Numerics/Statistics/itkGaussianMixtureModelComponent.h

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkGaussianMixtureModelComponent.h,v $
  Language:  C++
  Date:      $Date: 2009-03-04 15:23:48 $
  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 __itkGaussianMixtureModelComponent_h
#define __itkGaussianMixtureModelComponent_h

#include "itkMixtureModelComponentBase.h"
#include "itkGaussianDensityFunction.h"
#include "itkWeightedMeanCalculator.h"
#include "itkWeightedCovarianceCalculator.h"

namespace itk { 
namespace Statistics {
  
template< class TSample >
class GaussianMixtureModelComponent :
    public MixtureModelComponentBase< TSample >
{
public:
  typedef GaussianMixtureModelComponent        Self;
  typedef MixtureModelComponentBase< TSample > Superclass;
  typedef SmartPointer<Self>                   Pointer;
  typedef SmartPointer<const Self>             ConstPointer;

  itkTypeMacro(GaussianMixtureModelComponent, MixtureModelComponentBase);
  itkNewMacro(Self);


  typedef typename Superclass::MeasurementVectorType     MeasurementVectorType;
  typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
  typedef typename Superclass::MembershipFunctionType    MembershipFunctionType;
  typedef typename Superclass::WeightArrayType           WeightArrayType;
  typedef typename Superclass::ParametersType            ParametersType;

  typedef GaussianDensityFunction< MeasurementVectorType > 
  NativeMembershipFunctionType;

  typedef WeightedMeanCalculator< TSample >       MeanEstimatorType;
  typedef WeightedCovarianceCalculator< TSample > CovarianceEstimatorType;

  typedef typename MeanEstimatorType::OutputType MeanType;

  typedef typename CovarianceEstimatorType::OutputType CovarianceType;

  void SetSample(const TSample* sample);

  void SetParameters(const ParametersType &parameters);

protected:
  GaussianMixtureModelComponent();
  virtual ~GaussianMixtureModelComponent() {}
  void PrintSelf(std::ostream& os, Indent indent) const;
  
  double CalculateParametersChange();

  void GenerateData();

private:
  typename NativeMembershipFunctionType::Pointer m_GaussianDensityFunction;
  MeanType                                       m_Mean;
  CovarianceType                                 m_Covariance;
  typename MeanEstimatorType::Pointer            m_MeanEstimator;
  typename CovarianceEstimatorType::Pointer      m_CovarianceEstimator;
}; // end of class
    
} // end of namespace Statistics 
} // end of namespace itk 

#ifndef ITK_MANUAL_INSTANTIATION
#include "itkGaussianMixtureModelComponent.txx"
#endif

#endif