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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkHMaximaImageFilter.txx,v $
Language: C++
Date: $Date: 2006-08-01 19:16:18 $
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.
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 __itkHMaximaImageFilter_txx
#define __itkHMaximaImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkHMaximaImageFilter.h"
//#include "itkGrayscaleGeodesicDilateImageFilter.h"
#include "itkShiftScaleImageFilter.h"
#include "itkProgressAccumulator.h"
#include "itkReconstructionByDilationImageFilter.h"
namespace itk {
template <class TInputImage, class TOutputImage>
HMaximaImageFilter<TInputImage, TOutputImage>
::HMaximaImageFilter()
{
m_Height = 2;
m_NumberOfIterationsUsed = 1;
m_FullyConnected = false;
}
template <class TInputImage, class TOutputImage>
void
HMaximaImageFilter<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
HMaximaImageFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
HMaximaImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
// Allocate the output
this->AllocateOutputs();
// construct a marker image to manipulate using reconstruction by
// dilation. 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( -1.0 * static_cast<typename ShiftFilterType::RealType>(m_Height) );
// 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( shift->GetOutput() );
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
HMaximaImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Height 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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