Medical Imaging Interaction Toolkit  2026.06.00
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.
10 
11 ============================================================================*/
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13 /*=========================================================================
14 *
15 * Copyright Insight Software Consortium
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17 * Licensed under the Apache License, Version 2.0 (the "License");
18 * you may not use this file except in compliance with 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 {
76  template< typename THistogram >
77  class EnhancedHistogramToRunLengthFeaturesFilter : public ProcessObject
78  {
79  public:
82  typedef ProcessObject Superclass;
85 
87  itkTypeMacro( EnhancedHistogramToRunLengthFeaturesFilter, ProcessObject );
88 
90  itkNewMacro( Self );
91 
92  typedef THistogram HistogramType;
93  typedef typename HistogramType::Pointer HistogramPointer;
94  typedef typename HistogramType::ConstPointer HistogramConstPointer;
95  typedef typename HistogramType::MeasurementType MeasurementType;
96  typedef typename HistogramType::MeasurementVectorType MeasurementVectorType;
97  typedef typename HistogramType::IndexType IndexType;
98  typedef typename HistogramType::
99  TotalAbsoluteFrequencyType FrequencyType;
100 
102  using Superclass::SetInput;
103  void SetInput ( const HistogramType * histogram );
104  const HistogramType * GetInput() const;
105 
107  typedef DataObject::Pointer DataObjectPointer;
108 
110  typedef SimpleDataObjectDecorator<MeasurementType> MeasurementObjectType;
111 
115 
119 
123 
127 
131 
135 
139 
143 
147 
151 
155 
159 
163 
167 
171 
175 
179 
180  itkGetMacro( TotalNumberOfRuns, unsigned long );
181 
182  itkGetConstMacro(NumberOfVoxels, unsigned long);
183  itkSetMacro(NumberOfVoxels, unsigned long);
184 
186  typedef enum
187  {
204  RunEntropy
206 
209 
210  protected:
213  void PrintSelf(std::ostream& os, Indent indent) const ITK_OVERRIDE;
214 
216  typedef ProcessObject::DataObjectPointerArraySizeType DataObjectPointerArraySizeType;
217  using Superclass::MakeOutput;
219 
220  void GenerateData() ITK_OVERRIDE;
221 
222  private:
223  EnhancedHistogramToRunLengthFeaturesFilter(const Self&); //purposely not implemented
224  void operator=(const Self&); //purposely not implemented
225 
226  unsigned long m_TotalNumberOfRuns;
227  unsigned long m_NumberOfVoxels;
228  };
229  } // end of namespace Statistics
230 } // end of namespace itk
231 
232 #ifndef ITK_MANUAL_INSTANTIATION
233 #include <itkEnhancedHistogramToRunLengthFeaturesFilter.tpp>
234 #endif
235 
236 #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