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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#ifndef itkAccumulateImageFilter_hxx
#define itkAccumulateImageFilter_hxx
#include "itkAccumulateImageFilter.h"
#include "itkImageRegionIterator.h"
namespace itk
{
/**
* Constructor
*/
template< typename TInputImage, typename TOutputImage >
AccumulateImageFilter< TInputImage, TOutputImage >
::AccumulateImageFilter()
{
m_AccumulateDimension = InputImageDimension - 1;
m_Average = false;
}
template< typename TInputImage, typename 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::DirectionType outDirection;
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();
outDirection = input->GetDirection();
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->SetDirection(outDirection);
output->SetLargestPossibleRegion(outputRegion);
itkDebugMacro("GenerateOutputInformation End");
}
template< typename TInputImage, typename 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< typename TInputImage, typename 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();
typename TInputImage::SizeValueType SizeAccumulateDimension = AccumulatedSize[m_AccumulateDimension];
double SizeAccumulateDimensionDouble = static_cast< double >( SizeAccumulateDimension );
typename TInputImage::IndexValueType 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< typename TInputImage, typename 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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