/common/UserRecoverableException.html#UserRecoverableException(java.lang.String, android.content.Intent)">UserRecoverableException</a></span>(<a href="http://developer.android.com/reference/java/lang/String.html">String</a> msg, <a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a> intent)</nobr>
</td></tr>
</table>
<!-- ========== METHOD SUMMARY =========== -->
<table id="pubmethods" class="jd-sumtable"><tr><th colspan="12">Public Methods</th></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad"><a href="../../../../../../reference/com/google/android/gms/common/UserRecoverableException.html#getIntent()">getIntent</a></span>()</nobr>
<div class="jd-descrdiv">Getter for an <code><a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a></code> that when supplied to <code><a href="http://developer.android.com/reference/android/app/Activity.html#startActivityForResult(android.content.Intent, int)">startActivityForResult(Intent, int)</a></code>, will allow user intervention.</div>
</td></tr>
</table>
<!-- ========== METHOD SUMMARY =========== -->
<table id="inhmethods" class="jd-sumtable"><tr><th>
<a href="#" class="toggle-all" onclick="return toggleAllInherited(this, null)">[Expand]</a>
<div style="clear:left;">Inherited Methods</div></th></tr>
<tr class="api apilevel-" >
<td colspan="12">
<a href="#" onclick="return toggleInherited(this, null)" id="inherited-methods-java.lang.Throwable" class="jd-expando-trigger closed"
><img id="inherited-methods-java.lang.Throwable-trigger"
src="../../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>
From class
<a href="http://developer.android.com/reference/java/lang/Throwable.html">java.lang.Throwable</a>
<div id="inherited-methods-java.lang.Throwable">
<div id="inherited-methods-java.lang.Throwable-list"
class="jd-inheritedlinks">
</div>
<div id="inherited-methods-java.lang.Throwable-summary" style="display: none;">
<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">addSuppressed</span>(<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable</a> arg0)</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">fillInStackTrace</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getCause</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/String.html">String</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getLocalizedMessage</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/String.html">String</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getMessage</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/StackTraceElement.html">StackTraceElement[]</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getStackTrace</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
final
<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable[]</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getSuppressed</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">initCause</span>(<a href="http://developer.android.com/reference/java/lang/Throwable.html">Throwable</a> arg0)</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">printStackTrace</span>(<a href="http://developer.android.com/reference/java/io/PrintStream.html">PrintStream</a> arg0)</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">printStackTrace</span>(<a href="http://developer.android.com/reference/java/io/PrintWriter.html">PrintWriter</a> arg0)</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">printStackTrace</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">setStackTrace</span>(<a href="http://developer.android.com/reference/java/lang/StackTraceElement.html">StackTraceElement[]</a> arg0)</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/String.html">String</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">toString</span>()</nobr>
</td></tr>
</table>
</div>
</div>
</td></tr>
<tr class="api apilevel-" >
<td colspan="12">
<a href="#" onclick="return toggleInherited(this, null)" id="inherited-methods-java.lang.Object" class="jd-expando-trigger closed"
><img id="inherited-methods-java.lang.Object-trigger"
src="../../../../../../assets/images/triangle-closed.png"
class="jd-expando-trigger-img" /></a>
From class
<a href="http://developer.android.com/reference/java/lang/Object.html">java.lang.Object</a>
<div id="inherited-methods-java.lang.Object">
<div id="inherited-methods-java.lang.Object-list"
class="jd-inheritedlinks">
</div>
<div id="inherited-methods-java.lang.Object-summary" style="display: none;">
<table class="jd-sumtable-expando">
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/Object.html">Object</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">clone</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
boolean</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">equals</span>(<a href="http://developer.android.com/reference/java/lang/Object.html">Object</a> arg0)</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">finalize</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
final
<a href="http://developer.android.com/reference/java/lang/Class.html">Class</a><?></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">getClass</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
int</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">hashCode</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">notify</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">notifyAll</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
<a href="http://developer.android.com/reference/java/lang/String.html">String</a></nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">toString</span>()</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">wait</span>()</nobr>
</td></tr>
<tr class=" api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">wait</span>(long arg0, int arg1)</nobr>
</td></tr>
<tr class="alt-color api apilevel-" >
<td class="jd-typecol"><nobr>
final
void</nobr>
</td>
<td class="jd-linkcol" width="100%"><nobr>
<span class="sympad">wait</span>(long arg0)</nobr>
</td></tr>
</table>
</div>
</div>
</td></tr>
</table>
</div><!-- jd-descr (summary) -->
<!-- Details -->
<!-- XML Attributes -->
<!-- Enum Values -->
<!-- Constants -->
<!-- Fields -->
<!-- Public ctors -->
<!-- ========= CONSTRUCTOR DETAIL ======== -->
<h2>Public Constructors</h2>
<A NAME="UserRecoverableException(java.lang.String, android.content.Intent)"></A>
<div class="jd-details api apilevel-">
<h4 class="jd-details-title">
<span class="normal">
public
</span>
<span class="sympad">UserRecoverableException</span>
<span class="normal">(<a href="http://developer.android.com/reference/java/lang/String.html">String</a> msg, <a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a> intent)</span>
</h4>
<div class="api-level">
<div></div>
</div>
<div class="jd-details-descr">
<div class="jd-tagdata jd-tagdescr"><p></p></div>
</div>
</div>
<!-- ========= CONSTRUCTOR DETAIL ======== -->
<!-- Protected ctors -->
<!-- ========= METHOD DETAIL ======== -->
<!-- Public methdos -->
<h2>Public Methods</h2>
<A NAME="getIntent()"></A>
<div class="jd-details api apilevel-">
<h4 class="jd-details-title">
<span class="normal">
public
<a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a>
</span>
<span class="sympad">getIntent</span>
<span class="normal">()</span>
</h4>
<div class="api-level">
<div></div>
</div>
<div class="jd-details-descr">
<div class="jd-tagdata jd-tagdescr"><p>Getter for an <code><a href="http://developer.android.com/reference/android/content/Intent.html">Intent</a></code> that when supplied to <code><a href="http://developer.android.com/reference/android/app/Activity.html#startActivityForResult(android.content.Intent, int)">startActivityForResult(Intent, int)</a></code>, will allow user intervention.</p></div>
<div class="jd-tagdata">
<h5 class="jd-tagtitle">Returns</h5>
<ul class="nolist"><li>Intent representing the ameliorating user action.
</li></ul>
</div>
</div>
</div>
<!-- ========= METHOD DETAIL ======== -->
<!-- ========= END OF CLASS DATA ========= -->
<A NAME="navbar_top"></A>
<div id="footer" class="wrap" >
<div id="copyright">
Except as noted, this content is licensed under <a
href="http://www.apache.org/licenses/LICENSE-2.0">Apache 2.0</a>.
For details and restrictions, see the <a href="../../../../../../license.html">
Content License</a>.
</div>
<div id="build_info">
Android GmsCore 1501030 r —
<script src="../../../../../../timestamp.js" type="text/javascript"></script>
<script>document.write(BUILD_TIMESTAMP)</script>
</div>
<div id="footerlinks">
<p>
<a href="../../../../../../about/index.html">About Android</a> |
<a href="../../../../../../legal.html">Legal</a> |
<a href="../../../../../../support.html">Support</a>
</p>
</div>
</div> <!-- end footer -->
</div> <!-- jd-content -->
</div><!-- end doc-content -->
</div> <!-- end body-content -->
</body>
</html>
| gudnam/bringluck | google_play_services/docs/reference/com/google/android/gms/common/UserRecoverableException.html | HTML | apache-2.0 | 47,680 |
---
layout: home
photo_url: "/assets/images/fb_photo.jpg"
---
<article class="home">
<section id="contenedor_front_main" style="height: 606px;">
<div class="contenedor_name_app">
<h1 class="name_app">{{ site.title }}</h1>
</div>
<div class="contenedor_text_pasion">
<p class="pasion">Esto es lo que me apasiona y voy a seguir haciéndolo hasta que Dios lo permita</p>
</div>
</section>
<div class="page-content">
<div class="wrapper">
<section class="contenedor_eslogan">
<div class="slider">
<div id="s1" class="s_element">
<span>No soy brillante pero todos tenemos la capacidad de mejorar!</span>
</div>
<div id="s2" class="s_element">
<span>Cada día se aprende algo nuevo.</span>
</div>
<div id="s3" class="s_element s_visible">
<span>La memoria es como el mal amigo; cuando más falta te hace, te falla.</span>
</div>
<div id="s4" class="s_element">
<span>Dios aprieta, pero no ahoga</span>
</div>
</div>
</section>
<section class="estado_01luisrene">
<h2 class="titulo_estado_emocional titulo_seccion">Estado emocional</h2>
<div id="img_estado">
<i class="fa fa-5x carita fa-smile-o"></i>
</div>
</section>
<section class="datos_personales">
<h2 class="titulo_seccion">Datos Personales</h2>
<div class="wrap">
<table class="lista_datos_personales">
<tr>
<td>
<i class="fa fa-black-tie fa-2x traje"></i>
</td>
<td>
<p>Luis Rene Mas Mas</p>
</td>
</tr>
<tr>
<td>
<i class="fa fa-mars fa-2x sexo"></i>
</td>
<td><p>Masculino</p></td>
</tr>
<tr>
<td>
<i class="fa fa-heart fa-2x corazon"></i>
</td>
<td><p>Casado con: </p><a href="https://twitter.com/Danythza_ayd" title="Mi linda esposa" target="_blank">Danythza</a>
</td>
</tr>
<tr>
<td>
<i class="fa fa-graduation-cap fa-2x graduacion"></i>
</td>
<td><p>Técnico en Computación e Informática</p></td>
</tr>
<tr>
<td>
<i class="fa fa-briefcase fa-2x maletin"></i>
</td>
<td><p>Instituto Nacional Penitenciario</p></td>
</tr>
<tr>
<td>
<i class="fa fa-birthday-cake fa-2x cake"></i>
</td>
<td><p>21 de Junio</p></td>
</tr>
<tr>
<td>
<i class="fa fa-mobile fa-2x phone"></i>
</td>
<td>
<span id="movistar" title="Movistar">+051 954336108</span> <span id="claro" class="hidden" title="Claro">+051 00000000</span>
</td>
</tr>
<tr>
<td>
<i class="fa fa-map-marker fa-2x ubicacion"></i>
</td>
<td>
<address><p> Chachapoyas - Amazonas -Perú</p></address>
</td>
</tr>
</table>
</div> <!-- fin de wrap -->
</section>
<section class="estudios_realizados">
<h2 class="titulo_seccion">Formación Académica</h2>
<div class="wrap">
<ul class="lista_estudios_realizados">
<li>
<p> Institución Educativa N° 18003 "Santa Rosa" - Chachapoyas</p>
</li>
<li>
<p> Institución Educativa “Santiago Antúnez de Mayolo” - Chachapoyas</p></li>
<li class="graduacion_instituto">
<p> Instituto de Educación Superior Público "Perú-Japón" - Chachapoyas</p>
</li>
</ul>
</div> <!--fin wrap-->
</section>
<section class="conocimientos">
<h2 class="titulo_seccion">Conocimientos</h2>
<div class="wrap">
<p>No soy un guru pero desarrollo aplicaciones hermosas...!</p>
<div class="tecnologias_web">
<h3>Tecnologías Web:</h3>
<ul>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> HTML5</p>
</li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> CSS3</p></li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> LESS</p></li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> JavaScript</p>
</li>
<li>
<i class="fa fa-battery-half fa-2x bateria-half"></i>
<p> NODE.js</p>
</li>
<!-- <li>
<i class="fa fa-battery-half fa-2x bateria-half"></i>
<p> PYTHON</p>
</li> -->
<li>
<i class="fa fa-battery-half fa-2x bateria-half"></i>
<p> PHP</p>
</li>
</ul>
</div>
<div class="tecnologias_web">
<h3>Frameworks:</h3>
<ul>
<!-- <li>
<i class="fa fa-battery-empty fa-2x bateria-empty"></i>
<p> Django</p>
</li> -->
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> Ghost</p>
</li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> WordPress</p>
</li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> Jekyll</p>
</li>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> Bootstrap</p>
</li>
</ul>
</div>
<div class="tecnologias_web">
<h3>Librerías:</h3>
<ul>
<li>
<i class="fa fa-battery-full fa-2x bateria-full"></i>
<p> jQuery</p>
</li>
</ul>
</div>
<div class="tecnologias_web">
<h3>Sistemas de gestión de DB:</h3>
<ul>
<li>
<i class="fa fa-database fa-2x db"></i>
<p> MySQL</p>
</li>
<li>
<i class="fa fa-database fa-2x db"></i>
<p> MongoDB</p>
</li>
</ul>
</div>
<div class="tecnologias_web">
<h3>Sistemas Operativos que utilizo:</h3>
<ul>
<li>
<i class="fa fa-windows fa-2x windows"></i>
<p> Windows</p>
</li>
<li>
<i class="fa fa-linux fa-2x linux"></i>
<p> Ubuntu</p>
</li>
</ul>
</div>
</div> <!-- fin de wrap -->
</section>
<section class="redes_sociales">
<h2 class="titulo_seccion">Redes Sociales</h2>
<div class="wrap">
<ul class="lista_redes_sociales">
<li>
<a href="https://www.facebook.com/01luisrene" title="Facebook" target="_blank" class="facebook">
<i class="fa fa-facebook-official fa-3x"></i>
</a>
</li>
<li>
<a href="https://plus.google.com/+01luisrene/about" title="Google Plus" target="_blank" class="google">
<i class="fa fa-google-plus-square fa-3x"></i>
</a>
</li>
<li>
<a href="https://twitter.com/01luisrene" title="Twitter" target="_blank" class="twitter">
<i class="fa fa-twitter-square fa-3x"></i>
</a>
</li>
<li>
<a href="cel:+051-954336108" target="_blank" title="Whatsapp" class="whatsapp">
<i class="fa fa-whatsapp fa-3x"></i>
</a>
</li>
<li>
<a href="https://www.youtube.com/user/01luisrene" title="YouTube" target="_blank" class="youtube">
<i class="fa fa-youtube-square fa-3x"></i>
</a>
</li>
<li>
<a href="mailto:[email protected]" title="Escribeme" target="_blank" class="escribeme">
<i class="fa fa-envelope fa-3x"></i>
</a>
</li>
</ul>
</div><!-- fin de wrap -->
</section>
<section class="colaborador">
<h2 class="titulo_seccion">Colaborador en:</h2>
<div class="wrap">
<ul class="lista_colaborador_en">
<li>
<a href="https://github.com/01luisrene" target="_blank" class="github">
<i class="fa fa-github fa-3x"></i>
<p> GitHub</p>
</a>
</li>
</ul>
</div><!-- fin de wrap -->
</section>
<section class="sitios_webs">
<h2 class="titulo_seccion">Sitios Web</h2>
<div class="wrap">
<ul class="lista_sitios_webs">
<li>
<a href="http://01luisrene.com" title="http://01luisrene.com" target="_blank" class="cerounoluisrene">
<i class="fa fa-globe fa-2x"></i>
<p> 01luisrene.com</p>
</a>
</li>
</ul>
</div><!-- fin de wrap -->
</section>
<section class="lo_que_me_gusta">
<h2 class="titulo_seccion">Lo que me gusta:</h2>
<div class="wrap">
<table class="lista_lo_que_me_gusta">
<tr>
<td>
<i class="fa fa-terminal fa-2x hobbie"></i>
</td>
<td>
<p>Aprender tecnologías web, Móviles</p>
</td>
</tr>
<tr>
<td>
<i class="fa fa-music fa-2x hobbie"></i>
</td>
<td>
<p>Reggaeton, Electrónica, Cumbia, etc.</p>
</td>
</tr>
<tr>
<td>
<i class="fa fa-film fa-2x hobbie"></i>
</td>
<td>
<p>Acción, Comedia, Drama</p>
</td>
</tr>
<tr>
<td>
<i class="fa fa-cutlery fa-2x hobbie"></i>
</td>
<td>
<p>Cecina de res, Ceviche, Parihuela</p>
</td>
</tr>
<tr>
<td>
<i class="fa fa-sun-o fa-2x sol"></i>
</td>
<td>
<p>Ir a la playa con mi familia</p>
</td>
</tr>
</table>
</div><!-- fin de wrap -->
</section>
</div>
</div>
</article> | 01luisrene/recursosWeb | 01luisrene/01luisrene v1.0/index.html | HTML | apache-2.0 | 9,562 |
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Kiwi.Textures.SingleImage - Kiwi.js</title>
<link rel="stylesheet" href="http://yui.yahooapis.com/3.9.1/build/cssgrids/cssgrids-min.css">
<link rel="stylesheet" href="../assets/vendor/prettify/prettify-min.css">
<link rel="stylesheet" href="../assets/css/main.css" id="site_styles">
<link rel="shortcut icon" type="image/png" href="../assets/favicon.png">
<script src="http://yui.yahooapis.com/combo?3.9.1/build/yui/yui-min.js"></script>
</head>
<body class="yui3-skin-sam">
<div id="doc">
<div id="hd" class="yui3-g header">
<div class="yui3-u-3-4">
<h1><img src="../assets/css/logo.png" title="Kiwi.js"></h1>
</div>
<div class="yui3-u-1-4 version">
<em>API Docs for: 1.0.1</em>
</div>
</div>
<div id="bd" class="yui3-g">
<div class="yui3-u-1-4">
<div id="docs-sidebar" class="sidebar apidocs">
<div id="api-list">
<h2 class="off-left">APIs</h2>
<div id="api-tabview" class="tabview">
<ul class="tabs">
<li><a href="#api-classes">Classes</a></li>
<li><a href="#api-modules">Modules</a></li>
</ul>
<div id="api-tabview-filter">
<input type="search" id="api-filter" placeholder="Type to filter APIs">
</div>
<div id="api-tabview-panel">
<ul id="api-classes" class="apis classes">
<li><a href="../classes/Kiwi.Animations.Animation.html">Kiwi.Animations.Animation</a></li>
<li><a href="../classes/Kiwi.Animations.Sequence.html">Kiwi.Animations.Sequence</a></li>
<li><a href="../classes/Kiwi.Animations.Tween.html">Kiwi.Animations.Tween</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Back.html">Kiwi.Animations.Tweens.Easing.Back</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Bounce.html">Kiwi.Animations.Tweens.Easing.Bounce</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Circular.html">Kiwi.Animations.Tweens.Easing.Circular</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Cubic.html">Kiwi.Animations.Tweens.Easing.Cubic</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Elastic.html">Kiwi.Animations.Tweens.Easing.Elastic</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Exponential.html">Kiwi.Animations.Tweens.Easing.Exponential</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Linear.html">Kiwi.Animations.Tweens.Easing.Linear</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Quadratic.html">Kiwi.Animations.Tweens.Easing.Quadratic</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Quartic.html">Kiwi.Animations.Tweens.Easing.Quartic</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Quintic.html">Kiwi.Animations.Tweens.Easing.Quintic</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.Easing.Sinusoidal.html">Kiwi.Animations.Tweens.Easing.Sinusoidal</a></li>
<li><a href="../classes/Kiwi.Animations.Tweens.TweenManager.html">Kiwi.Animations.Tweens.TweenManager</a></li>
<li><a href="../classes/Kiwi.Camera.html">Kiwi.Camera</a></li>
<li><a href="../classes/Kiwi.CameraManager.html">Kiwi.CameraManager</a></li>
<li><a href="../classes/Kiwi.Component.html">Kiwi.Component</a></li>
<li><a href="../classes/Kiwi.ComponentManager.html">Kiwi.ComponentManager</a></li>
<li><a href="../classes/Kiwi.Components.AnimationManager.html">Kiwi.Components.AnimationManager</a></li>
<li><a href="../classes/Kiwi.Components.ArcadePhysics.html">Kiwi.Components.ArcadePhysics</a></li>
<li><a href="../classes/Kiwi.Components.Box.html">Kiwi.Components.Box</a></li>
<li><a href="../classes/Kiwi.Components.Input.html">Kiwi.Components.Input</a></li>
<li><a href="../classes/Kiwi.Components.Sound.html">Kiwi.Components.Sound</a></li>
<li><a href="../classes/Kiwi.Entity.html">Kiwi.Entity</a></li>
<li><a href="../classes/Kiwi.Files.DataLibrary.html">Kiwi.Files.DataLibrary</a></li>
<li><a href="../classes/Kiwi.Files.File.html">Kiwi.Files.File</a></li>
<li><a href="../classes/Kiwi.Files.FileStore.html">Kiwi.Files.FileStore</a></li>
<li><a href="../classes/Kiwi.Files.Loader.html">Kiwi.Files.Loader</a></li>
<li><a href="../classes/Kiwi.Game.html">Kiwi.Game</a></li>
<li><a href="../classes/Kiwi.GameManager.html">Kiwi.GameManager</a></li>
<li><a href="../classes/Kiwi.GameObjects.Sprite.html">Kiwi.GameObjects.Sprite</a></li>
<li><a href="../classes/Kiwi.GameObjects.StaticImage.html">Kiwi.GameObjects.StaticImage</a></li>
<li><a href="../classes/Kiwi.GameObjects.Textfield.html">Kiwi.GameObjects.Textfield</a></li>
<li><a href="../classes/Kiwi.GameObjects.Tilemap.TileMap.html">Kiwi.GameObjects.Tilemap.TileMap</a></li>
<li><a href="../classes/Kiwi.GameObjects.Tilemap.TileMapLayer.html">Kiwi.GameObjects.Tilemap.TileMapLayer</a></li>
<li><a href="../classes/Kiwi.GameObjects.Tilemap.TileType.html">Kiwi.GameObjects.Tilemap.TileType</a></li>
<li><a href="../classes/Kiwi.Geom.AABB.html">Kiwi.Geom.AABB</a></li>
<li><a href="../classes/Kiwi.Geom.Circle.html">Kiwi.Geom.Circle</a></li>
<li><a href="../classes/Kiwi.Geom.Intersect.html">Kiwi.Geom.Intersect</a></li>
<li><a href="../classes/Kiwi.Geom.IntersectResult.html">Kiwi.Geom.IntersectResult</a></li>
<li><a href="../classes/Kiwi.Geom.Line.html">Kiwi.Geom.Line</a></li>
<li><a href="../classes/Kiwi.Geom.Matrix.html">Kiwi.Geom.Matrix</a></li>
<li><a href="../classes/Kiwi.Geom.Point.html">Kiwi.Geom.Point</a></li>
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<h1>Kiwi.Textures.SingleImage Class</h1>
<div class="box meta">
<div class="extends">
Extends TextureAtlas
</div>
<div class="foundat">
Defined in: <a href="../files/src_textures_SingleImage.ts.html#l10"><code>src\textures\SingleImage.ts:10</code></a>
</div>
Module: <a href="../modules/Textures.html">Textures</a><br>
Parent Module: <a href="../modules/Kiwi.html">Kiwi</a>
</div>
<div class="box intro">
<p>A special type of TextureAtlas that is used when the user has loaded a single image. This type of TextureAtlas contains only one cell which is generally the whole width/height of the image and starts at the coordinates 0/0. A SingleImage has a space to store sequences but this will not be used.</p>
</div>
<div class="constructor">
<h2>Constructor</h2>
<div id="method_Kiwi.Textures.SingleImage" class="method item">
<h3 class="name"><code>Kiwi.Textures.SingleImage</code></h3>
<div class="args">
<span class="paren">(</span><ul class="args-list inline commas">
<li class="arg">
<code>name</code>
</li>
<li class="arg">
<code>image</code>
</li>
<li class="arg">
<code class="optional">[width]</code>
</li>
<li class="arg">
<code class="optional">[height]</code>
</li>
<li class="arg">
<code class="optional">[offsetX]</code>
</li>
<li class="arg">
<code class="optional">[offsetY]</code>
</li>
</ul><span class="paren">)</span>
</div>
<span class="returns-inline">
<span class="type">Kiwi.SingleImage</span>
</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l10"><code>src\textures\SingleImage.ts:10</code></a>
</p>
</div>
<div class="description">
</div>
<div class="params">
<h4>Parameters:</h4>
<ul class="params-list">
<li class="param">
<code class="param-name">name</code>
<span class="type">String</span>
<div class="param-description">
<p>The name of the single image</p>
</div>
</li>
<li class="param">
<code class="param-name">image</code>
<span class="type">HTMLImageElement/HTMLCanvasElement</span>
<div class="param-description">
<p>the image that is being used.</p>
</div>
</li>
<li class="param">
<code class="param-name optional">[width]</code>
<span class="type">Number</span>
<span class="flag optional" title="This parameter is optional.">optional</span>
<div class="param-description">
<p>the width of the image</p>
</div>
</li>
<li class="param">
<code class="param-name optional">[height]</code>
<span class="type">Number</span>
<span class="flag optional" title="This parameter is optional.">optional</span>
<div class="param-description">
<p>the height of the image</p>
</div>
</li>
<li class="param">
<code class="param-name optional">[offsetX]</code>
<span class="type">Number</span>
<span class="flag optional" title="This parameter is optional.">optional</span>
<div class="param-description">
<p>the offset of the image on the x axis. Useful if the image has a border that you don't want to show.</p>
</div>
</li>
<li class="param">
<code class="param-name optional">[offsetY]</code>
<span class="type">Number</span>
<span class="flag optional" title="This parameter is optional.">optional</span>
<div class="param-description">
<p>the offset of the image of the y axis. Useful if the image has a border that you don't want to show.</p>
</div>
</li>
</ul>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
<span class="type">Kiwi.SingleImage</span>:
</div>
</div>
</div>
</div>
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<li class="api-class-tab index"><a href="#index">Index</a></li>
<li class="api-class-tab methods"><a href="#methods">Methods</a></li>
<li class="api-class-tab properties"><a href="#properties">Properties</a></li>
</ul>
<div>
<div id="index" class="api-class-tabpanel index">
<h2 class="off-left">Item Index</h2>
<div class="index-section methods">
<h3>Methods</h3>
<ul class="index-list methods extends">
<li class="index-item method public">
<a href="#method_generateAtlasCells">generateAtlasCells</a>
</li>
<li class="index-item method public">
<a href="#method_objType">objType</a>
</li>
</ul>
</div>
<div class="index-section properties">
<h3>Properties</h3>
<ul class="index-list properties extends">
<li class="index-item property private">
<a href="#property_height">height</a>
</li>
<li class="index-item property private">
<a href="#property_offsetX">offsetX</a>
</li>
<li class="index-item property private">
<a href="#property_offsetY">offsetY</a>
</li>
<li class="index-item property private">
<a href="#property_width">width</a>
</li>
</ul>
</div>
</div>
<div id="methods" class="api-class-tabpanel">
<h2 class="off-left">Methods</h2>
<div id="method_generateAtlasCells" class="method item public">
<h3 class="name"><code>generateAtlasCells</code></h3>
<span class="paren">()</span>
<span class="returns-inline">
<span class="type">Array</span>
</span>
<span class="flag public">public</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l78"><code>src\textures\SingleImage.ts:78</code></a>
</p>
</div>
<div class="description">
<p>This method generates the single image cell based off the information that was passed during instantion.</p>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
<span class="type">Array</span>:
</div>
</div>
</div>
<div id="method_objType" class="method item public">
<h3 class="name"><code>objType</code></h3>
<span class="paren">()</span>
<span class="returns-inline">
<span class="type"></span>
</span>
<span class="flag public">public</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l36"><code>src\textures\SingleImage.ts:36</code></a>
</p>
</div>
<div class="description">
<p>The type of object that this is.</p>
</div>
<div class="returns">
<h4>Returns:</h4>
<div class="returns-description">
<p>string</p>
</div>
</div>
</div>
</div>
<div id="properties" class="api-class-tabpanel">
<h2 class="off-left">Properties</h2>
<div id="property_height" class="property item private">
<h3 class="name"><code>height</code></h3>
<span class="type">Number</span>
<span class="flag private">private</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l54"><code>src\textures\SingleImage.ts:54</code></a>
</p>
</div>
<div class="description">
<p>The height of the image.</p>
</div>
</div>
<div id="property_offsetX" class="property item private">
<h3 class="name"><code>offsetX</code></h3>
<span class="type">Number</span>
<span class="flag private">private</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l62"><code>src\textures\SingleImage.ts:62</code></a>
</p>
</div>
<div class="description">
<p>The offset for the image on the X axis.</p>
</div>
</div>
<div id="property_offsetY" class="property item private">
<h3 class="name"><code>offsetY</code></h3>
<span class="type">Number</span>
<span class="flag private">private</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l70"><code>src\textures\SingleImage.ts:70</code></a>
</p>
</div>
<div class="description">
<p>The offset for the image on the Y axis.</p>
</div>
</div>
<div id="property_width" class="property item private">
<h3 class="name"><code>width</code></h3>
<span class="type">Number</span>
<span class="flag private">private</span>
<div class="meta">
<p>
Defined in
<a href="../files/src_textures_SingleImage.ts.html#l46"><code>src\textures\SingleImage.ts:46</code></a>
</p>
</div>
<div class="description">
<p>The width of the image.</p>
</div>
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</div>
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</h4></div></div></div>
<p>
<a class="indexterm" name="idp160995104"></a>
Request the executor to invoke the given function object.
</p>
<pre class="programlisting"><span class="keyword">template</span><span class="special"><</span>
<span class="keyword">typename</span> <span class="identifier">Function</span><span class="special">,</span>
<span class="keyword">typename</span> <span class="identifier">Allocator</span><span class="special">></span>
<span class="keyword">void</span> <span class="identifier">post</span><span class="special">(</span>
<span class="identifier">Function</span> <span class="special">&&</span> <span class="identifier">f</span><span class="special">,</span>
<span class="keyword">const</span> <span class="identifier">Allocator</span> <span class="special">&</span> <span class="identifier">a</span><span class="special">);</span>
</pre>
<p>
This function is used to ask the executor to execute the given function
object. The function object is executed according to the rules of the target
executor object.
</p>
<h6>
<a name="asio.reference.executor.post.h0"></a>
<span><a name="asio.reference.executor.post.parameters"></a></span><a class="link" href="post.html#asio.reference.executor.post.parameters">Parameters</a>
</h6>
<div class="variablelist">
<p class="title"><b></b></p>
<dl>
<dt><span class="term">f</span></dt>
<dd>
<p>
The function object to be called. The executor will make a copy of
the handler object as required. The function signature of the function
object must be:
</p>
<pre class="programlisting"><span class="keyword">void</span> <span class="identifier">function</span><span class="special">();</span>
</pre>
<p>
</p>
</dd>
<dt><span class="term">a</span></dt>
<dd><p>
An allocator that may be used by the executor to allocate the internal
storage needed for function invocation.
</p></dd>
</dl>
</div>
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Kohlhoff<p>
Distributed under the Boost Software License, Version 1.0. (See accompanying
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| chrissmall22/GSage | mockups/bs_demo.html | HTML | apache-2.0 | 3,181 |
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| anuragkapur/cassandra-2.1.2-ak-skynet | apache-cassandra-2.0.15/javadoc/org/apache/cassandra/cql3/statements/class-use/SelectStatement.html | HTML | apache-2.0 | 4,513 |
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8"/>
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Serenity Reports</title>
<link rel="shortcut icon" href="favicon.ico">
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<![endif]--><link rel="stylesheet" type="text/css" href="jqplot/1.0.8/jquery.jqplot.min.css"/>
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<script type="text/javascript" src="jqplot/1.0.8/plugins/jqplot.pieRenderer.min.js"></script>
<script class="code" type="text/javascript">$(document).ready(function () {
var test_results_plot = $.jqplot('test_results_pie_chart', [
[
['Passing', 1],
['Pending', 0],
['Ignored', 0],
['Failing', 0],
['Errors', 0],
['Compromised', 0]
]
], {
gridPadding: {top: 0, bottom: 38, left: 0, right: 0},
seriesColors: ['#30cb23',
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seriesDefaults: {
renderer: $.jqplot.PieRenderer,
trendline: { show: false },
rendererOptions: { padding: 8, showDataLabels: true }
},
legend: {
show: true,
placement: 'outside',
rendererOptions: {
numberRows: 2
},
location: 's',
marginTop: '15px'
},
series: [
{label: '2 / 2 tests passed' },
{label: '0 / 2 tests pending'},
{label: '0 / 2 tests not executed'},
{label: '0 / 2 tests failed'},
{label: '0 / 2 errors'},
{label: '0 / 2 compromised tests'}
]
});
var weighted_test_results_plot = $.jqplot('weighted_test_results_pie_chart', [
[
['Passing', 1],
['Pending', 0],
['Ignored', 0],
['Failing', 0],
['Errors', 0],
['Compromised', 0],
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], {
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seriesColors: ['#30cb23',
'#a2f2f2',
'#eeeadd',
'#f8001f',
'#fc6e1f',
'mediumvioletred'],
seriesDefaults: {
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trendline: { show: false },
rendererOptions: { padding: 8, showDataLabels: true }
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legend: {
show: true,
placement: 'outside',
rendererOptions: {
numberRows: 2
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location: 's',
marginTop: '15px'
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series: [
{label: '2 / 2 tests passed (1% of all test steps)' },
{label: '0 / 2 tests pending'},
{label: '0 / 2 tests not executed'},
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$('#toggleNormalPieChart').click(function () {
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<div id="logo"><a href="index.html"><img src="images/serenity-bdd-logo.png" border="0"/></a></div>
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> Passing Tests
</span>
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<!--/* starts second table*/-->
<div>
<ul class="nav nav-tabs" role="tablist">
<li class="active">
<a href="#"><i class="fa fa-check-square-o"></i> Overall Test Results</a>
</li>
<li >
<a href="capabilities.html"><i class="fa fa-book"></i> Requirements</a>
</li>
<li >
<a href="e3a5a59a6d792683cf33d050ee0f6f92.html"><i class="fa fa-comments-o"></i> Capabilities</a>
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<a href="d782c44557441225cc92a5e35bf4b23b.html"><i class="fa fa-comments-o"></i> Features</a>
</li>
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<a href="5f5dee50b3955739bfb580c79f480d2e.html"><i class="fa fa-comments-o"></i> Stories</a>
</li>
</ul>
<span class="date-and-time"><a href="build-info.html"><i class="fa fa-info-circle"></i></a> Report generated 12-07-2018 19:09</span>
<br style="clear:left"/>
</div>
<div class="clr"></div>
<div id="beforetable"></div>
<div id="results-dashboard">
<div class="middlb">
<div class="table">
<h2>Passing Tests</h2>
<table class='overview'>
<tr>
<td width="375px" valign="top">
<div class="test-count-summary">
<span class="test-count-title">2
test scenarios </span>
<div>
<span class="test-count"> |
2
passed
</span>
|
<a href="ce81faa7993810e83b16bc3457e28b78.csv" title="Download CSV"> <i class="fa fa-download" title="Download CSV"></i></a>
</div>
</div>
<div id="test-results-tabs">
<ul>
<li><a href="#test-results-tabs-1">Test Count</a></li>
<li><a href="#test-results-tabs-2">Weighted Tests</a></li>
</ul>
<div id="test-results-tabs-1">
<table>
<tr>
<td colspan="2">
<span class="caption">Distribution of tests (including rows in data-driven tests) by test result.</span>
<span class="togglePieChart" id="toggleNormalPieChart"><a href="#">Show/Hide Pie Chart</a></span>
</td>
</tr>
<tr>
<td style="vertical-align: text-top;">
<div id="test_results_pie_chart"></div>
</td>
<td class="related-tags-section">
<div>
<div>
<h4>Test Result Summary</h4>
<table class="summary-table">
<head>
<tr>
<th>Test Type</th>
<th>Total</th>
<th>Pass <i class="icon-check"/> </th>
<th>Fail <i class="icon-thumbs-down"/></th>
<th>Pending <i class="icon-calendar"/></th>
<th>Ignored <i class="icon-ban-circle"/></th>
</tr>
</head>
<body>
<tr>
<td class="summary-leading-column">Automated</td>
<td>2</td>
<td>2 (100%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Manual</td>
<td>0</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Total</td>
<td>2</td>
<td>2 (100%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Total Duration</td>
<td colspan="5">19 seconds</td>
</tr>
</body>
</table>
</div> </div>
<div>
<table class="tags-summary-table">
<tr>
<td width="300px"><h3>Related Tags</h3></td>
<td width="90px" class="tag-count-header">% Passed</td>
<td width="130px" class="test-count"> </td>
<td class="tag-count-header">Test count</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Capabilities
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="e00849d12b3dcca7e678293eff805927.html" title="Manage Shipments">Manage Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="e00849d12b3dcca7e678293eff805927.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Features
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="6ab500073c0dd3a6024314cdfa98a07e.html" title="Show List Of Shipments">Show List Of Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="6ab500073c0dd3a6024314cdfa98a07e.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Stories
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="ed5341d7f910e881df469cf300699931.html" title="Show Current Shipments">Show Current Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="ed5341d7f910e881df469cf300699931.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
</div>
</td>
</tr>
</table>
</div>
<div id="test-results-tabs-2">
<table>
<tr>
<td colspan="2">
<span class="caption">Test results weighted by test size in steps (average steps per test: 6) .</span>
<span class="togglePieChart" id="toggleWeightedPieChart"><a href="#">Show/Hide Pie
Chart</a></span>
</td>
</tr>
<tr>
<td style="vertical-align: text-top;">
<div id="weighted_test_results_pie_chart"></div>
</td>
<td class="related-tags-section">
<div>
<div>
<h4>Test Result Summary</h4>
<table class="summary-table">
<head>
<tr>
<th>Test Type</th>
<th>Total</th>
<th>Pass <i class="icon-check"/> </th>
<th>Fail <i class="icon-thumbs-down"/></th>
<th>Pending <i class="icon-calendar"/></th>
<th>Ignored <i class="icon-ban-circle"/></th>
</tr>
</head>
<body>
<tr>
<td class="summary-leading-column">Automated</td>
<td>2</td>
<td>2 (100%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Manual</td>
<td>0</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Total</td>
<td>2</td>
<td>2 (100%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
<td>0 (0%)</td>
</tr>
<tr>
<td class="summary-leading-column">Total Duration</td>
<td colspan="5">19 seconds</td>
</tr>
</body>
</table>
</div> </div>
<div>
<table class="tags-summary-table">
<tr>
<td width="300px"><h3>Related Tags</h3></td>
<td width="90px" class="tag-count-header">% Passed</td>
<td width="130px" class="test-count"> </td>
<td class="tag-count-header">Test count</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Capabilities
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="e00849d12b3dcca7e678293eff805927.html" title="Manage Shipments">Manage Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="e00849d12b3dcca7e678293eff805927.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Features
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="6ab500073c0dd3a6024314cdfa98a07e.html" title="Show List Of Shipments">Show List Of Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="6ab500073c0dd3a6024314cdfa98a07e.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
<table class="test-summary-table">
<tr>
<td colspan="3">
<div class="tagTypeTitle">Stories
</div>
</td>
</tr>
<tr>
<td class="bluetext" class="tag-title">
<span class="SUCCESS-text ellipsis">
<a href="ed5341d7f910e881df469cf300699931.html" title="Show Current Shipments">Show Current Shipments</a>
</span>
</td>
<td width="220px" class="table-figure">
<table>
<tr>
<td class="related-tag-percentage"><span title="2 out of 2 tests (12 steps) passing">100%</span></td>
<td width="150px">
<a href="ed5341d7f910e881df469cf300699931.html">
<div class="pendingbar"
title="0 out of 2 tests (0 steps) pending"
style="width: 150px;">
<div class="ignoredbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) skipped or ignored">
<div class="compromisedbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) compromised">
<div class="errorbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) broken">
<div class="failingbar"
style="width: 150px;"
title="0 out of 2 tests (0 steps) failing">
<div class="passingbar"
style="width: 150px;"
title="2 out of 2 tests (12 steps) passing">
</div>
</div>
</div>
</div>
</div>
</div>
</a>
</td>
<td class="related-tag-count"><span class="result-test-count" title="2 tests">2</span></td>
</tr>
</table>
</td>
</tr>
</table>
</div>
</td>
</tr>
</table>
</div>
</div>
</td>
</tr>
</table>
<table>
<tr>
<td>
<div><h3>Tests</h3></div>
<div id="test_list_tests" class="table">
<div class="test-results">
<table id="test-results-table">
<thead>
<tr>
<th width="50" class="test-results-heading"> </th>
<th width="%" class="test-results-heading">Tests</th>
<th width="70" class="test-results-heading">Steps</th>
<th width="100" class="test-results-heading">Duration<br>(seconds)</th>
</tr>
</thead>
<tbody>
<tr class="test-SUCCESS">
<td><span class="summary-icon"><i class='fa fa-check-square-o success-icon ' title='SUCCESS'></i></span>
<span style="display:none">SUCCESS</span></td>
<td class="SUCCESS-text">
<div class="ellipsis">
<a href="2138514dcc65741a4a3776bb7a15278b.html" class="ellipsis" title="">
List Open Shipments With 1 Shipment
<span class="related-issue-title"></span>
</a>
</div>
</td>
<td class="lightgreentext">7</td>
<td class="lightgreentext">10.76</td>
</tr>
<tr class="test-SUCCESS">
<td><span class="summary-icon"><i class='fa fa-check-square-o success-icon ' title='SUCCESS'></i></span>
<span style="display:none">SUCCESS</span></td>
<td class="SUCCESS-text">
<div class="ellipsis">
<a href="7df2af59c516ecb71869fc11844aff09.html" class="ellipsis" title="">
List Open Shipments Without Shipments
<span class="related-issue-title"></span>
</a>
</div>
</td>
<td class="lightgreentext">5</td>
<td class="lightgreentext">7.86</td>
</tr>
</tbody>
</table>
</div>
</div>
</td>
</tr>
</table>
</div>
</div>
</div>
</div>
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<div class="block">BinaryIdempotentUnivariateRandom contains the Implementation of the Objective Function dependent on
Binary Idempotent Univariate Random Variable.</div>
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<div class="block">BoundedIdempotentUnivariateRandom contains the Implementation of the Objective Function dependent on
Bounded Idempotent Univariate Random Variable.</div>
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<h1 class="aui-h2-clover">
Test testAbaNumberCheck_25546_bad
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<a href="../../../../../com/cardatechnologies/utils/validators/abaroutevalidator/Test_AbaRouteValidator_13a.html?line=13169#src-13169" >testAbaNumberCheck_25546_bad</a>
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<span class="sortValue">1</span><span class="aui-lozenge aui-lozenge-success">PASS</span>
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7 Aug 12:41:53
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0.0 </td>
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<span class="sortValue">com.cardatechnologies.utils.validators.abaroutevalidator.exceptions.AbaRouteValidationException</span>
  <a href="../../../../../com/cardatechnologies/utils/validators/abaroutevalidator/exceptions/AbaRouteValidationException.html?id=36853#AbaRouteValidationException" title="AbaRouteValidationException" name="sl-43">com.cardatechnologies.utils.validators.abaroutevalidator.exceptions.AbaRouteValidationException</a>
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<td>
<span class="sortValue">0.5714286</span>57.1%
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<div title="57.1% Covered" style="min-width:40px;" class="barNegative contribBarNegative contribBarNegative"><div class="barPositive contribBarPositive contribBarPositive" style="width:57.1%"></div></div></div> </td>
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<td>
<span class="sortValue">0.5714286</span>57.1%
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<div title="57.1% Covered" style="min-width:40px;" class="barNegative contribBarNegative contribBarNegative"><div class="barPositive contribBarPositive contribBarPositive" style="width:57.1%"></div></div></div> </td>
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<span class="sortValue">com.cardatechnologies.utils.validators.abaroutevalidator.AbaRouteValidator</span>
  <a href="../../../../../com/cardatechnologies/utils/validators/abaroutevalidator/AbaRouteValidator.html?id=36853#AbaRouteValidator" title="AbaRouteValidator" name="sl-47">com.cardatechnologies.utils.validators.abaroutevalidator.AbaRouteValidator</a>
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<td>
<span class="sortValue">0.29411766</span>29.4%
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<div title="29.4% Covered" style="min-width:40px;" class="barNegative contribBarNegative contribBarNegative"><div class="barPositive contribBarPositive contribBarPositive" style="width:29.4%"></div></div></div> </td>
</tr>
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{% extends "horizon_lib/common/_modal_form.html" %}
{% load url from future %}
{% load i18n %}
{% block form_id %}create_cluster_form{% endblock %}
{% block form_action %}{% url 'horizon:project:data_processing.clusters:create' %}{% endblock %}
{% block modal-header %}{% trans "Launch Cluster" %}{% endblock %}
{% block modal-body %}
<div class="left">
<fieldset>
{% include "horizon_lib/common/_form_fields.html" %}
</fieldset>
</div>
{% endblock %}
{% block modal-footer %}
<input class="btn btn-primary pull-right" id="create_cluster_btn" type="submit" value="{% trans " Done" %}"/>
<a href="{% url 'horizon:project:data_processing.clusters:index' %}" class="btn btn-default secondary cancel close">{% trans "Cancel" %}</a>
{% endblock %}
| mrunge/openstack_horizon | openstack_horizon/dashboards/project/data_processing/clusters/templates/data_processing.clusters/_create_cluster.html | HTML | apache-2.0 | 793 |
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| luvit/luvit.io | static/api/require.html | HTML | apache-2.0 | 3,568 |
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<h2 title="Class PrivacyCriterion" class="title">Class PrivacyCriterion</h2>
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<li>java.lang.Object</li>
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<pre>public abstract class <span class="strong">PrivacyCriterion</span>
extends java.lang.Object
implements java.io.Serializable</pre>
<div class="block">An abstract base class for privacy criteria.</div>
<dl><dt><span class="strong">See Also:</span></dt><dd><a href="../../../../serialized-form.html#org.deidentifier.arx.criteria.PrivacyCriterion">Serialized Form</a></dd></dl>
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<td class="colOne"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#PrivacyCriterion(boolean,%20boolean)">PrivacyCriterion</a></strong>(boolean monotonicWithSuppression,
boolean monotonicWithGeneralization)</code>
<div class="block">Instantiates a new criterion.</div>
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<td class="colFirst"><code>abstract <a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html" title="class in org.deidentifier.arx.criteria">PrivacyCriterion</a></code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#clone()">clone</a></strong>()</code>
<div class="block">Clone</div>
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<tr class="rowColor">
<td class="colFirst"><code><a href="../../../../org/deidentifier/arx/ARXPopulationModel.html" title="class in org.deidentifier.arx">ARXPopulationModel</a></code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getPopulationModel()">getPopulationModel</a></strong>()</code>
<div class="block">Returns the associated population model, <code>null</code> if there is none.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>abstract int</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getRequirements()">getRequirements</a></strong>()</code>
<div class="block">Returns the criterion's requirements.</div>
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<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getRiskThresholdJournalist()">getRiskThresholdJournalist</a></strong>()</code>
<div class="block">Return journalist risk threshold, 1 if there is none</div>
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<tr class="altColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getRiskThresholdMarketer()">getRiskThresholdMarketer</a></strong>()</code>
<div class="block">Return marketer risk threshold, 1 if there is none</div>
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<tr class="rowColor">
<td class="colFirst"><code>double</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getRiskThresholdProsecutor()">getRiskThresholdProsecutor</a></strong>()</code>
<div class="block">Return prosecutor risk threshold, 1 if there is none</div>
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<tr class="altColor">
<td class="colFirst"><code><a href="../../../../org/deidentifier/arx/DataSubset.html" title="class in org.deidentifier.arx">DataSubset</a></code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#getSubset()">getSubset</a></strong>()</code>
<div class="block">Returns a research subset, <code>null</code> if no subset is available</div>
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<tr class="rowColor">
<td class="colFirst"><code>void</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#initialize(org.deidentifier.arx.framework.data.DataManager)">initialize</a></strong>(<a href="../../../../org/deidentifier/arx/framework/data/DataManager.html" title="class in org.deidentifier.arx.framework.data">DataManager</a> manager)</code>
<div class="block">Override this to initialize the criterion.</div>
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<td class="colFirst"><code>abstract boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#isAnonymous(org.deidentifier.arx.framework.check.groupify.HashGroupifyEntry)">isAnonymous</a></strong>(<a href="../../../../org/deidentifier/arx/framework/check/groupify/HashGroupifyEntry.html" title="class in org.deidentifier.arx.framework.check.groupify">HashGroupifyEntry</a> entry)</code>
<div class="block">Implement this, to enforce the criterion.</div>
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<td class="colFirst"><code>abstract boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#isLocalRecodingSupported()">isLocalRecodingSupported</a></strong>()</code>
<div class="block">Returns whether the criterion supports local recoding.</div>
</td>
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<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#isMonotonicWithGeneralization()">isMonotonicWithGeneralization</a></strong>()</code>
<div class="block">Returns whether the criterion is monotonic with generalization.</div>
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<tr class="rowColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#isMonotonicWithSuppression()">isMonotonicWithSuppression</a></strong>()</code>
<div class="block">Returns whether the criterion is monotonic with tuple suppression.</div>
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<tr class="altColor">
<td class="colFirst"><code>boolean</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#isSampleBased()">isSampleBased</a></strong>()</code>
<div class="block">Is this criterion based on the overall sample</div>
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<td class="colFirst"><code>abstract java.lang.String</code></td>
<td class="colLast"><code><strong><a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html#toString()">toString</a></strong>()</code>
<div class="block">Returns a string representation.</div>
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<h4>PrivacyCriterion</h4>
<pre>public PrivacyCriterion(boolean monotonicWithSuppression,
boolean monotonicWithGeneralization)</pre>
<div class="block">Instantiates a new criterion.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>monotonicWithSuppression</code> - </dd><dd><code>monotonicWithGeneralization</code> - </dd></dl>
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<pre>public abstract <a href="../../../../org/deidentifier/arx/criteria/PrivacyCriterion.html" title="class in org.deidentifier.arx.criteria">PrivacyCriterion</a> clone()</pre>
<div class="block">Clone</div>
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<dt><strong>Overrides:</strong></dt>
<dd><code>clone</code> in class <code>java.lang.Object</code></dd>
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<a name="getPopulationModel()">
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<pre>public <a href="../../../../org/deidentifier/arx/ARXPopulationModel.html" title="class in org.deidentifier.arx">ARXPopulationModel</a> getPopulationModel()</pre>
<div class="block">Returns the associated population model, <code>null</code> if there is none.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd>the populationModel</dd></dl>
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<pre>public abstract int getRequirements()</pre>
<div class="block">Returns the criterion's requirements.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<h4>getRiskThresholdJournalist</h4>
<pre>public double getRiskThresholdJournalist()</pre>
<div class="block">Return journalist risk threshold, 1 if there is none</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<h4>getRiskThresholdMarketer</h4>
<pre>public double getRiskThresholdMarketer()</pre>
<div class="block">Return marketer risk threshold, 1 if there is none</div>
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<pre>public double getRiskThresholdProsecutor()</pre>
<div class="block">Return prosecutor risk threshold, 1 if there is none</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<pre>public void initialize(<a href="../../../../org/deidentifier/arx/framework/data/DataManager.html" title="class in org.deidentifier.arx.framework.data">DataManager</a> manager)</pre>
<div class="block">Override this to initialize the criterion.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>manager</code> - </dd></dl>
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<pre>public <a href="../../../../org/deidentifier/arx/DataSubset.html" title="class in org.deidentifier.arx">DataSubset</a> getSubset()</pre>
<div class="block">Returns a research subset, <code>null</code> if no subset is available</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<pre>public abstract boolean isAnonymous(<a href="../../../../org/deidentifier/arx/framework/check/groupify/HashGroupifyEntry.html" title="class in org.deidentifier.arx.framework.check.groupify">HashGroupifyEntry</a> entry)</pre>
<div class="block">Implement this, to enforce the criterion.</div>
<dl><dt><span class="strong">Parameters:</span></dt><dd><code>entry</code> - </dd>
<dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<pre>public abstract boolean isLocalRecodingSupported()</pre>
<div class="block">Returns whether the criterion supports local recoding.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<h4>isMonotonicWithGeneralization</h4>
<pre>public boolean isMonotonicWithGeneralization()</pre>
<div class="block">Returns whether the criterion is monotonic with generalization.</div>
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<pre>public boolean isMonotonicWithSuppression()</pre>
<div class="block">Returns whether the criterion is monotonic with tuple suppression.</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<pre>public boolean isSampleBased()</pre>
<div class="block">Is this criterion based on the overall sample</div>
<dl><dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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<pre>public abstract java.lang.String toString()</pre>
<div class="block">Returns a string representation.</div>
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<dt><strong>Overrides:</strong></dt>
<dd><code>toString</code> in class <code>java.lang.Object</code></dd>
<dt><span class="strong">Returns:</span></dt><dd></dd></dl>
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