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itkCompositeValleyFunction.h

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00001 /*========================================================================= 00002 00003 Program: Insight Segmentation & Registration Toolkit 00004 Module: $RCSfile: itkCompositeValleyFunction.h,v $ 00005 Language: C++ 00006 Date: $Date: 2003/09/10 14:29:37 $ 00007 Version: $Revision: 1.9 $ 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 __itkCompositeValleyFunction_h 00018 #define __itkCompositeValleyFunction_h 00019 00020 #include "itkArray.h" 00021 #include "itkCacheableScalarFunction.h" 00022 #include <vector> 00023 00024 namespace itk { 00025 00071 class TargetClass 00072 { 00073 public: 00075 TargetClass(double mean, double sigma) 00076 { 00077 m_Mean = mean ; 00078 m_Sigma = sigma ; 00079 } 00080 00082 void SetMean(double mean) { m_Mean = mean ; } 00083 double GetMean() { return m_Mean ; } 00084 00086 void SetSigma(double sigma) { m_Sigma = sigma ; } 00087 double GetSigma() { return m_Sigma ; } 00088 00089 private: 00090 double m_Mean ; 00091 double m_Sigma ; 00092 } ; // end of class 00093 00094 class CompositeValleyFunction : public CacheableScalarFunction 00095 { 00096 public: 00097 00099 typedef CacheableScalarFunction Superclass; 00100 00102 typedef Superclass::MeasureType MeasureType; 00103 typedef Superclass::MeasureArrayType MeasureArrayType; 00104 00106 CompositeValleyFunction( const MeasureArrayType & classMeans, 00107 const MeasureArrayType & classSigmas ); 00108 00110 virtual ~CompositeValleyFunction() {} 00111 00113 double GetUpperBound() { return m_UpperBound ; } 00114 00116 double GetLowerBound() { return m_LowerBound ; } 00117 00120 MeasureType operator() (MeasureType x) 00121 { 00122 if (x > m_UpperBound || x < m_LowerBound) { return 1; } 00123 00124 if (!this->IsCacheAvailable()) 00125 { return this->Evaluate(x); } 00126 else 00127 { return GetCachedValue(x); } 00128 } 00129 00131 inline MeasureType Evaluate(MeasureType x) 00132 { 00133 MeasureType res = 1; 00134 00135 for (unsigned int k = 0 ; k < m_Targets.size() ; k++) 00136 { 00137 res *= valley( ( x - m_Targets[k].GetMean() ) / 00138 m_Targets[k].GetSigma() ); 00139 } 00140 00141 return res; 00142 } 00143 00145 inline MeasureType valley(MeasureType d) 00146 { return 1 - 1 / (1+d*d/3); } 00147 00148 protected: 00149 void AddNewClass(double mean, double sigma) 00150 { 00151 TargetClass aClass(mean, sigma) ; 00152 m_Targets.push_back(aClass) ; 00153 } 00154 00156 void Initialize() ; 00157 00158 private: 00160 std::vector<TargetClass> m_Targets; 00161 00164 double m_UpperBound ; 00165 00168 double m_LowerBound ; 00169 00170 } ; // end of class 00171 00172 } // end of namespace itk 00173 #endif

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