ITK  4.2.0
Insight Segmentation and Registration Toolkit
itkWeightedCovarianceSampleFilter.h
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5  * Licensed under the Apache License, Version 2.0 (the "License");
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18 #ifndef __itkWeightedCovarianceSampleFilter_h
19 #define __itkWeightedCovarianceSampleFilter_h
20 
21 #include "itkFunctionBase.h"
23 #include "itkDataObjectDecorator.h"
24 
25 namespace itk
26 {
27 namespace Statistics
28 {
42 template< class TSample >
44  public CovarianceSampleFilter< TSample >
45 {
46 public:
52 
55  itkNewMacro(Self);
57 
59  typedef typename Superclass::SampleType SampleType;
60  typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
61  typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
62  typedef typename Superclass::MeasurementVectorDecoratedType MeasurementVectorDecoratedType;
63  typedef typename Superclass::OutputType OutputType;
64  typedef typename Superclass::MeasurementRealType MeasurementRealType;
65  typedef typename Superclass::MeasurementVectorRealType MeasurementVectorRealType;
66 
69 
72 
76 
79 
82 
84  itkSetGetDecoratedInputMacro(Weights, WeightArrayType);
85 
88 
90  itkSetGetDecoratedObjectInputMacro(WeightingFunction, WeightingFunctionType);
91 
92 protected:
95  void PrintSelf(std::ostream & os, Indent indent) const;
96 
97  void GenerateData();
98 
100  void ComputeCovarianceMatrixWithWeightingFunction();
101 
103  void ComputeCovarianceMatrixWithWeights();
104 
105 private:
106  WeightedCovarianceSampleFilter(const Self &); //purposely not implemented
107  void operator=(const Self &); //purposely not implemented
108 
109 }; // end of class
110 } // end of namespace Statistics
111 } // end of namespace itk
112 
113 #ifndef ITK_MANUAL_INSTANTIATION
114 #include "itkWeightedCovarianceSampleFilter.hxx"
115 #endif
116 
117 #endif
118