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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkGoodnessOfFitMixtureModelCostFunction.txx,v $
Language: C++
Date: $Date: 2009-03-04 15:23:50 $
Version: $Revision: 1.9 $
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 __itkGoodnessOfFitMixtureModelCostFunction_txx
#define __itkGoodnessOfFitMixtureModelCostFunction_txx
#include "itkGoodnessOfFitMixtureModelCostFunction.h"
namespace itk {
namespace Statistics {
template< class TInputSample >
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::GoodnessOfFitMixtureModelCostFunction()
{
m_Function = 0;
}
template< class TInputSample >
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::~GoodnessOfFitMixtureModelCostFunction()
{
}
template< class TInputSample >
void
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Function " << m_Function << std::endl;
for ( unsigned int i = 0; i < m_Components.size(); i++)
{
os << indent << "Components["<< i <<"] " << m_Components[i] << std::endl;
}
}
template< class TInputSample >
void
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::AddComponent(ComponentType* component)
{
m_Components.push_back(component);
}
template< class TInputSample >
void
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::SetFunction(FunctionType* core)
{
if ( m_Function != core )
{
m_Function = core;
this->Modified();
}
}
template< class TInputSample >
unsigned int
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::GetNumberOfParameters() const
{
unsigned int size = 0;
ComponentType* component;
for ( unsigned int componentIndex = 0; componentIndex < m_Components.size();
componentIndex++ )
{
component = m_Components[componentIndex];
size += component->GetNumberOfParameters();
}
return size;
}
template< class TInputSample >
typename GoodnessOfFitMixtureModelCostFunction< TInputSample >::MeasureType
GoodnessOfFitMixtureModelCostFunction< TInputSample >
::GetValue(const ParametersType ¶meters) const
{
unsigned int i;
double value = 0.0;
unsigned int index = 0;
unsigned int paramSize;
ComponentType* component;
for ( unsigned int componentIndex = 0; componentIndex < m_Components.size();
componentIndex++ )
{
component = m_Components[componentIndex];
paramSize = component->GetNumberOfParameters();
ParametersType params(paramSize);
for ( i = 0; i < paramSize; i++)
{
params[i] = parameters[index];
index++;
}
component->SetParameters(params);
component->SetUseExpectedHistogram(m_Function->GetUseExpectedHistogram());
if ( component->GetObservedHistogram() == 0 )
{
component->CreateHistograms();
}
component->Resample();
if ( component->GetResampledSample()->GetTotalFrequency() == 0 )
{
return NumericTraits< double >::max();
}
component->CalculateProjectionAxes();
m_Function->
SetTotalObservedScale(component->GetTotalObservedScale());
m_Function->SetObservedHistogram(component->GetObservedHistogram());
if ( m_Function->GetUseExpectedHistogram() )
{
m_Function->SetExpectedHistogram(component->GetExpectedHistogram());
}
MeasurementVectorSizeType measurementVectorSize =
component->GetMeasurementVectorSize();
if( measurementVectorSize == 0 )
{
itkExceptionMacro( << "Must set MeasurementVectorSize for the sample" );
}
for (i = 0; i < measurementVectorSize; i++)
{
component->Project(i);
if ( m_Function->GetUseExpectedHistogram() )
{
component->UpdateExpectedHistogram();
}
m_Function->Update();
value += m_Function->GetOutput();
}
} // end of while ( iter ...
return value;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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