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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkGrayscaleMorphologicalClosingImageFilter.txx,v $
Language: C++
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 __itkGrayscaleMorphologicalClosingImageFilter_txx
#define __itkGrayscaleMorphologicalClosingImageFilter_txx
#include "itkGrayscaleMorphologicalClosingImageFilter.h"
#include "itkGrayscaleErodeImageFilter.h"
#include "itkGrayscaleDilateImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template<class TInputImage, class TOutputImage, class TKernel>
GrayscaleMorphologicalClosingImageFilter<TInputImage, TOutputImage, TKernel>
::GrayscaleMorphologicalClosingImageFilter()
: m_Kernel()
{
}
template <class TInputImage, class TOutputImage, class TKernel>
void
GrayscaleMorphologicalClosingImageFilter<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
GrayscaleMorphologicalClosingImageFilter<TInputImage, TOutputImage, TKernel>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()->SetRequestedRegion(
this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage, class TKernel>
void
GrayscaleMorphologicalClosingImageFilter<TInputImage, TOutputImage, TKernel>
::GenerateData()
{
// Allocate the outputs
this->AllocateOutputs();
/** set up erosion and dilation methods */
typename GrayscaleDilateImageFilter<TInputImage, TOutputImage, TKernel>::Pointer
dilate = GrayscaleDilateImageFilter<TInputImage, TOutputImage, TKernel>::New();
typename GrayscaleErodeImageFilter<TOutputImage, TOutputImage, TKernel>::Pointer
erode = GrayscaleErodeImageFilter<TOutputImage, TOutputImage, TKernel>::New();
dilate->SetKernel( this->GetKernel() );
dilate->ReleaseDataFlagOn();
erode->SetKernel( this->GetKernel() );
erode->ReleaseDataFlagOn();
/** set up the minipipeline */
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
progress->RegisterInternalFilter(erode, .5f);
progress->RegisterInternalFilter(dilate, .5f);
dilate->SetInput( this->GetInput() );
erode->SetInput( dilate->GetOutput() );
erode->GraftOutput( this->GetOutput() );
/** execute the minipipeline */
erode->Update();
/** graft the minipipeline output back into this filter's output */
this->GraftOutput( erode->GetOutput() );
}
template<class TInputImage, class TOutputImage, class TKernel>
void
GrayscaleMorphologicalClosingImageFilter<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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