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 __itkMultipleValuedVnlCostFunctionAdaptor_h 00019 #define __itkMultipleValuedVnlCostFunctionAdaptor_h 00020 00021 #include "itkMultipleValuedCostFunction.h" 00022 #include "vnl/vnl_least_squares_function.h" 00023 00024 namespace itk 00025 { 00036 class ITK_EXPORT MultipleValuedVnlCostFunctionAdaptor: 00037 public vnl_least_squares_function 00038 { 00039 public: 00040 00042 typedef vnl_vector< double > InternalParametersType; 00043 00045 typedef vnl_vector< double > InternalMeasureType; 00046 00048 typedef vnl_matrix< double > InternalDerivativeType; 00049 00051 typedef MultipleValuedCostFunction::MeasureType MeasureType; 00052 00054 typedef MultipleValuedCostFunction::ParametersType ParametersType; 00055 00057 typedef MultipleValuedCostFunction::DerivativeType DerivativeType; 00058 00060 typedef Array< double > ScalesType; 00061 00063 MultipleValuedVnlCostFunctionAdaptor(unsigned int spaceDimension, 00064 unsigned int numberOfValues); 00065 00067 void SetCostFunction(MultipleValuedCostFunction *costFunction) 00068 { m_CostFunction = costFunction; } 00069 00071 const MultipleValuedCostFunction * GetCostFunction(void) const 00072 { return m_CostFunction; } 00073 00075 virtual void f(const InternalParametersType & inparameters, 00076 InternalMeasureType & measures); 00077 00079 virtual void gradf(const InternalParametersType & inparameters, 00080 InternalDerivativeType & gradient); 00081 00083 virtual void compute(const InternalParametersType & x, 00084 InternalMeasureType *f, 00085 InternalDerivativeType *g); 00086 00088 void ConvertExternalToInternalGradient( 00089 const DerivativeType & input, 00090 InternalDerivativeType & output); 00091 00093 void ConvertExternalToInternalMeasures( 00094 const MeasureType & input, 00095 InternalMeasureType & output); 00096 00100 void SetUseGradient(bool); 00101 00102 void UseGradientOn() { this->SetUseGradient(true); } 00103 void UseGradientOff() { this->SetUseGradient(false); } 00104 bool GetUseGradient() const; 00105 00107 void SetScales(const ScalesType & scales); 00108 00113 unsigned long AddObserver(const EventObject & event, Command *) const; 00114 00119 const MeasureType & GetCachedValue() const; 00120 00121 const DerivativeType & GetCachedDerivative() const; 00122 00123 const ParametersType & GetCachedCurrentParameters() const; 00124 00125 protected: 00126 00129 void ReportIteration(const EventObject & event) const; 00130 00131 private: 00132 00133 MultipleValuedCostFunction::Pointer m_CostFunction; 00134 00135 bool m_ScalesInitialized; 00136 ScalesType m_Scales; 00137 Object::Pointer m_Reporter; 00138 00139 mutable MeasureType m_CachedValue; 00140 mutable DerivativeType m_CachedDerivative; 00141 mutable ParametersType m_CachedCurrentParameters; 00142 }; // end of Class CostFunction 00143 } // end namespace itk 00144 00145 #endif 00146