00001 /*========================================================================= 00002 00003 Program: Insight Segmentation & Registration Toolkit 00004 Module: $RCSfile: itkGaussianDensityFunction.h,v $ 00005 Language: C++ 00006 Date: $Date: 2002/09/23 20:28:33 $ 00007 Version: $Revision: 1.10 $ 00008 00009 Copyright (c) 2002 Insight 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 __itkGaussianDensityFunction_h 00018 #define __itkGaussianDensityFunction_h 00019 00020 #include "vnl/vnl_vector.h" 00021 #include "vnl/vnl_matrix.h" 00022 #include "vnl/algo/vnl_matrix_inverse.h" 00023 #include "vnl/algo/vnl_determinant.h" 00024 #include "vnl/vnl_math.h" 00025 00026 #include "itkMatrix.h" 00027 #include "itkDensityFunction.h" 00028 00029 namespace itk{ 00030 namespace Statistics{ 00031 00045 template< class TMeasurementVector > 00046 class ITK_EXPORT GaussianDensityFunction : 00047 public DensityFunction< TMeasurementVector > 00048 { 00049 public: 00051 typedef GaussianDensityFunction Self; 00052 typedef DensityFunction< TMeasurementVector > Superclass ; 00053 typedef SmartPointer<Self> Pointer; 00054 00056 itkTypeMacro(GaussianDensityFunction, DensityFunction); 00057 itkNewMacro(Self); 00058 00060 typedef TMeasurementVector MeasurementVectorType ; 00061 00063 itkStaticConstMacro(VectorDimension, unsigned int, 00064 TMeasurementVector::Length); 00065 00066 typedef Vector< double, itkGetStaticConstMacro(VectorDimension) > MeanType ; 00067 typedef Matrix< double, itkGetStaticConstMacro(VectorDimension), itkGetStaticConstMacro(VectorDimension) > CovarianceType ; 00068 00070 void SetMean(MeanType* mean) 00071 { 00072 if ( m_Mean != mean) 00073 { 00074 m_Mean = mean ; 00075 this->Modified() ; 00076 } 00077 } 00078 00080 MeanType* GetMean() const 00081 { return m_Mean ; } 00082 00086 void SetCovariance(CovarianceType* cov); 00087 00089 CovarianceType* GetCovariance() const ; 00090 00093 double Evaluate(const MeasurementVectorType &measurement) const ; 00094 00095 protected: 00096 GaussianDensityFunction(void) ; 00097 virtual ~GaussianDensityFunction(void) {} 00098 void PrintSelf(std::ostream& os, Indent indent) const; 00099 00100 private: 00101 MeanType* m_Mean; // mean 00102 CovarianceType* m_Covariance; // covariance matrix 00103 00104 // inverse covariance matrix which is automatically calculated 00105 // when covariace matirx is set. This speed up the GetProbability() 00106 CovarianceType m_InverseCovariance; 00107 00108 // pre_factor which is automatically calculated 00109 // when covariace matirx is set. This speeds up the GetProbability() 00110 double m_PreFactor; 00111 00114 bool m_IsCovarianceZero ; 00115 }; 00116 00117 } // end of namespace Statistics 00118 } // end namespace itk 00119 00120 #ifndef ITK_MANUAL_INSTANTIATION 00121 #include "itkGaussianDensityFunction.txx" 00122 #endif 00123 00124 #endif