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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkGrayscaleGrindPeakImageFilter.txx,v $
Language: C++
Date: $Date: 2006-12-15 21:41:24 $
Version: $Revision: 1.8 $
Copyright (c) Insight Software Consortium. All rights reserved.
See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
Portions of this code are covered under the VTK copyright.
See VTKCopyright.txt or http://www.kitware.com/VTKCopyright.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 __itkGrayscaleGrindPeakImageFilter_txx
#define __itkGrayscaleGrindPeakImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkGrayscaleGrindPeakImageFilter.h"
#include "itkReconstructionByDilationImageFilter.h"
#include "itkMinimumMaximumImageCalculator.h"
#include "itkImageRegionExclusionConstIteratorWithIndex.h"
#include "itkImageRegionExclusionIteratorWithIndex.h"
#include "itkProgressAccumulator.h"
namespace itk {
template <class TInputImage, class TOutputImage>
GrayscaleGrindPeakImageFilter<TInputImage, TOutputImage>
::GrayscaleGrindPeakImageFilter()
: m_NumberOfIterationsUsed( 1 )
{
m_FullyConnected = false;
}
template <class TInputImage, class TOutputImage>
void
GrayscaleGrindPeakImageFilter<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
GrayscaleGrindPeakImageFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
GrayscaleGrindPeakImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
// Allocate the output
this->AllocateOutputs();
// construct a marker image to manipulate using reconstruction by
// dilation. the marker image will have the same pixel values as the
// input image on the boundary of the image and will have the
// minimum pixel value from the input image for all the pixels in
// the interior
//
// compute the minimum pixel value in the input
typename MinimumMaximumImageCalculator<TInputImage>::Pointer calculator
= MinimumMaximumImageCalculator<TInputImage>::New();
calculator->SetImage( this->GetInput() );
calculator->ComputeMinimum();
InputImagePixelType minValue;
minValue = calculator->GetMinimum();
// allocate a marker image
InputImagePointer markerPtr = InputImageType::New();
markerPtr->SetRegions( this->GetInput()->GetRequestedRegion() );
markerPtr->CopyInformation( this->GetInput() );
markerPtr->Allocate();
// fill the marker image with the maximum value from the input
markerPtr->FillBuffer( minValue );
// copy the borders of the input image to the marker image
//
ImageRegionExclusionConstIteratorWithIndex<TInputImage>
inputBoundaryIt( this->GetInput(), this->GetInput()->GetRequestedRegion());
inputBoundaryIt.SetExclusionRegionToInsetRegion();
ImageRegionExclusionIteratorWithIndex<TInputImage>
markerBoundaryIt( markerPtr, this->GetInput()->GetRequestedRegion() );
markerBoundaryIt.SetExclusionRegionToInsetRegion();
// copy the boundary pixels
inputBoundaryIt.GoToBegin();
markerBoundaryIt.GoToBegin();
while ( !inputBoundaryIt.IsAtEnd() )
{
markerBoundaryIt.Set( inputBoundaryIt.Get() );
++markerBoundaryIt;
++inputBoundaryIt;
}
// Delegate to a geodesic dilation filter.
//
//
typename ReconstructionByDilationImageFilter<TInputImage, TInputImage>::Pointer
dilate
= ReconstructionByDilationImageFilter<TInputImage, TInputImage>::New();
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
progress->RegisterInternalFilter(dilate,1.0f);
// set up the dilate filter
//dilate->RunOneIterationOff(); // run to convergence
dilate->SetMarkerImage( markerPtr );
dilate->SetMaskImage( this->GetInput() );
dilate->SetFullyConnected( m_FullyConnected );
// graft our output to the dilate filter to force the proper regions
// to be generated
dilate->GraftOutput( this->GetOutput() );
// reconstruction by dilation
dilate->Update();
// graft the output of the dilate filter back onto this filter's
// output. this is needed to get the appropriate regions passed
// back.
this->GraftOutput( dilate->GetOutput() );
}
template<class TInputImage, class TOutputImage>
void
GrayscaleGrindPeakImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
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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