/usr/include/ITK-4.5/itkImagePCADecompositionCalculator.hxx is in libinsighttoolkit4-dev 4.5.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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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 __itkImagePCADecompositionCalculator_hxx
#define __itkImagePCADecompositionCalculator_hxx
#include "itkImagePCADecompositionCalculator.h"
#include "itkImageRegionConstIterator.h"
namespace itk
{
/**
* Constructor
*/
template< typename TInputImage, typename TBasisImage >
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::ImagePCADecompositionCalculator()
{
m_Image = NULL;
m_MeanImage = NULL;
m_BasisMatrixCalculated = false;
m_NumPixels = 0;
}
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::SetBasisImages(const BasisImagePointerVector & v)
{
itkDebugMacro(<< "setting BasisImages");
this->m_BasisMatrixCalculated = false;
// We need this modified setter function so that the calculator
// can cache the basis set between calculations. Note that computing the
// basis matrix from the input images is rather expensive, and the basis
// images are likely to be changed less often than the input images. So
// it makes sense to try to cache the pre-computed matrix.
this->m_BasisImages = v;
this->Modified();
}
/**
* Compute the projection
*/
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::Compute(void)
{
if ( !m_BasisMatrixCalculated )
{
this->CalculateBasisMatrix();
}
this->CalculateRecenteredImageAsVector();
m_Projection = m_BasisMatrix * m_ImageAsVector;
}
/*
* Convert a vector of basis images into a matrix. Each image is flattened into 1-D.
*/
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::CalculateBasisMatrix(void)
{
m_Size = m_BasisImages[0]->GetRequestedRegion().GetSize();
m_NumPixels = 1;
for ( unsigned int i = 0; i < BasisImageDimension; i++ )
{
m_NumPixels *= m_Size[i];
}
m_BasisMatrix = BasisMatrixType(m_BasisImages.size(), m_NumPixels);
int i = 0;
for ( typename BasisImagePointerVector::const_iterator basis_it = m_BasisImages.begin();
basis_it != m_BasisImages.end(); ++basis_it )
{
if ( ( *basis_it )->GetRequestedRegion().GetSize() != m_Size )
{
itkExceptionMacro("All basis images must be the same size!");
}
ImageRegionConstIterator< BasisImageType > image_it( *basis_it,
( *basis_it )->GetRequestedRegion() );
int j = 0;
for ( image_it.GoToBegin(); !image_it.IsAtEnd(); ++image_it )
{
m_BasisMatrix(i, j++) = image_it.Get();
}
i++;
}
m_BasisMatrixCalculated = true;
m_ImageAsVector.set_size(m_NumPixels);
}
/**
* Convert an image into a 1-D vector, changing the pixel type if necessary.
*/
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::CalculateRecenteredImageAsVector(void)
{
if ( m_Image->GetRequestedRegion().GetSize() != m_Size )
{
itkExceptionMacro("Input image must be the same size as the basis images!");
}
ImageRegionConstIterator< InputImageType > image_it( m_Image,
m_Image->GetRequestedRegion() );
typename BasisVectorType::iterator vector_it;
for ( image_it.GoToBegin(), vector_it = m_ImageAsVector.begin();
!image_it.IsAtEnd(); ++image_it, ++vector_it )
{
*vector_it = static_cast< BasisPixelType >( image_it.Get() );
}
if ( m_MeanImage )
{
ImageRegionConstIterator< BasisImageType > mimage_it( m_MeanImage,
m_MeanImage->GetRequestedRegion() );
for ( mimage_it.GoToBegin(), vector_it = m_ImageAsVector.begin();
!mimage_it.IsAtEnd(); ++mimage_it, ++vector_it )
{
*vector_it -= ( mimage_it.Get() );
}
}
}
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::SetBasisFromModel(ModelPointerType model)
{
BasisImagePointerVector images;
unsigned int nImages = model->GetNumberOfPrincipalComponentsRequired();
images.reserve(nImages);
for ( unsigned int i = 1; i <= nImages; i++ )
{
images.push_back( model->GetOutput(i) );
}
this->SetBasisImages(images);
this->SetMeanImage( model->GetOutput(0) );
}
template< typename TInputImage, typename TBasisImage >
void
ImagePCADecompositionCalculator< TInputImage, TBasisImage >
::PrintSelf(std::ostream & os, Indent indent) const
{
Superclass::PrintSelf(os, indent);
os << indent << "Projection: " << m_Projection << std::endl;
os << indent << "Image: " << m_Image.GetPointer() << std::endl;
os << indent << "Mean Image: " << m_MeanImage.GetPointer() << std::endl;
}
} // end namespace itk
#endif
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