Review/Statistics/itkGaussianMixtureModelComponent.h

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

  Program:   Insight Segmentation & Registration Toolkit
  Module:    $RCSfile: itkGaussianMixtureModelComponent.h,v $
  Language:  C++
  Date:      $Date: 2009-05-02 05:43:55 $
  Version:   $Revision: 1.1 $

  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 "itkGaussianMembershipFunction.h"
#include "itkWeightedMeanSampleFilter.h"
#include "itkWeightedCovarianceSampleFilter.h"

namespace itk { 
namespace Statistics {
  
template< class TSample >
class ITK_EXPORT 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 GaussianMembershipFunction< MeasurementVectorType > 
  NativeMembershipFunctionType;

  typedef WeightedMeanSampleFilter< TSample >       MeanEstimatorType;
  typedef WeightedCovarianceSampleFilter< 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_GaussianMembershipFunction;

  typename MeanEstimatorType::MeasurementVectorType    m_Mean;
  typename CovarianceEstimatorType::MatrixType         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