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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkScalarImageToGreyLevelCooccurrenceMatrixGenerator.txx,v $
Language: C++
Date: $Date: 2009-03-04 19:29:54 $
Version: $Revision: 1.11 $
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 __itkScalarImageToGreyLevelCooccurrenceMatrixGenerator_txx
#define __itkScalarImageToGreyLevelCooccurrenceMatrixGenerator_txx
#include "itkScalarImageToGreyLevelCooccurrenceMatrixGenerator.h"
#include "itkConstNeighborhoodIterator.h"
#include "vnl/vnl_math.h"
namespace itk {
namespace Statistics {
template< class TImageType, class THistogramFrequencyContainer >
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
ScalarImageToGreyLevelCooccurrenceMatrixGenerator() :
m_NumberOfBinsPerAxis(itkGetStaticConstMacro(DefaultBinsPerAxis)), m_Normalize(false)
{
m_LowerBound.Fill(NumericTraits<PixelType>::min());
m_UpperBound.Fill(NumericTraits<PixelType>::max() + 1);
m_Min = NumericTraits<PixelType>::min();
m_Max = NumericTraits<PixelType>::max();
}
template< class TImageType, class THistogramFrequencyContainer >
void
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
Compute( void )
{
// First, create an appropriate histogram with the right number of bins
// and mins and maxes correct for the image type.
m_Output = HistogramType::New();
typename HistogramType::SizeType size;
size.Fill(m_NumberOfBinsPerAxis);
m_Output->Initialize(size, m_LowerBound, m_UpperBound);
// Next, find the minimum radius that encloses all the offsets.
unsigned int minRadius = 0;
typename OffsetVector::ConstIterator offsets;
for(offsets = m_Offsets->Begin(); offsets != m_Offsets->End(); offsets++)
{
for(unsigned int i = 0; i < offsets.Value().GetOffsetDimension(); i++)
{
unsigned int distance = vnl_math_abs(offsets.Value()[i]);
if(distance > minRadius)
{
minRadius = distance;
}
}
}
RadiusType radius;
radius.Fill(minRadius);
// Now fill in the histogram
this->FillHistogram(radius, m_Input->GetRequestedRegion());
// Normalizse the histogram if requested
if(m_Normalize)
{
this->NormalizeHistogram();
}
}
template< class TImageType, class THistogramFrequencyContainer >
void
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
FillHistogram(RadiusType radius, RegionType region)
{
// Iterate over all of those pixels and offsets, adding each
// co-occurrence pair to the histogram
typedef ConstNeighborhoodIterator<ImageType> NeighborhoodIteratorType;
NeighborhoodIteratorType neighborIt;
neighborIt = NeighborhoodIteratorType(radius, m_Input, region);
for (neighborIt.GoToBegin(); !neighborIt.IsAtEnd(); ++neighborIt)
{
const PixelType centerPixelIntensity = neighborIt.GetCenterPixel();
if (centerPixelIntensity < m_Min ||
centerPixelIntensity > m_Max)
{
continue; // don't put a pixel in the histogram if the value
// is out-of-bounds.
}
typename OffsetVector::ConstIterator offsets;
for(offsets = m_Offsets->Begin(); offsets != m_Offsets->End(); offsets++)
{
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 < m_Min ||
pixelIntensity > m_Max)
{
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;
m_Output->IncreaseFrequency(cooccur, 1);
cooccur[1] = centerPixelIntensity;
cooccur[0] = pixelIntensity;
m_Output->IncreaseFrequency(cooccur, 1);
}
}
}
template< class TImageType, class THistogramFrequencyContainer >
void
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
NormalizeHistogram( void )
{
typename HistogramType::Iterator hit;
typename HistogramType::FrequencyType totalFrequency =
m_Output->GetTotalFrequency();
for (hit = m_Output->Begin(); hit != m_Output->End(); ++hit)
{
hit.SetFrequency(hit.GetFrequency() / totalFrequency);
}
}
template< class TImageType, class THistogramFrequencyContainer >
void
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< TImageType,
THistogramFrequencyContainer >::
SetPixelValueMinMax( PixelType min, PixelType max )
{
itkDebugMacro("setting Min to " << min << "and Max to " << max);
m_Min = min;
m_Max = max;
m_LowerBound.Fill(min);
m_UpperBound.Fill(max + 1);
this->Modified();
}
template< class TImageType, class THistogramFrequencyContainer >
void
ScalarImageToGreyLevelCooccurrenceMatrixGenerator< 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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