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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: 2007/03/29 19:37:00 $
00007   Version:   $Revision: 1.6 $
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);
00081 
00082   void SetDataArray(MeasureType * dataArray);
00083 
00085   void StartOptimization();
00086 
00088   void PrintArray(MeasureType * array);
00089 
00090 protected:
00091   CumulativeGaussianOptimizer();
00092   virtual ~CumulativeGaussianOptimizer();
00093   void PrintSelf(std::ostream &os, Indent indent) const;
00094 
00095 private:
00096 
00098   double  m_DifferenceTolerance;
00099 
00101   double  m_ComputedMean; 
00102 
00104   double  m_ComputedStandardDeviation; 
00105 
00107   double  m_ComputedAmplitude;  
00108 
00111   double  m_ComputedTransitionHeight;
00112 
00114   double  m_UpperAsymptote;
00115 
00117   double  m_LowerAsymptote;
00118 
00120   double  m_OffsetForMean;
00121 
00123   bool m_Verbose;
00124 
00126   double m_FitError;
00127 
00130   MeasureType * m_FinalSampledArray;
00131 
00133   MeasureType * m_CumulativeGaussianArray;
00134 
00136   MeasureType * ExtendGaussian(MeasureType * originalArray, MeasureType * extendedArray, int startingPointForInsertion);
00137 
00139   MeasureType * RecalculateExtendedArrayFromGaussianParameters(MeasureType * originalArray,
00140                                                                MeasureType * extendedArray,
00141                                                                int startingPointForInsertion);
00142 
00145   double FindAverageSumOfSquaredDifferences(MeasureType * array1, MeasureType * array2);
00146 
00148   void FindParametersOfGaussian(MeasureType * sampledGaussianArray);
00149 
00151   void MeasureGaussianParameters(MeasureType * array);
00152 
00154   void PrintComputedParameterHeader();
00155 
00157   void PrintComputedParameters();
00158 
00160   double VerticalBestShift(MeasureType * originalArray, MeasureType * newArray);
00161 };
00162 
00163 } // end namespace itk
00164 
00165 #endif
00166 

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