ITK
5.2.0
Insight Toolkit
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#include <itkScalarImageToRunLengthFeaturesFilter.h>
This class computes run length descriptions from an image.
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 image type.
Template Parameters: The image type, and the type of histogram frequency container. If you are using a large number of bins per axis, a sparse frequency container may be advisable. The default is to use a dense frequency container.
Inputs and parameters:
In general, the default parameter values should be sufficient.
Outputs: (1) The average value of each feature. (2) The standard deviation in the values of each feature.
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 96 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::ConstPointer = SmartPointer<const Self> |
Definition at line 103 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::DataObjectPointer = DataObject::Pointer |
Smart Pointer type to a DataObject.
Definition at line 137 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
Definition at line 224 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVector = VectorContainer<unsigned char, RunLengthFeatureName> |
Definition at line 130 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVectorConstPointer = typename FeatureNameVector::ConstPointer |
Definition at line 132 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureNameVectorPointer = typename FeatureNameVector::Pointer |
Definition at line 131 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVector = VectorContainer<unsigned char, double> |
Definition at line 133 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVectorDataObjectType = DataObjectDecorator<FeatureValueVector> |
Type of DataObjects used for scalar outputs
Definition at line 140 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FeatureValueVectorPointer = typename FeatureValueVector::Pointer |
Definition at line 134 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::FrequencyContainerType = THistogramFrequencyContainer |
Definition at line 111 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::HistogramType = typename RunLengthMatrixFilterType::HistogramType |
Definition at line 123 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::ImagePointer = typename ImageType::Pointer |
Definition at line 113 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::ImageType = TImageType |
Definition at line 112 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetType = typename ImageType::OffsetType |
Definition at line 116 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVector = VectorContainer<unsigned char, OffsetType> |
Definition at line 117 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorConstPointer = typename OffsetVector::ConstPointer |
Definition at line 119 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::OffsetVectorPointer = typename OffsetVector::Pointer |
Definition at line 118 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::PixelType = typename ImageType::PixelType |
Definition at line 115 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::Pointer = SmartPointer<Self> |
Definition at line 102 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::RunLengthFeatureName = uint8_t |
Definition at line 129 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::RunLengthFeaturesFilterType = HistogramToRunLengthFeaturesFilter<HistogramType> |
Definition at line 125 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::RunLengthMatrixFilterType = ScalarImageToRunLengthMatrixFilter<ImageType, FrequencyContainerType> |
Definition at line 121 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::Self = ScalarImageToRunLengthFeaturesFilter |
Standard type alias
Definition at line 100 of file itkScalarImageToRunLengthFeaturesFilter.h.
using itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::Superclass = ProcessObject |
Definition at line 101 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
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Make a DataObject to be used for output output.
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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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Make a DataObject to be used for output output.
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Make a DataObject to be used for output output.
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Make a DataObject to be used for output output.
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Make a DataObject to be used for output output.
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This method causes the filter to generate its output.
Reimplemented from itk::ProcessObject.
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Make a DataObject to be used for output output.
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Return the feature means and deviations.
const FeatureValueVectorDataObjectType* itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureMeansOutput | ( | ) | const |
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Make a DataObject to be used for output output.
const FeatureValueVectorDataObjectType* itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetFeatureStandardDeviationsOutput | ( | ) | const |
const ImageType* itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetInput | ( | ) | const |
const ImageType* itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::GetMaskImage | ( | ) | const |
Make a DataObject to be used for output output.
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Run-time type information (and related methods).
Reimplemented from itk::ProcessObject.
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Make a DataObject to be used for output output.
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virtual |
Make a DataObject to be used for output output.
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overrideprotectedvirtual |
Make a DataObject to be used for output output.
Reimplemented from itk::ProcessObject.
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standard New() method support
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overrideprotectedvirtual |
Make a DataObject to be used for output output.
Reimplemented from itk::ProcessObject.
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetDistanceValueMinMax | ( | double | min, |
double | max | ||
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Set the min and max (inclusive) pixel value that will be used for feature calculations. Optional; for default value see above.
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Make a DataObject to be used for output output.
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInput | ( | const ImageType * | ) |
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetInsidePixelValue | ( | PixelType | insidePixelValue | ) |
Set the pixel value of the mask that should be considered "inside" the object. Optional; for default value see above.
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetMaskImage | ( | const ImageType * | ) |
Connects the mask image for which the histogram is going to be computed. Optional; for default value see above.
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetNumberOfBinsPerAxis | ( | unsigned int | ) |
Set number of histogram bins along each axis. Optional; for default value see above.
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Set the offsets over which the co-occurrence pairs will be computed. Optional; for default value see above.
void itk::Statistics::ScalarImageToRunLengthFeaturesFilter< TImageType, THistogramFrequencyContainer >::SetPixelValueMinMax | ( | PixelType | min, |
PixelType | max | ||
) |
Set the min and max (inclusive) pixel value that will be used for feature calculations. Optional; for default value see above.
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Set the desired feature set. Optional, for default value see above.
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Make a DataObject to be used for output output.
Definition at line 235 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
Definition at line 231 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
Definition at line 232 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
Definition at line 234 of file itkScalarImageToRunLengthFeaturesFilter.h.
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private |
Make a DataObject to be used for output output.
Definition at line 233 of file itkScalarImageToRunLengthFeaturesFilter.h.
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Make a DataObject to be used for output output.
Definition at line 229 of file itkScalarImageToRunLengthFeaturesFilter.h.