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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkMaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator.txx,v $
Language: C++
Date: $Date: 2009-03-04 15:23:58 $
Version: $Revision: 1.7 $
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 __itkMaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator_txx
#define __itkMaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator_txx
#include "itkMaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator.h"
#include "itkNumericTraits.h"
#include "itkImageRegionConstIterator.h"
#include "itkConstNeighborhoodIterator.h"
namespace itk {
namespace Statistics {
template< class TImageType, class THistogramFrequencyContainer >
MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator() :
m_ImageMask(NULL), m_InsidePixelValue(NumericTraits<PixelType>::One)
{
// Empty
}
template< class TImageType, class THistogramFrequencyContainer >
void
MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
FillHistogram(RadiusType radius, RegionType region)
{
if (m_ImageMask.IsNull())
{
// If there's no mask set, just use the (faster) superclass method
Superclass::FillHistogram(radius, region);
return;
}
// Iterate over all of those pixels and offsets, adding each
// co-occurrence pair to the histogram
typedef ConstNeighborhoodIterator<ImageType> NeighborhoodIteratorType;
NeighborhoodIteratorType neighborIt, maskNeighborIt;
neighborIt = NeighborhoodIteratorType(radius, this->GetInput(), region);
maskNeighborIt = NeighborhoodIteratorType(radius, m_ImageMask, region);
for (neighborIt.GoToBegin(), maskNeighborIt.GoToBegin();
!neighborIt.IsAtEnd(); ++neighborIt, ++maskNeighborIt)
{
if (maskNeighborIt.GetCenterPixel() != m_InsidePixelValue)
{
continue; // Go to the next loop if we're not in the mask
}
const PixelType centerPixelIntensity = neighborIt.GetCenterPixel();
if (centerPixelIntensity < this->GetMin() ||
centerPixelIntensity > this->GetMax())
{
continue; // don't put a pixel in the histogram if the value
// is out-of-bounds.
}
typename OffsetVector::ConstIterator offsets;
for(offsets = this->GetOffsets()->Begin(); offsets != this->GetOffsets()->End(); offsets++)
{
if (maskNeighborIt.GetPixel(offsets.Value()) != m_InsidePixelValue)
{
continue; // Go to the next loop if we're not in the mask
}
bool pixelInBounds;
const PixelType pixelIntensity =
neighborIt.GetPixel(offsets.Value(), pixelInBounds);
if (!pixelInBounds)
{
continue; // don't put a pixel in the histogram if it's out-of-bounds.
}
if (pixelIntensity < this->GetMin() ||
pixelIntensity > this->GetMax())
{
continue; // don't put a pixel in the histogram if the value
// is out-of-bounds.
}
// Now make both possible co-occurrence combinations and increment the
// histogram with them.
MeasurementVectorType cooccur;
cooccur[0] = centerPixelIntensity;
cooccur[1] = pixelIntensity;
this->GetOutput()->IncreaseFrequency(cooccur, 1);
cooccur[1] = centerPixelIntensity;
cooccur[0] = pixelIntensity;
this->GetOutput()->IncreaseFrequency(cooccur, 1);
}
}
}
template< class TImageType, class THistogramFrequencyContainer >
void
MaskedScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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