Medical Imaging Interaction Toolkit  2025.12.02
Medical Imaging Interaction Toolkit
itkEnhancedHistogramToRunLengthFeaturesFilter.h
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1 /*============================================================================
2 
3 The Medical Imaging Interaction Toolkit (MITK)
4 
5 Copyright (c) German Cancer Research Center (DKFZ)
6 All rights reserved.
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8 Use of this source code is governed by a 3-clause BSD license that can be
9 found in the LICENSE file.
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11 ============================================================================*/
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13 /*=========================================================================
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15 * Copyright Insight Software Consortium
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17 * Licensed under the Apache License, Version 2.0 (the "License");
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30 #ifndef __itkEnhancedHistogramToRunLengthFeaturesFilter_h
31 #define __itkEnhancedHistogramToRunLengthFeaturesFilter_h
32 
33 #include "itkHistogram.h"
34 #include "itkMacro.h"
35 #include "itkProcessObject.h"
36 #include "itkSimpleDataObjectDecorator.h"
37 
38 namespace itk {
39  namespace Statistics {
77  template< typename THistogram >
78  class EnhancedHistogramToRunLengthFeaturesFilter : public ProcessObject
79  {
80  public:
83  typedef ProcessObject Superclass;
86 
88  itkTypeMacro( EnhancedHistogramToRunLengthFeaturesFilter, ProcessObject );
89 
91  itkNewMacro( Self );
92 
93  typedef THistogram HistogramType;
94  typedef typename HistogramType::Pointer HistogramPointer;
95  typedef typename HistogramType::ConstPointer HistogramConstPointer;
96  typedef typename HistogramType::MeasurementType MeasurementType;
97  typedef typename HistogramType::MeasurementVectorType MeasurementVectorType;
98  typedef typename HistogramType::IndexType IndexType;
99  typedef typename HistogramType::
100  TotalAbsoluteFrequencyType FrequencyType;
101 
103  using Superclass::SetInput;
104  void SetInput ( const HistogramType * histogram );
105  const HistogramType * GetInput() const;
106 
108  typedef DataObject::Pointer DataObjectPointer;
109 
111  typedef SimpleDataObjectDecorator<MeasurementType> MeasurementObjectType;
112 
116 
120 
124 
128 
132 
136 
140 
144 
148 
152 
156 
160 
164 
168 
172 
176 
180 
181  itkGetMacro( TotalNumberOfRuns, unsigned long );
182 
183  itkGetConstMacro(NumberOfVoxels, unsigned long);
184  itkSetMacro(NumberOfVoxels, unsigned long);
185 
187  typedef enum
188  {
205  RunEntropy
207 
210 
211  protected:
214  void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE;
215 
217  typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
218  using Superclass::MakeOutput;
220 
221  void GenerateData() ITK_OVERRIDE;
222 
223  private:
224  EnhancedHistogramToRunLengthFeaturesFilter(const Self&); //purposely not implemented
225  void operator=(const Self&); //purposely not implemented
226 
227  unsigned long m_TotalNumberOfRuns;
228  unsigned long m_NumberOfVoxels;
229  };
230  } // end of namespace Statistics
231 } // end of namespace itk
232 
233 #ifndef ITK_MANUAL_INSTANTIATION
234 #include "itkEnhancedHistogramToRunLengthFeaturesFilter.hxx"
235 #endif
236 
237 #endif
This class computes texture feature coefficients from a grey level run-length matrix.
const MeasurementObjectType * GetLowGreyLevelRunEmphasisOutput() const
const MeasurementObjectType * GetRunEntropyOutput() const
const MeasurementObjectType * GetHighGreyLevelRunEmphasisOutput() const
const MeasurementObjectType * GetGreyLevelNonuniformityNormalizedOutput() const
const MeasurementObjectType * GetShortRunEmphasisOutput() const
const MeasurementObjectType * GetShortRunHighGreyLevelEmphasisOutput() const
void PrintSelf(std::ostream &os, Indent indent) const ITK_OVERRIDE
const MeasurementObjectType * GetLongRunHighGreyLevelEmphasisOutput() const
const MeasurementObjectType * GetRunPercentageOutput() const
const MeasurementObjectType * GetRunLengthVarianceOutput() const
const MeasurementObjectType * GetGreyLevelVarianceOutput() const
DataObjectPointer MakeOutput(DataObjectPointerArraySizeType) ITK_OVERRIDE
const MeasurementObjectType * GetLongRunLowGreyLevelEmphasisOutput() const
MeasurementType GetFeature(RunLengthFeatureName name)
const MeasurementObjectType * GetNumberOfRunsOutput() const
const MeasurementObjectType * GetGreyLevelNonuniformityOutput() const
const MeasurementObjectType * GetLongRunEmphasisOutput() const
const MeasurementObjectType * GetRunLengthNonuniformityOutput() const
const MeasurementObjectType * GetShortRunLowGreyLevelEmphasisOutput() const
const MeasurementObjectType * GetRunLengthNonuniformityNormalizedOutput() const