ITK  4.9.0
Insight Segmentation and Registration Toolkit
itkScalarImageToRunLengthFeaturesFilter.h
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18 #ifndef itkScalarImageToRunLengthFeaturesFilter_h
19 #define itkScalarImageToRunLengthFeaturesFilter_h
20 
21 #include "itkDataObjectDecorator.h"
22 
25 
26 namespace itk
27 {
28 namespace Statistics
29 {
94 template< typename TImageType,
95  typename THistogramFrequencyContainer = DenseFrequencyContainer2 >
97 {
98 public:
104 
107 
109  itkNewMacro(Self);
110 
111  typedef THistogramFrequencyContainer FrequencyContainerType;
112  typedef TImageType ImageType;
113  typedef typename ImageType::Pointer ImagePointer;
114 
115  typedef typename ImageType::PixelType PixelType;
116  typedef typename ImageType::OffsetType OffsetType;
120 
123 
126 
129 
130  typedef short RunLengthFeatureName;
131  typedef VectorContainer<unsigned char,
137 
140 
144 
146 
148  const;
149 
152  using Superclass::SetInput;
153  void SetInput(const ImageType *);
154 
155  const ImageType * GetInput() const;
156 
158  itkGetConstReferenceObjectMacro(FeatureMeans, FeatureValueVector);
159  itkGetConstReferenceObjectMacro(FeatureStandardDeviations, FeatureValueVector);
161 
163  itkSetConstObjectMacro(RequestedFeatures, FeatureNameVector);
164  itkGetConstObjectMacro(RequestedFeatures, FeatureNameVector);
166 
169  itkSetConstObjectMacro(Offsets, OffsetVector);
170  itkGetConstObjectMacro(Offsets, OffsetVector);
172 
175  void SetNumberOfBinsPerAxis(unsigned int);
176 
179  void SetPixelValueMinMax(PixelType min, PixelType max);
181 
184  void SetDistanceValueMinMax( double min, double max );
186 
189  void SetMaskImage(const ImageType *);
190 
191  const ImageType * GetMaskImage() const;
192 
195  void SetInsidePixelValue(PixelType InsidePixelValue);
196 
197  itkGetConstMacro(FastCalculations, bool);
198  itkSetMacro(FastCalculations, bool);
199  itkBooleanMacro(FastCalculations);
200 
201 protected:
204  virtual void PrintSelf( std::ostream & os, Indent indent ) const ITK_OVERRIDE;
205 
206  void FastCompute();
207 
208  void FullCompute();
209 
211  virtual void GenerateData() ITK_OVERRIDE;
212 
215  using Superclass::MakeOutput;
216  virtual DataObjectPointer MakeOutput(DataObjectPointerArraySizeType) ITK_OVERRIDE;
217 
218 private:
220 
226 };
227 } // end of namespace Statistics
228 } // end of namespace itk
229 
230 #ifndef ITK_MANUAL_INSTANTIATION
231 #include "itkScalarImageToRunLengthFeaturesFilter.hxx"
232 #endif
233 
234 #endif
Light weight base class for most itk classes.
This class computes texture feature coefficients from a grey level run-length matrix.
const FeatureValueVectorDataObjectType * GetFeatureStandardDeviationsOutput() const
ScalarImageToRunLengthMatrixFilter< ImageType, FrequencyContainerType > RunLengthMatrixFilterType
This class stores measurement vectors in the context of n-dimensional histogram.
Definition: itkHistogram.h:77
The base class for all process objects (source, filters, mappers) in the Insight data processing pipe...
const FeatureValueVectorDataObjectType * GetFeatureMeansOutput() const
HistogramToRunLengthFeaturesFilter< HistogramType > RunLengthFeaturesFilterType
virtual DataObjectPointer MakeOutput(DataObjectPointerArraySizeType) override
Make a DataObject of the correct type to used as the specified output.
This class computes a run length matrix (histogram) from a given image and a mask image if provided...
void SetPixelValueMinMax(PixelType min, PixelType max)
DataObjectPointerArray::size_type DataObjectPointerArraySizeType
Decorates any subclass of itkObject with a DataObject API.
virtual void SetInput(const DataObjectIdentifierType &key, DataObject *input)
Protected method for setting indexed and named inputs.
VectorContainer< unsigned char, RunLengthFeatureName > FeatureNameVector
virtual void PrintSelf(std::ostream &os, Indent indent) const override
Define a front-end to the STL &quot;vector&quot; container that conforms to the IndexedContainerInterface.
void SetInsidePixelValue(PixelType InsidePixelValue)
Control indentation during Print() invocation.
Definition: itkIndent.h:49
This class computes run length descriptions from an image.