ITK  4.4.0
Insight Segmentation and Registration Toolkit
itkWeightedMeanSampleFilter.h
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18 #ifndef __itkWeightedMeanSampleFilter_h
19 #define __itkWeightedMeanSampleFilter_h
20 
21 #include "itkMeanSampleFilter.h"
22 #include "itkFunctionBase.h"
23 #include "itkDataObjectDecorator.h"
24 
25 namespace itk
26 {
27 namespace Statistics
28 {
41 template< class TSample >
42 class ITK_EXPORT WeightedMeanSampleFilter : public MeanSampleFilter< TSample >
43 {
44 public:
50 
53  itkNewMacro(Self);
55 
57  typedef typename Superclass::SampleType SampleType;
58  typedef typename Superclass::MeasurementType MeasurementType;
59  typedef typename Superclass::MeasurementVectorType MeasurementVectorType;
60  typedef typename Superclass::MeasurementVectorSizeType MeasurementVectorSizeType;
61  typedef typename Superclass::MeasurementVectorDecoratedType MeasurementVectorDecoratedType;
62  typedef typename Superclass::OutputType OutputType;
63  typedef typename Superclass::MeasurementRealType MeasurementRealType;
64  typedef typename Superclass::MeasurementVectorRealType MeasurementVectorRealType;
65 
68 
71 
73  itkSetGetDecoratedInputMacro(Weights, WeightArrayType);
74 
77 
80 
82  itkSetGetDecoratedObjectInputMacro(WeightingFunction, WeightingFunctionType);
83 
84 protected:
86  virtual ~WeightedMeanSampleFilter();
87  void PrintSelf(std::ostream & os, Indent indent) const;
88 
89  void GenerateData();
90 
91  // compute mean with weight array
92  void ComputeMeanWithWeights();
93 
94  // compute mean using a weighting function
95  void ComputeMeanWithWeightingFunction();
96 
97 private:
98  WeightedMeanSampleFilter(const Self &); //purposely not implemented
99  void operator=(const Self &); //purposely not implemented
100 }; // end of class
101 } // end of namespace Statistics
102 } // end of namespace itk
103 
104 #ifndef ITK_MANUAL_INSTANTIATION
105 #include "itkWeightedMeanSampleFilter.hxx"
106 #endif
107 
108 #endif
109