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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkLogLikelihoodGoodnessOfFitFunction.txx,v $
Language: C++
Date: $Date: 2009-03-04 15:23:56 $
Version: $Revision: 1.12 $
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 __itkLogLikelihoodGoodnessOfFitFunction_txx
#define __itkLogLikelihoodGoodnessOfFitFunction_txx
#include "itkLogLikelihoodGoodnessOfFitFunction.h"
namespace itk {
namespace Statistics {
template< class TInputHistogram >
LogLikelihoodGoodnessOfFitFunction< TInputHistogram >
::LogLikelihoodGoodnessOfFitFunction()
{
this->SetUseExpectedHistogram(true);
m_Initialized = false;
}
template< class TInputHistogram >
void
LogLikelihoodGoodnessOfFitFunction< TInputHistogram >
::GenerateData()
{
const TInputHistogram* observedHistogram = this->GetObservedHistogram();
const TInputHistogram* expectedHistogram = this->GetExpectedHistogram();
float p, px, sum = 0.0f;
double ratio;
typename TInputHistogram::ConstIterator e_iter = expectedHistogram->Begin();
typename TInputHistogram::ConstIterator e_last = expectedHistogram->End();
typename TInputHistogram::ConstIterator o_iter = observedHistogram->Begin();
while ( e_iter != e_last )
{
p = e_iter.GetFrequency();
px = o_iter.GetFrequency();
ratio = px / p;
if ( ratio > this->GetEpsilon() && px > 0 )
{
sum += px * vcl_log(ratio);
}
else
{
sum += px * this->GetLogEpsilon();
}
++e_iter;
++o_iter;
}
sum *= 2.0;
this->GetOutput() = sum;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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