itkweightedmeancalculator.txx

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/*=========================================================================

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkWeightedMeanCalculator.txx,v $
  Language:  C++
  Date:      $Date: 2005-07-26 15:55:07 $
  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 __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