ITK
5.2.0
Insight Toolkit
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#include <itkHistogramToRunLengthFeaturesFilter.h>
Public Types | |
using | ConstPointer = SmartPointer< const Self > |
using | FrequencyType = typename HistogramType::TotalAbsoluteFrequencyType |
using | HistogramConstPointer = typename HistogramType::ConstPointer |
using | HistogramPointer = typename HistogramType::Pointer |
using | HistogramType = THistogram |
using | IndexType = typename HistogramType::IndexType |
using | MeasurementType = typename HistogramType::MeasurementType |
using | MeasurementVectorType = typename HistogramType::MeasurementVectorType |
using | Pointer = SmartPointer< Self > |
using | Self = HistogramToRunLengthFeaturesFilter |
using | Superclass = ProcessObject |
Public Types inherited from itk::ProcessObject | |
using | ConstPointer = SmartPointer< const Self > |
using | DataObjectIdentifierType = DataObject::DataObjectIdentifierType |
using | DataObjectPointer = DataObject::Pointer |
using | DataObjectPointerArray = std::vector< DataObjectPointer > |
using | DataObjectPointerArraySizeType = DataObjectPointerArray::size_type |
using | MultiThreaderType = MultiThreaderBase |
using | NameArray = std::vector< DataObjectIdentifierType > |
using | Pointer = SmartPointer< Self > |
using | Self = ProcessObject |
using | Superclass = Object |
Public Types inherited from itk::Object | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = Object |
using | Superclass = LightObject |
Public Types inherited from itk::LightObject | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = LightObject |
This class computes texture feature coefficients from a grey level run-length matrix.
By default, run length features are computed for each spatial direction and then averaged afterward, so it is possible to access the standard deviations of the texture features. These values give a clue as to texture anisotropy. However, doing this is much more work, because it involved computing one for each offset given. To compute a single matrix using the first offset, call FastCalculationsOn(). If this is called, then the texture standard deviations will not be computed (and will be set to zero), but texture computation will be much faster.
This class is templated over the input histogram type.
Print references: M. M. Galloway. Texture analysis using gray level run lengths. Computer Graphics and Image Processing, 4:172-179, 1975.
A. Chu, C. M. Sehgal, and J. F. Greenleaf. Use of gray value distribution of run lengths for texture analysis. Pattern Recognition Letters, 11:415-420, 1990.
B. R. Dasarathy and E. B. Holder. Image characterizations based on joint gray-level run-length distributions. Pattern Recognition Letters, 12:490-502, 1991.
IJ article: https://www.insight-journal.org/browse/publication/231
Definition at line 101 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::ConstPointer = SmartPointer<const Self> |
Definition at line 110 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::DataObjectPointer = DataObject::Pointer |
Smart Pointer type to a DataObject.
Definition at line 135 of file itkHistogramToRunLengthFeaturesFilter.h.
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protected |
Make a DataObject to be used for output output.
Definition at line 240 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::FrequencyType = typename HistogramType::TotalAbsoluteFrequencyType |
Definition at line 124 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramConstPointer = typename HistogramType::ConstPointer |
Definition at line 120 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramPointer = typename HistogramType::Pointer |
Definition at line 119 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::HistogramType = THistogram |
Definition at line 118 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::IndexType = typename HistogramType::IndexType |
Definition at line 123 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementObjectType = SimpleDataObjectDecorator<MeasurementType> |
Type of DataObjects used for scalar outputs
Definition at line 138 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementType = typename HistogramType::MeasurementType |
Definition at line 121 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::MeasurementVectorType = typename HistogramType::MeasurementVectorType |
Definition at line 122 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Pointer = SmartPointer<Self> |
Definition at line 109 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Self = HistogramToRunLengthFeaturesFilter |
Standard type alias
Definition at line 107 of file itkHistogramToRunLengthFeaturesFilter.h.
using itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::Superclass = ProcessObject |
Definition at line 108 of file itkHistogramToRunLengthFeaturesFilter.h.
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protected |
Smart Pointer type to a DataObject.
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overrideprotecteddefault |
Smart Pointer type to a DataObject.
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virtual |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::Object.
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overrideprotectedvirtual |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetFeature | ( | RunLengthFeatureEnum | feature | ) |
convenience method to access the run length values
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformity | ( | ) | const |
Methods to return the grey level nonuniformity.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetGreyLevelNonuniformityOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetHighGreyLevelRunEmphasis | ( | ) | const |
Methods to return the high grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetHighGreyLevelRunEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
const HistogramType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetInput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunEmphasis | ( | ) | const |
Methods to return the long run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunHighGreyLevelEmphasis | ( | ) | const |
Methods to return the long run high grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunHighGreyLevelEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunLowGreyLevelEmphasis | ( | ) | const |
Methods to return the long run low grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLongRunLowGreyLevelEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLowGreyLevelRunEmphasis | ( | ) | const |
Methods to return the low grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetLowGreyLevelRunEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::ProcessObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformity | ( | ) | const |
Methods to return the run length nonuniformity.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetRunLengthNonuniformityOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunEmphasis | ( | ) | const |
Methods to return the short run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunHighGreyLevelEmphasis | ( | ) | const |
Methods to return the short run high grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunHighGreyLevelEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
MeasurementType itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunLowGreyLevelEmphasis | ( | ) | const |
Methods to return the short run low grey level run emphasis.
const MeasurementObjectType* itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::GetShortRunLowGreyLevelEmphasisOutput | ( | ) | const |
Smart Pointer type to a DataObject.
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virtual |
Smart Pointer type to a DataObject.
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overrideprotectedvirtual |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
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static |
standard New() method support
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overrideprotectedvirtual |
Smart Pointer type to a DataObject.
Reimplemented from itk::ProcessObject.
void itk::Statistics::HistogramToRunLengthFeaturesFilter< THistogram >::SetInput | ( | const HistogramType * | histogram | ) |
Smart Pointer type to a DataObject.
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private |
Smart Pointer type to a DataObject.
Definition at line 248 of file itkHistogramToRunLengthFeaturesFilter.h.