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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 itkImageKernelOperator_hxx
#define itkImageKernelOperator_hxx
#include "itkImageKernelOperator.h"
#include "itkImageRegionConstIterator.h"
/*
*
* This code was contributed in the Insight Journal paper:
*
* "Image Kernel Convolution"
* by Tustison N., Gee J.
* https://hdl.handle.net/1926/1323
* http://www.insight-journal.org/browse/publication/208
*
*/
namespace itk
{
template< typename TPixel, unsigned int VDimension, typename TAllocator >
void
ImageKernelOperator< TPixel, VDimension, TAllocator >
::SetImageKernel(const ImageType *kernel)
{
m_ImageKernel = kernel;
}
template< typename TPixel, unsigned int VDimension, typename TAllocator >
const typename ImageKernelOperator< TPixel, VDimension, TAllocator >::ImageType *
ImageKernelOperator< TPixel, VDimension, TAllocator >
::GetImageKernel() const
{
return m_ImageKernel;
}
template< typename TPixel, unsigned int VDimension, typename TAllocator >
typename ImageKernelOperator< TPixel, VDimension, TAllocator >::CoefficientVector
ImageKernelOperator< TPixel, VDimension, TAllocator >
::GenerateCoefficients()
{
// Check that the input image is fully buffered.
if ( m_ImageKernel->GetBufferedRegion() != m_ImageKernel->GetLargestPossibleRegion() )
{
itkExceptionMacro( << "ImageKernel is not fully buffered. " << std::endl
<< "Buffered region: " << m_ImageKernel->GetBufferedRegion()
<< std::endl
<< "Largest possible region: " << m_ImageKernel->GetLargestPossibleRegion()
<< std::endl
<< "You should call UpdateLargestPossibleRegion() on "
<< "the filter whose output is passed to "
<< "SetImageKernel()." );
}
// Check that the size of the kernel is odd in all dimensions.
for ( unsigned int i = 0; i < VDimension; i++)
{
if ( m_ImageKernel->GetLargestPossibleRegion().GetSize()[i] % 2 == 0 )
{
itkExceptionMacro( << "ImageKernelOperator requires an input image "
<< "whose size is odd in all dimensions. The provided "
<< "image has size "
<< m_ImageKernel->GetLargestPossibleRegion().GetSize() );
}
}
CoefficientVector coeff;
ImageRegionConstIterator< ImageType > It( m_ImageKernel,
m_ImageKernel->GetLargestPossibleRegion() );
for ( It.GoToBegin(); !It.IsAtEnd(); ++It )
{
coeff.push_back( It.Get() );
}
return coeff;
}
template< typename TPixel, unsigned int VDimension, typename TAllocator >
void
ImageKernelOperator< TPixel, VDimension, TAllocator >
::Fill(const CoefficientVector & coeff)
{
// Initialize all coefficients to zero
this->InitializeToZero();
std::slice *temp_slice;
typename CoefficientVector::const_iterator it;
temp_slice = new std::slice(0, coeff.size(), 1);
it = coeff.begin();
typename Superclass::SliceIteratorType data(this, *temp_slice);
delete temp_slice;
// Copy the coefficients into the neighborhood, truncating them if there
// are too many.
for ( data = data.Begin(); data < data.End(); ++data, ++it )
{
*data = static_cast< TPixel >( *it );
}
}
} // end namespace itk
#endif
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