text: /*=========================================================================
   *
   *  Copyright Insight Software Consortium
   *
   *  Licensed under the Apache License, Version 2.0 (the "License");
   *  you may not use this file except in compliance with the License.
   *  You may obtain a copy of the License at
   *
   *         http://www.apache.org/licenses/LICENSE-2.0.txt
   *
   *  Unless required by applicable law or agreed to in writing, software
   *  distributed under the License is distributed on an "AS IS" BASIS,
   *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   *  See the License for the specific language governing permissions and
   *  limitations under the License.
   *
   *=========================================================================*/
  #ifndef __itkWhiteTopHatImageFilter_hxx
  #define __itkWhiteTopHatImageFilter_hxx
  
  #include "itkImageRegionIterator.h"
  #include "itkWhiteTopHatImageFilter.h"
  #include "itkGrayscaleMorphologicalOpeningImageFilter.h"
  #include "itkSubtractImageFilter.h"
  #include "itkProgressAccumulator.h"
  
  namespace itk
  {
  template< class TInputImage, class TOutputImage, class TKernel >
  WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >
  ::WhiteTopHatImageFilter()
  {
    m_SafeBorder = true;
    m_Algorithm = HISTO;
    m_ForceAlgorithm = false;
  }
  
  template< class TInputImage, class TOutputImage, class TKernel >
  void
  WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >
  ::GenerateData()
  {
    // Create a process accumulator for tracking the progress of this minipipeline
    ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
  
    progress->SetMiniPipelineFilter(this);
  
    // Allocate the output
    this->AllocateOutputs();
  
    // Delegate to an opening filter.
    typename GrayscaleMorphologicalOpeningImageFilter< TInputImage, TInputImage, TKernel >::Pointer
    open = GrayscaleMorphologicalOpeningImageFilter< TInputImage, TInputImage, TKernel >::New();
  
    open->SetInput( this->GetInput() );
    open->SetKernel( this->GetKernel() );
    open->SetSafeBorder(m_SafeBorder);
    if ( m_ForceAlgorithm )
      {
      open->SetAlgorithm(m_Algorithm);
      }
    else
      {
      m_Algorithm = open->GetAlgorithm();
      }
  
    // Need to subtract the opened image from the input
    typename SubtractImageFilter< TInputImage, TInputImage, TOutputImage >::Pointer
    subtract = SubtractImageFilter< TInputImage, TInputImage, TOutputImage >::New();
  
    subtract->SetInput1( this->GetInput() );
    subtract->SetInput2( open->GetOutput() );
  
    // graft our output to the subtract filter to force the proper regions
    // to be generated
    subtract->GraftOutput( this->GetOutput() );
  
    // run the algorithm
    progress->RegisterInternalFilter(open, .9f);
    progress->RegisterInternalFilter(subtract, .1f);
  
    subtract->Update();
  
    // graft the output of the subtract filter back onto this filter's
    // output. this is needed to get the appropriate regions passed
    // back.
    this->GraftOutput( subtract->GetOutput() );
  }
  
  template< class TInputImage, class TOutputImage, class TKernel >
  void
  WhiteTopHatImageFilter< TInputImage, TOutputImage, TKernel >
  ::PrintSelf(std::ostream & os, Indent indent) const
  {
    Superclass::PrintSelf(os, indent);
  
    os << indent << "Algorithm: " << m_Algorithm << std::endl;
    os << indent << "SafeBorder: " << m_SafeBorder << std::endl;
    os << indent << "ForceAlgorithm: " << m_ForceAlgorithm << std::endl;
  }
  } // end namespace itk
  #endif
  