/usr/include/InsightToolkit/Algorithms/itkMeanSquaresHistogramImageToImageMetric.txx is in libinsighttoolkit3-dev 3.20.1-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 | /*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: itkMeanSquaresHistogramImageToImageMetric.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 __itkMeanSquaresHistogramImageToImageMetric_txx
#define __itkMeanSquaresHistogramImageToImageMetric_txx
#include "itkMeanSquaresHistogramImageToImageMetric.h"
namespace itk
{
template <class TFixedImage, class TMovingImage>
typename MeanSquaresHistogramImageToImageMetric<TFixedImage, TMovingImage>
::MeasureType
MeanSquaresHistogramImageToImageMetric<TFixedImage, TMovingImage>
::EvaluateMeasure(HistogramType& histogram) const
{
MeasureType measure = NumericTraits<MeasureType>::Zero;
HistogramIteratorType it = histogram.Begin();
HistogramIteratorType end = histogram.End();
HistogramFrequencyType totalNumberOfSamples =
NumericTraits<HistogramFrequencyType>::Zero;
while (it != end)
{
HistogramFrequencyType freq = it.GetFrequency();
if (freq > 0)
{
HistogramMeasurementVectorType value = it.GetMeasurementVector();
measure += (value[0] - value[1])*(value[0] - value[1])*freq;
totalNumberOfSamples += freq;
}
++it;
}
measure /= totalNumberOfSamples;
return measure;
}
} // End namespace itk
#endif // itkMeanSquaresHistogramImageToImageMetric_txx
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