ITK
4.1.0
Insight Segmentation and Registration Toolkit
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00001 /*========================================================================= 00002 * 00003 * Copyright Insight Software Consortium 00004 * 00005 * Licensed under the Apache License, Version 2.0 (the "License"); 00006 * you may not use this file except in compliance with the License. 00007 * You may obtain a copy of the License at 00008 * 00009 * http://www.apache.org/licenses/LICENSE-2.0.txt 00010 * 00011 * Unless required by applicable law or agreed to in writing, software 00012 * distributed under the License is distributed on an "AS IS" BASIS, 00013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 00014 * See the License for the specific language governing permissions and 00015 * limitations under the License. 00016 * 00017 *=========================================================================*/ 00018 #ifndef __itkMahalanobisDistanceMembershipFunction_h 00019 #define __itkMahalanobisDistanceMembershipFunction_h 00020 00021 #include "itkVariableSizeMatrix.h" 00022 00023 #include "itkMembershipFunctionBase.h" 00024 00025 namespace itk 00026 { 00027 namespace Statistics 00028 { 00061 template< class TVector > 00062 class ITK_EXPORT MahalanobisDistanceMembershipFunction: 00063 public MembershipFunctionBase< TVector > 00064 { 00065 public: 00067 typedef MahalanobisDistanceMembershipFunction Self; 00068 typedef MembershipFunctionBase< TVector > Superclass; 00069 typedef SmartPointer< Self > Pointer; 00070 typedef SmartPointer< const Self > ConstPointer; 00071 00073 itkTypeMacro(MahalanobisDistanceMembershipFunction, MembershipFunctionBase); 00074 itkNewMacro(Self); 00076 00078 typedef typename Superclass::Pointer MembershipFunctionPointer; 00079 00081 typedef TVector MeasurementVectorType; 00082 00084 typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType; 00085 00088 typedef typename itk::NumericTraits< MeasurementVectorType >::RealType MeasurementVectorRealType; 00089 typedef MeasurementVectorRealType MeanVectorType; 00090 00092 typedef VariableSizeMatrix< double > CovarianceMatrixType; 00093 00096 void SetMean(const MeanVectorType & mean); 00097 00100 itkGetConstReferenceMacro(Mean, MeanVectorType); 00101 00105 void SetCovariance(const CovarianceMatrixType & cov); 00106 00109 itkGetConstReferenceMacro(Covariance, CovarianceMatrixType); 00110 00116 double Evaluate(const MeasurementVectorType & measurement) const; 00117 00121 virtual typename LightObject::Pointer InternalClone() const; 00122 00123 protected: 00124 MahalanobisDistanceMembershipFunction(void); 00125 virtual ~MahalanobisDistanceMembershipFunction(void) {} 00126 void PrintSelf(std::ostream & os, Indent indent) const; 00127 00128 private: 00129 MeanVectorType m_Mean; // mean 00130 CovarianceMatrixType m_Covariance; // covariance matrix 00131 00132 // inverse covariance matrix. automatically calculated 00133 // when covariace matirx is set. 00134 CovarianceMatrixType m_InverseCovariance; 00135 00137 bool m_CovarianceNonsingular; 00138 }; 00139 } // end of namespace Statistics 00140 } // end namespace itk 00141 00142 #ifndef ITK_MANUAL_INSTANTIATION 00143 #include "itkMahalanobisDistanceMembershipFunction.hxx" 00144 #endif 00145 00146 #endif 00147