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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkHMinimaImageFilter.txx,v $
Language: C++
Date: $Date: 2006-08-01 19:16:18 $
Version: $Revision: 1.9 $
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 __itkHMinimaImageFilter_txx
#define __itkHMinimaImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkHMinimaImageFilter.h"
#include "itkReconstructionByErosionImageFilter.h"
#include "itkShiftScaleImageFilter.h"
#include "itkProgressAccumulator.h"
namespace itk {
template <class TInputImage, class TOutputImage>
HMinimaImageFilter<TInputImage, TOutputImage>
::HMinimaImageFilter()
{
m_Height = 2;
m_NumberOfIterationsUsed = 1;
m_FullyConnected = false;
}
template <class TInputImage, class TOutputImage>
void
HMinimaImageFilter<TInputImage, TOutputImage>
::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>
void
HMinimaImageFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
HMinimaImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
// Allocate the output
this->AllocateOutputs();
// construct a marker image to manipulate using reconstruction by
// erosion. the marker image is the input image minus the height
// parameter.
typedef ShiftScaleImageFilter<TInputImage, TInputImage>
ShiftFilterType;
typename ShiftFilterType::Pointer shift = ShiftFilterType::New();
shift->SetInput( this->GetInput() );
shift->SetShift( static_cast<typename ShiftFilterType::RealType>(m_Height) );
// Delegate to a geodesic erosion filter.
//
//
typename ReconstructionByErosionImageFilter<TInputImage, TInputImage>::Pointer
erode
= ReconstructionByErosionImageFilter<TInputImage, TInputImage>::New();
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
progress->RegisterInternalFilter(erode,1.0f);
// set up the erode filter
//erode->RunOneIterationOff(); // run to convergence
erode->SetMarkerImage( shift->GetOutput() );
erode->SetMaskImage( this->GetInput() );
erode->SetFullyConnected( m_FullyConnected );
// graft our output to the erode filter to force the proper regions
// to be generated
erode->GraftOutput( this->GetOutput() );
// reconstruction by erosion
erode->Update();
// graft the output of the erode filter back onto this filter's
// output. this is needed to get the appropriate regions passed
// back.
this->GraftOutput( erode->GetOutput() );
}
template<class TInputImage, class TOutputImage>
void
HMinimaImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Depth of local maxima (contrast): "
<< static_cast<typename NumericTraits<InputImagePixelType>::PrintType>(m_Height)
<< std::endl;
os << indent << "Number of iterations used to produce current output: "
<< m_NumberOfIterationsUsed << std::endl;
os << indent << "FullyConnected: " << m_FullyConnected << std::endl;
}
}// end namespace itk
#endif
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