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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkBlackTopHatImageFilter.txx,v $
Language: C++
Date: $Date: 2006-08-01 19:16:17 $
Version: $Revision: 1.2 $
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 __itkBlackTopHatImageFilter_txx
#define __itkBlackTopHatImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkBlackTopHatImageFilter.h"
#include "itkGrayscaleMorphologicalClosingImageFilter.h"
#include "itkSubtractImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template <class TInputImage, class TOutputImage, class TKernel>
BlackTopHatImageFilter<TInputImage, TOutputImage, TKernel>
::BlackTopHatImageFilter()
: m_Kernel()
{
}
template <class TInputImage, class TOutputImage, class TKernel>
void
BlackTopHatImageFilter<TInputImage, TOutputImage, TKernel>
::GenerateInputRequestedRegion()
{
// call the superclass' implementation of this method
Superclass::GenerateInputRequestedRegion();
// We need all the input.
InputImagePointer input = const_cast<InputImageType *>(this->GetInput());
if( input )
{
input->SetRequestedRegion( input->GetLargestPossibleRegion() );
}
}
template <class TInputImage, class TOutputImage, class TKernel>
void
BlackTopHatImageFilter<TInputImage, TOutputImage, TKernel>
::EnlargeOutputRequestedRegion(DataObject *)
{
OutputImageType * output = this->GetOutput();
if( !output )
{
return;
}
output->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template <class TInputImage, class TOutputImage, class TKernel>
void
BlackTopHatImageFilter<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 a closing filter.
typename GrayscaleMorphologicalClosingImageFilter<TInputImage, TInputImage, TKernel>::Pointer
close = GrayscaleMorphologicalClosingImageFilter<TInputImage, TInputImage, TKernel>::New();
close->SetInput( this->GetInput() );
close->SetKernel(this->m_Kernel);
// Need to subtract the input from the closed image
typename SubtractImageFilter<TInputImage, TInputImage, TOutputImage>::Pointer
subtract=SubtractImageFilter<TInputImage,TInputImage,TOutputImage>::New();
subtract->SetInput1( close->GetOutput() );
subtract->SetInput2( this->GetInput() );
// graft our output to the subtract filter to force the proper regions
// to be generated
subtract->GraftOutput( this->GetOutput() );
// run the algorithm
progress->RegisterInternalFilter(close,.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
BlackTopHatImageFilter<TInputImage, TOutputImage, TKernel>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Kernel: " << m_Kernel << std::endl;
}
}// end namespace itk
#endif
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