File: itkExpTensorImageFilter.hxx

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/*=========================================================================

  Program:   Advanced Normalization Tools
  Module:    $RCSfile: itkExpTensorImageFilter.hxx,v $
  Language:  C++
  Date:      $Date: 2009/01/27 19:56:28 $
  Version:   $Revision: 1.1 $

  Copyright (c) ConsortiumOfANTS. All rights reserved.
  See accompanying COPYING.txt or
 http://sourceforge.net/projects/advants/files/ANTS/ANTSCopyright.txt 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 _itkExpTensorImageFilter_hxx
#define _itkExpTensorImageFilter_hxx

#include "itkConstNeighborhoodIterator.h"
#include "itkNeighborhoodInnerProduct.h"
#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIterator.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
#include "itkObjectFactory.h"
#include "vnl/vnl_matrix.h"
#include "vnl/algo/vnl_symmetric_eigensystem.h"
#include "itkExpTensorImageFilter.h"
#include "TensorFunctions.h"

namespace itk
{
template <class TInputImage, class TOutputImage>
ExpTensorImageFilter<TInputImage, TOutputImage>
::ExpTensorImageFilter()
{
}

template <class TInputImage, class TOutputImage>
void
ExpTensorImageFilter<TInputImage, TOutputImage>
::GenerateData()
{
  InputImagePointer  input = this->GetInput();
  OutputImagePointer output = this->GetOutput();

  ImageRegionConstIterator<InputImageType> inputIt( input, input->GetLargestPossibleRegion() );

  output->SetRegions( input->GetLargestPossibleRegion() );
  output->Allocate();

  ImageRegionIterator<OutputImageType> outputIt( output, output->GetLargestPossibleRegion() );
  for( inputIt.GoToBegin(), outputIt.GoToBegin();
       !inputIt.IsAtEnd() && !outputIt.IsAtEnd(); ++inputIt, ++outputIt )
    {
    bool           success; // TODO -- actually check the result?
    InputPixelType result = TensorLogAndExp<InputPixelType>(inputIt.Value(), false, success);
    outputIt.Set( result );
    }
}

/**
 * Standard "PrintSelf" method
 */
template <class TInputImage, class TOutput>
void
ExpTensorImageFilter<TInputImage, TOutput>
::PrintSelf(
  std::ostream& os,
  Indent indent) const
{
  Superclass::PrintSelf( os, indent );
}
} // end namespace itk

#endif