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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkOptWhiteTopHatImageFilter.txx
Language: C++
Date: $Date$
Version: $Revision$
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
This software is distributed WITHOUT ANY WARRANTY; without even
the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
PURPOSE. See the above copyright notices for more information.
=========================================================================*/
#ifndef __itkOptWhiteTopHatImageFilter_txx
#define __itkOptWhiteTopHatImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.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
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