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itkGaussianMixtureModelComponent.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkGaussianMixtureModelComponent.h,v $
00005   Language:  C++
00006   Date:      $Date: 2005/07/26 15:54:55 $
00007   Version:   $Revision: 1.10 $
00008 
00009   Copyright (c) Insight Software Consortium. All rights reserved.
00010   See ITKCopyright.txt or http://www.itk.org/HTML/Copyright.htm for details.
00011 
00012      This software is distributed WITHOUT ANY WARRANTY; without even 
00013      the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR 
00014      PURPOSE.  See the above copyright notices for more information.
00015 
00016 =========================================================================*/
00017 
00018 #ifndef __itkGaussianMixtureModelComponent_h
00019 #define __itkGaussianMixtureModelComponent_h
00020 
00021 #include "itkMixtureModelComponentBase.h"
00022 #include "itkGaussianDensityFunction.h"
00023 #include "itkWeightedMeanCalculator.h"
00024 #include "itkWeightedCovarianceCalculator.h"
00025 
00026 namespace itk{ 
00027 namespace Statistics{
00028   
00047 template< class TSample >
00048 class GaussianMixtureModelComponent :
00049     public MixtureModelComponentBase< TSample >
00050 {
00051 public:
00053   typedef GaussianMixtureModelComponent Self;
00054   typedef MixtureModelComponentBase< TSample > Superclass ;
00055   typedef SmartPointer<Self> Pointer;
00056   typedef SmartPointer<const Self> ConstPointer;
00057 
00059   itkTypeMacro(GaussianMixtureModelComponent, MixtureModelComponentBase);
00060   itkNewMacro(Self) ;
00062 
00063 
00065   typedef typename Superclass::MeasurementVectorType MeasurementVectorType ;
00066   typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType ;
00067   typedef typename Superclass::MembershipFunctionType MembershipFunctionType ;
00068   typedef typename Superclass::WeightArrayType WeightArrayType ;
00069   typedef typename Superclass::ParametersType ParametersType ;
00070 
00072   typedef GaussianDensityFunction< MeasurementVectorType > 
00073   NativeMembershipFunctionType ;
00074 
00077   typedef WeightedMeanCalculator< TSample > MeanEstimatorType ;
00078   typedef WeightedCovarianceCalculator< TSample > CovarianceEstimatorType ;
00079 
00081   typedef typename MeanEstimatorType::OutputType MeanType ;
00082 
00084   typedef typename CovarianceEstimatorType::OutputType CovarianceType ;
00085 
00087   void SetSample(const TSample* sample) ;
00088 
00090   void SetParameters(const ParametersType &parameters) ;
00091 
00092 protected:
00093   GaussianMixtureModelComponent() ;
00094   virtual ~GaussianMixtureModelComponent() {}
00095   void PrintSelf(std::ostream& os, Indent indent) const;
00096   
00099   double CalculateParametersChange() ;
00100 
00102   void GenerateData() ;
00103 
00104 private:
00105   typename NativeMembershipFunctionType::Pointer m_GaussianDensityFunction ;
00106   MeanType m_Mean ;
00107   CovarianceType m_Covariance ;
00108   typename MeanEstimatorType::Pointer m_MeanEstimator ;
00109   typename CovarianceEstimatorType::Pointer m_CovarianceEstimator ;
00110 } ; // end of class
00111     
00112 } // end of namespace Statistics 
00113 } // end of namespace itk 
00114 
00115 #ifndef ITK_MANUAL_INSTANTIATION
00116 #include "itkGaussianMixtureModelComponent.txx"
00117 #endif
00118 
00119 #endif
00120 
00121 

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