text: /*M///////////////////////////////////////////////////////////////////////////////////////
  //
  //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
  //
  //  By downloading, copying, installing or using the software you agree to this license.
  //  If you do not agree to this license, do not download, install,
  //  copy or use the software.
  //
  //
  //                           License Agreement
  //                For Open Source Computer Vision Library
  //
  // Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
  // Copyright (C) 2009, Willow Garage Inc., all rights reserved.
  // Third party copyrights are property of their respective owners.
  //
  // Redistribution and use in source and binary forms, with or without modification,
  // are permitted provided that the following conditions are met:
  //
  //   * Redistribution's of source code must retain the above copyright notice,
  //     this list of conditions and the following disclaimer.
  //
  //   * Redistribution's in binary form must reproduce the above copyright notice,
  //     this list of conditions and the following disclaimer in the documentation
  //     and/or other materials provided with the distribution.
  //
  //   * The name of the copyright holders may not be used to endorse or promote products
  //     derived from this software without specific prior written permission.
  //
  // This software is provided by the copyright holders and contributors "as is" and
  // any express or implied warranties, including, but not limited to, the implied
  // warranties of merchantability and fitness for a particular purpose are disclaimed.
  // In no event shall the Intel Corporation or contributors be liable for any direct,
  // indirect, incidental, special, exemplary, or consequential damages
  // (including, but not limited to, procurement of substitute goods or services;
  // loss of use, data, or profits; or business interruption) however caused
  // and on any theory of liability, whether in contract, strict liability,
  // or tort (including negligence or otherwise) arising in any way out of
  // the use of this software, even if advised of the possibility of such damage.
  //
  //M*/
  
  #include "test_precomp.hpp"
  
  using namespace cv;
  using namespace std;
  
  class CV_HoughLinesTest : public cvtest::BaseTest
  {
  public:
      enum {STANDART = 0, PROBABILISTIC};
      CV_HoughLinesTest() {}
      ~CV_HoughLinesTest() {}
  protected:
      void run_test(int type);
  };
  
  class CV_StandartHoughLinesTest : public CV_HoughLinesTest
  {
  public:
      CV_StandartHoughLinesTest() {}
      ~CV_StandartHoughLinesTest() {}
      virtual void run(int);
  };
  
  class CV_ProbabilisticHoughLinesTest : public CV_HoughLinesTest
  {
  public:
      CV_ProbabilisticHoughLinesTest() {}
      ~CV_ProbabilisticHoughLinesTest() {}
      virtual void run(int);
  };
  
  void CV_StandartHoughLinesTest::run(int)
  {
      run_test(STANDART);
  }
  
  void CV_ProbabilisticHoughLinesTest::run(int)
  {
      run_test(PROBABILISTIC);
  }
  
  void CV_HoughLinesTest::run_test(int type)
  {
      Mat src = imread(string(ts->get_data_path()) + "shared/pic1.png");
      if (src.empty())
      {
          ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
          return;
      }
  
      string xml;
      if (type == STANDART)
          xml = string(ts->get_data_path()) + "imgproc/HoughLines.xml";
      else if (type == PROBABILISTIC)
          xml = string(ts->get_data_path()) + "imgproc/HoughLinesP.xml";
      else
      {
          ts->printf(cvtest::TS::LOG, "Error: unknown HoughLines algorithm type.\n");
          ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
          return;
      }
  
      Mat dst;
      Canny(src, dst, 50, 200, 3);
  
      Mat lines;
      if (type == STANDART)
          HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0);
      else if (type == PROBABILISTIC)
          HoughLinesP(dst, lines, 1, CV_PI/180, 100, 0, 0);
  
      FileStorage fs(xml, FileStorage::READ);
      if (!fs.isOpened())
      {
          fs.open(xml, FileStorage::WRITE);
          if (!fs.isOpened())
          {
              ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
              return;
          }
          fs << "exp_lines" << lines;
          fs.release();
          fs.open(xml, FileStorage::READ);
          if (!fs.isOpened())
          {
              ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_TEST_DATA);
              return;
          }
      }
  
      Mat exp_lines;
      read( fs["exp_lines"], exp_lines, Mat() );
      fs.release();
  
      if ( exp_lines.size != lines.size || norm(exp_lines, lines, NORM_INF) > 1e-4 )
      {
          ts->set_failed_test_info(cvtest::TS::FAIL_MISMATCH);
          return;
      }
  
      ts->set_failed_test_info(cvtest::TS::OK);
  }
  
  TEST(Imgproc_HoughLines, regression) { CV_StandartHoughLinesTest test; test.safe_run(); }
  
  TEST(Imgproc_HoughLinesP, regression) { CV_ProbabilisticHoughLinesTest test; test.safe_run(); }
  