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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkAccumulateImageFilter.txx,v $
Language: C++
Date: $Date: 2007-08-24 12:45:32 $
Version: $Revision: 1.6 $
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 _itkAccumulateImageFilter_txx
#define _itkAccumulateImageFilter_txx
#include "itkAccumulateImageFilter.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
namespace itk
{
/**
* Constructor
*/
template <class TInputImage, class TOutputImage >
AccumulateImageFilter<TInputImage,TOutputImage >
::AccumulateImageFilter()
{
m_AccumulateDimension = InputImageDimension-1;
m_Average = false;
}
template <class TInputImage, class TOutputImage>
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateOutputInformation()
{
itkDebugMacro("GenerateOutputInformation Start");
typename TOutputImage::RegionType outputRegion;
typename TInputImage::IndexType inputIndex;
typename TInputImage::SizeType inputSize;
typename TOutputImage::SizeType outputSize;
typename TOutputImage::IndexType outputIndex;
typename TInputImage::SpacingType inSpacing;
typename TInputImage::PointType inOrigin;
typename TOutputImage::SpacingType outSpacing;
typename TOutputImage::PointType outOrigin;
// Get pointers to the input and output
typename Superclass::OutputImagePointer output = this->GetOutput();
typename Superclass::InputImagePointer input = const_cast< TInputImage * >( this->GetInput() );
if( !input || !output )
{
return;
}
inputIndex = input->GetLargestPossibleRegion().GetIndex();
inputSize = input->GetLargestPossibleRegion().GetSize();
inSpacing = input->GetSpacing();
inOrigin = input->GetOrigin();
// Set the LargestPossibleRegion of the output.
// Reduce the size of the accumulated dimension.
for(unsigned int i = 0; i<InputImageDimension; i++)
{
if (i != m_AccumulateDimension)
{
outputSize[i] = inputSize[i];
outputIndex[i] = inputIndex[i];
outSpacing[i] = inSpacing[i];
outOrigin[i] = inOrigin[i];
}
else
{
outputSize[i] = 1;
outputIndex[i] = 0;
outSpacing[i] = inSpacing[i]*inputSize[i];
outOrigin[i] = inOrigin[i] + (i-1)*inSpacing[i]/2;
}
}
outputRegion.SetSize(outputSize);
outputRegion.SetIndex(outputIndex);
output->SetOrigin(outOrigin);
output->SetSpacing(outSpacing);
output->SetLargestPossibleRegion(outputRegion);
itkDebugMacro("GenerateOutputInformation End");
}
template <class TInputImage, class TOutputImage>
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateInputRequestedRegion()
{
itkDebugMacro("GenerateInputRequestedRegion Start");
Superclass::GenerateInputRequestedRegion();
if ( this->GetInput() )
{
typename TInputImage::RegionType RequestedRegion;
typename TInputImage::SizeType inputSize;
typename TInputImage::IndexType inputIndex;
typename TInputImage::SizeType inputLargSize;
typename TInputImage::IndexType inputLargIndex;
typename TOutputImage::SizeType outputSize;
typename TOutputImage::IndexType outputIndex;
outputIndex = this->GetOutput()->GetRequestedRegion().GetIndex();
outputSize = this->GetOutput()->GetRequestedRegion().GetSize();
inputLargSize = this->GetInput()->GetLargestPossibleRegion().GetSize();
inputLargIndex = this->GetInput()->GetLargestPossibleRegion().GetIndex();
for(unsigned int i=0; i<TInputImage::ImageDimension; i++)
{
if(i!=m_AccumulateDimension)
{
inputSize[i] = outputSize[i];
inputIndex[i] = outputIndex[i];
}
else
{
inputSize[i]=inputLargSize[i];
inputIndex[i]=inputLargIndex[i];
}
}
RequestedRegion.SetSize(inputSize);
RequestedRegion.SetIndex(inputIndex);
InputImagePointer input = const_cast< TInputImage * > ( this->GetInput() );
input->SetRequestedRegion (RequestedRegion);
}
itkDebugMacro("GenerateInputRequestedRegion End");
}
/**
* GenerateData Performs the accumulation
*/
template <class TInputImage, class TOutputImage >
void
AccumulateImageFilter<TInputImage,TOutputImage>
::GenerateData( void )
{
if(m_AccumulateDimension>=TInputImage::ImageDimension)
{
itkExceptionMacro(<<"AccumulateImageFilter: invalid dimension to accumulate. AccumulateDimension = " << m_AccumulateDimension);
}
typedef typename TOutputImage::PixelType OutputPixelType;
typedef typename NumericTraits<OutputPixelType>::AccumulateType AccumulateType;
typename Superclass::InputImageConstPointer inputImage = this->GetInput();
typename TOutputImage::Pointer outputImage = this->GetOutput();
outputImage->SetBufferedRegion( outputImage->GetRequestedRegion() );
outputImage->Allocate();
// Accumulate over the Nth dimension ( = m_AccumulateDimension)
// and divide by the size of the accumulated dimension.
typedef ImageRegionIterator<TOutputImage> outputIterType;
outputIterType outputIter(outputImage, outputImage->GetBufferedRegion());
typedef ImageRegionConstIterator<TInputImage> inputIterType;
typename TInputImage::RegionType AccumulatedRegion;
typename TInputImage::SizeType AccumulatedSize = inputImage->GetLargestPossibleRegion().GetSize();
typename TInputImage::IndexType AccumulatedIndex = inputImage->GetLargestPossibleRegion().GetIndex();
unsigned long SizeAccumulateDimension = AccumulatedSize[m_AccumulateDimension];
double SizeAccumulateDimensionDouble = static_cast<double>(SizeAccumulateDimension);
long IndexAccumulateDimension = AccumulatedIndex[m_AccumulateDimension];
for(unsigned int i=0; i< InputImageDimension; i++)
{
if (i != m_AccumulateDimension )
{
AccumulatedSize[i] = 1;
}
}
AccumulatedRegion.SetSize(AccumulatedSize);
outputIter.GoToBegin();
while(!outputIter.IsAtEnd())
{
typename TOutputImage::IndexType OutputIndex = outputIter.GetIndex();
for(unsigned int i=0; i<InputImageDimension; i++)
{
if (i != m_AccumulateDimension)
{
AccumulatedIndex[i] = OutputIndex[i];
}
else
{
AccumulatedIndex[i] = IndexAccumulateDimension;
}
}
AccumulatedRegion.SetIndex(AccumulatedIndex);
inputIterType inputIter(inputImage, AccumulatedRegion);
inputIter.GoToBegin();
AccumulateType Value=NumericTraits<AccumulateType>::ZeroValue();
while(!inputIter.IsAtEnd())
{
Value+=static_cast<AccumulateType>(inputIter.Get());
++inputIter;
}
if (m_Average)
{
outputIter.Set( static_cast<OutputPixelType>(Value / SizeAccumulateDimensionDouble) );
}
else
{
outputIter.Set (static_cast<OutputPixelType>(Value));
}
++outputIter;
}
}
template <class TInputImage, class TOutputImage >
void
AccumulateImageFilter<TInputImage,TOutputImage>::
PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "AccumulateDimension: " << m_AccumulateDimension << std::endl;
os << indent << "Average: " << (m_Average ? "On" : "Off") << std::endl;
}
} // end namespace itk
#endif
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