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/*=========================================================================
Program: Insight Segmentation & Registration Toolkit
Module: $RCSfile: itkWeightedMeanCalculator.txx,v $
Language: C++
Date: $Date: 2009-03-04 19:29:55 $
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 __itkWeightedMeanCalculator_txx
#define __itkWeightedMeanCalculator_txx
namespace itk {
namespace Statistics {
template< class TSample >
WeightedMeanCalculator< TSample >
::WeightedMeanCalculator()
{
m_WeightFunction = 0;
m_Weights = 0;
m_Output.Fill(0.0);
}
template< class TSample >
void
WeightedMeanCalculator< TSample >
::PrintSelf(std::ostream& os, Indent indent) const
{
Superclass::PrintSelf(os,indent);
os << indent << "Output: " << m_Output << std::endl;
os << indent << "WeightFunction: ";
if ( m_WeightFunction != 0 )
{
os << m_WeightFunction << std::endl;
}
else
{
os << "not set." << std::endl;
}
os << indent << "Weights: ";
if ( m_Weights != 0 )
{
os << m_Weights << std::endl;
}
else
{
os << "not set." << std::endl;
}
}
template< class TSample >
void
WeightedMeanCalculator< TSample >
::SetWeights(WeightArrayType* array)
{
m_Weights = array;
this->Modified();
}
template< class TSample >
typename WeightedMeanCalculator< TSample >::WeightArrayType*
WeightedMeanCalculator< TSample >
::GetWeights()
{
return m_Weights;
}
template< class TSample >
void
WeightedMeanCalculator< TSample >
::SetWeightFunction(WeightFunctionType* func)
{
m_WeightFunction = func;
}
template< class TSample >
typename WeightedMeanCalculator< TSample >::WeightFunctionType*
WeightedMeanCalculator< TSample >
::GetWeightFunction()
{
return m_WeightFunction;
}
template< class TSample >
void
WeightedMeanCalculator< TSample >
::GenerateData()
{
const MeasurementVectorSizeType measurementVectorSize
= this->GetMeasurementVectorSize();
if( measurementVectorSize == 0 )
{
itkExceptionMacro(<< "MeasurementVectorSize not set" );
}
MeasurementVectorTraits::SetLength( m_Output, measurementVectorSize );
typename TSample::ConstIterator iter = this->GetInputSample()->Begin();
typename TSample::ConstIterator end = this->GetInputSample()->End();
double totalWeight = 0.0;
double weight;
unsigned int dim;
int measurementVectorIndex = 0;
typename TSample::MeasurementVectorType measurements;
if (m_WeightFunction != 0)
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
weight =
iter.GetFrequency() * m_WeightFunction->Evaluate(measurements);
totalWeight += weight;
for (dim = 0; dim < measurementVectorSize; dim++)
{
m_Output[dim] += measurements[dim] * weight;
}
++iter;
}
m_Output /= totalWeight;
}
else
{
while (iter != end)
{
measurements = iter.GetMeasurementVector();
weight = iter.GetFrequency() * (*m_Weights)[measurementVectorIndex];
totalWeight += weight;
for (dim = 0; dim < measurementVectorSize; dim++)
{
m_Output[dim] += measurements[dim] * weight;
}
++measurementVectorIndex;
++iter;
}
m_Output /= totalWeight;
}
}
template< class TSample >
typename WeightedMeanCalculator< TSample >::OutputType*
WeightedMeanCalculator< TSample >
::GetOutput()
{
return &m_Output;
}
} // end of namespace Statistics
} // end of namespace itk
#endif
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