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itkGaussianGoodnessOfFitComponent.h

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00001 /*=========================================================================
00002 
00003   Program:   Insight Segmentation & Registration Toolkit
00004   Module:    $RCSfile: itkGaussianGoodnessOfFitComponent.h,v $
00005   Language:  C++
00006   Date:      $Date: 2009-03-04 15:23:48 $
00007   Version:   $Revision: 1.10 $
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 __itkGaussianGoodnessOfFitComponent_h
00018 #define __itkGaussianGoodnessOfFitComponent_h
00019 
00020 #include "itkGoodnessOfFitComponentBase.h"
00021 #include "itkGaussianDensityFunction.h"
00022 #include "itkFunctionBase.h"
00023 #include "itkWeightedCovarianceCalculator.h"
00024 #include "itkSymmetricEigenAnalysis.h"
00025 
00026 namespace itk { 
00027 namespace Statistics {
00028 
00050 template< class TInputSample >
00051 class GaussianGoodnessOfFitComponent 
00052   : public GoodnessOfFitComponentBase< TInputSample > 
00053 {
00054 public:
00056   typedef GaussianGoodnessOfFitComponent             Self;
00057   typedef GoodnessOfFitComponentBase< TInputSample > Superclass;
00058   typedef SmartPointer< Self >                       Pointer;
00059   typedef SmartPointer< const Self >                 ConstPointer;
00060 
00062   itkTypeMacro(GaussianGoodnessOfFitComponent, 
00063                GoodnessOfFitComponentBase);
00064 
00066   itkNewMacro(Self);
00067 
00068   
00070   typedef typename TInputSample::MeasurementType       MeasurementType;
00071   typedef typename TInputSample::MeasurementVectorType MeasurementVectorType;
00072 
00074   typedef typename Superclass::CenterType                CenterType;
00075   typedef typename Superclass::RadiusType                RadiusType;
00076   typedef typename Superclass::MeanType                  MeanType;
00077   typedef typename Superclass::StandardDeviationType     StandardDeviationType;
00078   typedef typename Superclass::ResampledSampleType       ResampledSampleType;
00079   typedef typename Superclass::ProjectionAxisArrayType   ProjectionAxisArrayType;
00080   typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
00081   typedef Array< double >                                ParametersType;
00082 
00085   typedef GaussianDensityFunction< MeasurementVectorType > 
00086   ProbabilityDensityFunctionType;
00087 
00088   typedef typename ProbabilityDensityFunctionType::CovarianceType CovarianceType;
00089 
00093   typedef WeightedCovarianceCalculator< ResampledSampleType > 
00094   CovarianceCalculatorType;
00095 
00097   typedef Array< double > EigenValuesArrayType;
00098   typedef SymmetricEigenAnalysis< ProjectionAxisArrayType, EigenValuesArrayType >
00099                           ProjectionAxisCalculatorType;
00100 
00103   unsigned int GetNumberOfParameters() const
00104   { return (unsigned int)(this->GetMeasurementVectorSize() + 1); }
00105 
00107   void SetParameters(const ParametersType &parameter);
00108 
00110   CenterType* GetCenter();
00111 
00113   RadiusType* GetRadius();
00114 
00116   MeanType* GetMean();
00117 
00119   StandardDeviationType* GetStandardDeviation();
00120 
00122   double GetCumulativeProbability(double x) const;
00123 
00125   double GetProbabilityDensity(MeasurementVectorType &measurements) const;
00126 
00128   void PrintParameters(std::ostream &os) const;
00129 
00132   ParametersType GetFullParameters() const;
00133 
00135   virtual void SetInputSample( const TInputSample* sample );
00136 
00137 protected:
00138   GaussianGoodnessOfFitComponent();
00139   virtual ~GaussianGoodnessOfFitComponent();
00140   virtual void PrintSelf(std::ostream& os, Indent indent) const;
00141 
00143   virtual void CalculateProjectionAxes();
00144 
00145 private:
00146   typename ProbabilityDensityFunctionType::Pointer 
00147                                              m_ProbabilityDensityFunction;
00148   typename CovarianceCalculatorType::Pointer m_CovarianceCalculator;
00149   ProjectionAxisCalculatorType *             m_ProjectionAxisCalculator;
00150 
00151   MeanType              m_Mean;
00152   CenterType            m_Center;
00153   RadiusType            m_Radius;
00154   StandardDeviationType m_StandardDeviation;
00155   CovarianceType        m_Covariance;
00156 
00157   unsigned int m_NumberOfParameters;
00158 
00159   int    m_LongestAxisIndex;
00160   double m_LargestEigenValue;
00161 }; // end of class
00162 
00163 } // end of namespace Statistics 
00164 } // end of namespace itk
00165 
00166 #ifndef ITK_MANUAL_INSTANTIATION
00167 #include "itkGaussianGoodnessOfFitComponent.txx"
00168 #endif
00169 
00170 #endif
00171 

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