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itkCumulativeGaussianOptimizer.h

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00001 /*========================================================================= 00002 00003 Program: Insight Segmentation & Registration Toolkit 00004 Module: $RCSfile: itkCumulativeGaussianOptimizer.h,v $ 00005 Language: C++ 00006 Date: $Date: 2003/11/08 19:39:22 $ 00007 Version: $Revision: 1.4 $ 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 00018 #ifndef _itkCumulativeGaussianOptimizer_h 00019 #define _itkCumulativeGaussianOptimizer_h 00020 00021 #include "itkMultipleValuedNonLinearOptimizer.h" 00022 #include "itkCumulativeGaussianCostFunction.h" 00023 00024 namespace itk 00025 { 00026 00047 class ITK_EXPORT CumulativeGaussianOptimizer : 00048 public MultipleValuedNonLinearOptimizer 00049 { 00050 00051 public: 00052 00054 typedef CumulativeGaussianOptimizer Self; 00055 typedef MultipleValuedNonLinearOptimizer Superclass; 00056 typedef SmartPointer<Self> Pointer; 00057 typedef SmartPointer<const Self> ConstPointer; 00058 00060 typedef CumulativeGaussianCostFunction CostFunctionType; 00061 00063 typedef CostFunctionType::MeasureType MeasureType; 00064 00066 itkNewMacro(Self); 00067 00069 itkTypeMacro(CumulativeGaussianOptimizer, MultipleValuedNonLinearOptimizer); 00070 00072 itkSetMacro(DifferenceTolerance, double); 00073 itkSetMacro(Verbose, bool); 00074 itkGetMacro(ComputedMean, double); 00075 itkGetMacro(ComputedStandardDeviation, double); 00076 itkGetMacro(UpperAsymptote, double); 00077 itkGetMacro(LowerAsymptote, double); 00078 itkGetMacro(FinalSampledArray, MeasureType*); 00079 itkGetMacro(FitError, double); 00080 00081 void SetDataArray(MeasureType * dataArray); 00082 00084 void StartOptimization(); 00085 00087 void PrintArray(MeasureType * array); 00088 00089 protected: 00090 CumulativeGaussianOptimizer(); 00091 virtual ~CumulativeGaussianOptimizer(); 00092 void PrintSelf(std::ostream &os, Indent indent) const; 00093 00094 private: 00095 00097 double m_DifferenceTolerance; 00098 00100 double m_ComputedMean; 00101 00103 double m_ComputedStandardDeviation; 00104 00106 double m_ComputedAmplitude; 00107 00109 double m_ComputedTransitionHeight; 00110 00112 double m_UpperAsymptote; 00113 00115 double m_LowerAsymptote; 00116 00118 double m_OffsetForMean; 00119 00121 bool m_Verbose; 00122 00124 double m_FitError; 00125 00127 MeasureType * m_FinalSampledArray; 00128 00130 MeasureType * m_CumulativeGaussianArray; 00131 00133 MeasureType * ExtendGaussian(MeasureType * originalArray, MeasureType * extendedArray, int startingPointForInsertion); 00134 00136 MeasureType * RecalculateExtendedArrayFromGaussianParameters(MeasureType * originalArray, 00137 MeasureType * extendedArray, 00138 int startingPointForInsertion); 00139 00141 double FindAverageSumOfSquaredDifferences(MeasureType * array1, MeasureType * array2); 00142 00144 void FindParametersOfGaussian(MeasureType * sampledGaussianArray); 00145 00147 void MeasureGaussianParameters(MeasureType * array); 00148 00150 void PrintComputedParameterHeader(); 00151 00153 void PrintComputedParameters(); 00154 00156 double VerticalBestShift(MeasureType * originalArray, MeasureType * newArray); 00157 }; 00158 00159 } // end namespace itk 00160 00161 #endif 00162 00163 00164

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