ITK
5.2.0
Insight Toolkit
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#include <itkVectorThresholdSegmentationLevelSetFunction.h>
Static Public Member Functions | |
static Pointer | New () |
Static Public Member Functions inherited from itk::LevelSetFunction< TImageType > | |
static Pointer | New () |
static void | SetMaximumCurvatureTimeStep (double n) |
static double | GetMaximumCurvatureTimeStep () |
static void | SetMaximumPropagationTimeStep (double n) |
static double | GetMaximumPropagationTimeStep () |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Static Public Attributes | |
static constexpr unsigned int | ImageDimension = Superclass::ImageDimension |
static constexpr unsigned int | NumberOfComponents = FeatureImagePixelType::Dimension |
Static Public Attributes inherited from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType > | |
static constexpr unsigned int | ImageDimension = Superclass::ImageDimension |
Static Public Attributes inherited from itk::LevelSetFunction< TImageType > | |
static constexpr unsigned int | ImageDimension = Superclass::ImageDimension |
Static Public Attributes inherited from itk::FiniteDifferenceFunction< TImageType > | |
static constexpr unsigned int | ImageDimension = ImageType::ImageDimension |
MahalanobisFunctionPointer | m_Mahalanobis |
ScalarValueType | m_Threshold |
void | SetMean (const MeanVectorType &mean) |
const MeanVectorType & | GetMean () const |
void | SetCovariance (const CovarianceMatrixType &cov) |
const CovarianceMatrixType & | GetCovariance () const |
void | SetThreshold (ScalarValueType thr) |
ScalarValueType | GetThreshold () |
void | CalculateSpeedImage () override |
void | Initialize (const RadiusType &r) override |
VectorThresholdSegmentationLevelSetFunction () | |
~VectorThresholdSegmentationLevelSetFunction () override=default | |
void | PrintSelf (std::ostream &os, Indent indent) const override |
This function is used in VectorThresholdSegmentationLevelSetImageFilter to segment structures in images based on the Mahalanobis distance.
Definition at line 58 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ConstPointer = SmartPointer<const Self> |
Definition at line 68 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::CovarianceMatrixType = typename MahalanobisFunctionType::CovarianceMatrixType |
Definition at line 93 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImagePixelType = typename FeatureImageType::PixelType |
Extract the number of components in the vector pixel type .
Definition at line 87 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureImageType = TFeatureImageType |
Definition at line 69 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::FeatureScalarType = typename Superclass::FeatureScalarType |
Definition at line 80 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ImageType = typename Superclass::ImageType |
Extract some parameters from the superclass.
Definition at line 78 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionPointer = typename MahalanobisFunctionType::Pointer |
Definition at line 91 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MahalanobisFunctionType = Statistics::MahalanobisDistanceMembershipFunction<FeatureScalarType> |
Definition at line 90 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::MeanVectorType = typename MahalanobisFunctionType::MeanVectorType |
Definition at line 92 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Pointer = SmartPointer<Self> |
Definition at line 67 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::RadiusType = typename Superclass::RadiusType |
Definition at line 81 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::ScalarValueType = typename Superclass::ScalarValueType |
Definition at line 79 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Self = VectorThresholdSegmentationLevelSetFunction |
Standard class type aliases.
Definition at line 65 of file itkVectorThresholdSegmentationLevelSetFunction.h.
using itk::VectorThresholdSegmentationLevelSetFunction< TImageType, TFeatureImageType >::Superclass = SegmentationLevelSetFunction<TImageType, TFeatureImageType> |
Definition at line 66 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inlineprotected |
Set/Get mean and covariance
Definition at line 146 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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overrideprotecteddefault |
Set/Get mean and covariance
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overridevirtual |
Set/Get mean and covariance
Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.
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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::LevelSetFunction< TImageType >.
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inline |
Set/Get mean and covariance
Definition at line 114 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inline |
Set/Get mean and covariance
Definition at line 102 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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virtual |
Run-time type information (and related methods)
Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.
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inline |
Set/Get mean and covariance
Definition at line 127 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inlineoverridevirtual |
Set/Get mean and covariance
Reimplemented from itk::SegmentationLevelSetFunction< TImageType, TFeatureImageType >.
Definition at line 136 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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static |
Method for creation through the object factory.
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inlineoverrideprotectedvirtual |
Set/Get mean and covariance
Reimplemented from itk::LevelSetFunction< TImageType >.
Definition at line 166 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inline |
Set/Get mean and covariance
Definition at line 109 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inline |
Set/Get mean and covariance
Definition at line 97 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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inline |
Set/Get the threshold value for the MahanalobisDistance
Definition at line 121 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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staticconstexpr |
Extract some parameters from the superclass.
Definition at line 84 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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protected |
Set/Get mean and covariance
Definition at line 173 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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protected |
Set/Get mean and covariance
Definition at line 174 of file itkVectorThresholdSegmentationLevelSetFunction.h.
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staticconstexpr |
Definition at line 88 of file itkVectorThresholdSegmentationLevelSetFunction.h.