File: itkMovingHistogramImageFilterBase.txx

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    itkMovingHistogramImageFilterBase.txx
  Language:  C++
  Date:      $Date$
  Version:   $Revision$

  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 __itkMovingHistogramImageFilterBase_txx
#define __itkMovingHistogramImageFilterBase_txx

#include "itkMovingHistogramImageFilterBase.h"
#include "itkImageRegionIteratorWithIndex.h"
#include "itkOffset.h"
#include "itkProgressReporter.h"
#include "itkNumericTraits.h"

#ifndef zigzag

#include "itkImageRegionIterator.h"
#include "itkImageRegionConstIteratorWithIndex.h"
#include "itkImageLinearConstIteratorWithIndex.h"

#endif

namespace itk {


template<class TInputImage, class TOutputImage, class TKernel>
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>
::MovingHistogramImageFilterBase()
{
  m_PixelsPerTranslation = 0;
  // call again SetKernel in that class, to have the offsets computed for
  // the default kernel. An AnalyzeKernel() method as in the binary
  // morphology class may be a better way to go.
  this->SetKernel( this->GetKernel() );
}


template<class TInputImage, class TOutputImage, class TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>
::SetKernel( const KernelType& kernel )
{
  // first, build the list of offsets of added and removed pixels when the 
  // structuring element move of 1 pixel on 1 axis; do it for the 2 directions
  // on each axes.
  
  // transform the structuring element in an image for an easier
  // access to the data
  typedef Image< bool, TInputImage::ImageDimension > BoolImageType;
  typename BoolImageType::Pointer tmpSEImage = BoolImageType::New();
  tmpSEImage->SetRegions( kernel.GetSize() );
  tmpSEImage->Allocate();
  RegionType tmpSEImageRegion = tmpSEImage->GetRequestedRegion();
  ImageRegionIteratorWithIndex<BoolImageType> kernelImageIt;
  kernelImageIt = ImageRegionIteratorWithIndex<BoolImageType>(tmpSEImage, tmpSEImageRegion);
  kernelImageIt.GoToBegin();
  KernelIteratorType kernel_it = kernel.Begin();
  OffsetListType kernelOffsets;

  // create a center index to compute the offset
  IndexType centerIndex;
  for( unsigned axis=0; axis<ImageDimension; axis++)
    {
    centerIndex[axis] = kernel.GetSize()[axis] / 2;
    }
  
  unsigned long count = 0;
  while( !kernelImageIt.IsAtEnd() )
    {
    // TODO: be sure that removing that comparison doesn't break backward compatibility
    // only to fix msvc warning C4804: '>' : unsafe use of type 'bool' in operation
    // kernelImageIt.Set( *kernel_it > 0 );
    //
    kernelImageIt.Set( *kernel_it );
    // if( *kernel_it > 0 )
    if( *kernel_it )
      {
      kernelImageIt.Set( true );
      kernelOffsets.push_front( kernelImageIt.GetIndex() - centerIndex );
      count++;
      }
    else
      { 
      kernelImageIt.Set( false );
      }
    ++kernelImageIt;
    ++kernel_it;
    }
    

  // verify that the kernel contain at least one point
  if( count == 0 )
    {
    itkExceptionMacro( << "The kernel must contain at least one point." );
    }

  // no attribute should be modified before here to avoid setting the filter in a bad status
  // store the kernel !!
  Superclass::SetKernel( kernel );

  // clear the already stored values
  m_AddedOffsets.clear();
  m_RemovedOffsets.clear();
  //m_Axes

  // store the kernel offset list
  m_KernelOffsets = kernelOffsets;

  FixedArray< unsigned long, ImageDimension > axisCount;
  axisCount.Fill( 0 );

  for( unsigned axis=0; axis<ImageDimension; axis++)
    {
    OffsetType refOffset;
    refOffset.Fill( 0 );
    for( int direction=-1; direction<=1; direction +=2)
      {
      refOffset[axis] = direction;
      for( kernelImageIt.GoToBegin(); !kernelImageIt.IsAtEnd(); ++kernelImageIt)
        {
        IndexType idx = kernelImageIt.GetIndex();
        
        if( kernelImageIt.Get() )
          {
          // search for added pixel during a translation
          IndexType nextIdx = idx + refOffset;
          if( tmpSEImageRegion.IsInside( nextIdx ) )
            {
            if( !tmpSEImage->GetPixel( nextIdx ) )
              {
              m_AddedOffsets[refOffset].push_front( nextIdx - centerIndex );
              axisCount[axis]++;
              }
            }
          else
            {
            m_AddedOffsets[refOffset].push_front( nextIdx - centerIndex );
            axisCount[axis]++;
            }
          // search for removed pixel during a translation
          IndexType prevIdx = idx - refOffset;
          if( tmpSEImageRegion.IsInside( prevIdx ) )
            {
            if( !tmpSEImage->GetPixel( prevIdx ) )
              {
              m_RemovedOffsets[refOffset].push_front( idx - centerIndex );
              axisCount[axis]++;
              }
            }
          else
            {
            m_RemovedOffsets[refOffset].push_front( idx - centerIndex );
            axisCount[axis]++;
            }

          }
        }
      }
    }
    
  // search for the best axis
  typedef typename std::set<DirectionCost> MapCountType;
  MapCountType invertedCount;
  unsigned int i;
  for( i=0; i<ImageDimension; i++ )
    {
    invertedCount.insert( DirectionCost( i, axisCount[i] ) );
    }

  i=0;
  for( typename MapCountType::iterator it=invertedCount.begin(); it != invertedCount.end(); it++, i++)
    {
    m_Axes[i] = it->m_Dimension;
    }

  m_PixelsPerTranslation = axisCount[m_Axes[ImageDimension - 1]] / 2;  // divided by 2 because there is 2 directions on the axis
}


template<class TInputImage, class TOutputImage, class TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>
::GetDirAndOffset(const IndexType LineStart, 
      const IndexType PrevLineStart,
      OffsetType &LineOffset,
      OffsetType &Changes,
      int &LineDirection)
{
  // when moving between lines in the same plane there should be only
  // 1 non zero (positive) entry in LineOffset.
  // When moving between planes there will be some negative ones too.
  LineOffset = Changes = LineStart - PrevLineStart;
  for (int y=0;y<ImageDimension;y++) 
    {
    if (LineOffset[y] > 0)
      {
      LineOffset[y]=1;  // should be 1 anyway
      LineDirection=y;
      }
    else
      {
      LineOffset[y]=0;
      }
    }
}


template<class TInputImage, class TOutputImage, class TKernel>
void
MovingHistogramImageFilterBase<TInputImage, TOutputImage, TKernel>
::PrintSelf(std::ostream &os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "PixelsPerTranslation: " << m_PixelsPerTranslation << std::endl;
}


}// end namespace itk
#endif