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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkHConcaveImageFilter.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 __itkHConcaveImageFilter_txx
#define __itkHConcaveImageFilter_txx
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkHConcaveImageFilter.h"
#include "itkHMinimaImageFilter.h"
#include "itkSubtractImageFilter.h"
namespace itk {
template <class TInputImage, class TOutputImage>
HConcaveImageFilter<TInputImage, TOutputImage>
::HConcaveImageFilter()
{
m_Height = 2;
m_NumberOfIterationsUsed = 1;
m_FullyConnected = false;
}
template <class TInputImage, class TOutputImage>
void
HConcaveImageFilter<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
HConcaveImageFilter<TInputImage, TOutputImage>
::EnlargeOutputRequestedRegion(DataObject *)
{
this->GetOutput()
->SetRequestedRegion( this->GetOutput()->GetLargestPossibleRegion() );
}
template<class TInputImage, class TOutputImage>
void
HConcaveImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
// Allocate the output
this->AllocateOutputs();
// Create a process accumulator for tracking the progress of this minipipeline
ProgressAccumulator::Pointer progress = ProgressAccumulator::New();
progress->SetMiniPipelineFilter(this);
// Delegate to a H-Minima filter.
//
//
typename HMinimaImageFilter<TInputImage, TInputImage>::Pointer
hmin = HMinimaImageFilter<TInputImage, TInputImage>::New();
hmin->SetInput( this->GetInput() );
hmin->SetHeight( m_Height );
hmin->SetFullyConnected( m_FullyConnected );
// Need to subtract the input from the H-Minima image
typename SubtractImageFilter<TInputImage, TInputImage, TOutputImage>::Pointer
subtract=SubtractImageFilter<TInputImage,TInputImage,TOutputImage>::New();
subtract->SetInput1( hmin->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(hmin,.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>
void
HConcaveImageFilter<TInputImage, TOutputImage>
::PrintSelf(std::ostream &os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Depth of local minima (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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