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itkGaussianMembershipFunction.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkGaussianMembershipFunction.h,v $
00005   Language:  C++
00006   Date:      $Date: 2009-05-02 05:43:55 $
00007   Version:   $Revision: 1.1 $
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 #ifndef __itkGaussianMembershipFunction_h
00018 #define __itkGaussianMembershipFunction_h
00019 
00020 #include "itkArray.h"
00021 #include "itkMatrix.h"
00022 #include "itkMembershipFunctionBase.h"
00023 
00024 namespace itk { 
00025 namespace Statistics {
00026 
00040 template< class TMeasurementVector >
00041 class ITK_EXPORT GaussianMembershipFunction :
00042     public MembershipFunctionBase< TMeasurementVector >
00043 {
00044 public:
00046   typedef GaussianMembershipFunction                    Self;
00047   typedef MembershipFunctionBase< TMeasurementVector >  Superclass;
00048   typedef SmartPointer<Self>                            Pointer;
00049   typedef SmartPointer<const Self>                      ConstPointer;
00050 
00052   itkTypeMacro(GaussianMembershipFunction, MembershipFunction);
00053   itkNewMacro(Self);
00055 
00057   typedef TMeasurementVector MeasurementVectorType;
00058 
00060   typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
00061 
00063   typedef Array< double >                               MeanType;
00064 
00066   typedef VariableSizeMatrix< double >                  CovarianceType;
00067 
00069   void SetMean( const MeanType & mean );
00070   itkGetConstMacro( Mean, MeanType );
00072 
00076   void SetCovariance(const CovarianceType & cov); 
00077   itkGetConstMacro( Covariance, CovarianceType ); 
00079 
00081   double Evaluate(const MeasurementVectorType &measurement) const;
00082 
00084   Pointer Clone(); 
00085 
00086 protected:
00087   GaussianMembershipFunction(void);
00088   virtual ~GaussianMembershipFunction(void) {}
00089   void PrintSelf(std::ostream& os, Indent indent) const;
00090 
00091 private:
00092   MeanType        m_Mean;           // mean
00093   CovarianceType  m_Covariance;     // covariance matrix
00094 
00095   // inverse covariance matrix which is automatically calculated 
00096   // when covariace matirx is set.  This speed up the GetProbability()
00097   CovarianceType  m_InverseCovariance; 
00098 
00099   // pre_factor which is automatically calculated 
00100   // when covariace matirx is set.  This speeds up the GetProbability()  
00101   double m_PreFactor;
00102 
00105   bool m_IsCovarianceZero;
00106 };
00107 
00108 } // end of namespace Statistics
00109 } // end namespace itk
00110 
00111 #ifndef ITK_MANUAL_INSTANTIATION
00112 #include "itkGaussianMembershipFunction.txx"
00113 #endif
00114 
00115 #endif
00116 

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