itk::Statistics Namespace Reference

Namespaces
	Algorithm

Classes
class	ChiSquareDistribution
class	CovarianceSampleFilter
class	DecisionRule
class	DenseFrequencyContainer2
class	DistanceMetric
class	DistanceToCentroidMembershipFunction
class	EuclideanDistanceMetric
class	EuclideanSquareDistanceMetric
class	ExpectationMaximizationMixtureModelEstimator
class	ExpectationMaximizationMixtureModelEstimatorEnums
class	GaussianDistribution
class	GaussianMembershipFunction
class	GaussianMixtureModelComponent
class	GaussianRandomSpatialNeighborSubsampler
class	Histogram
class	HistogramToRunLengthFeaturesFilter
class	HistogramToRunLengthFeaturesFilterEnums
class	HistogramToTextureFeaturesFilter
class	HistogramToTextureFeaturesFilterEnums
class	ImageClassifierFilter
class	ImageJointDomainTraits
class	ImageToHistogramFilter
class	ImageToListSampleAdaptor
class	ImageToListSampleFilter
class	ImageToNeighborhoodSampleAdaptor
class	JointDomainImageToListSampleAdaptor
class	KdTree
class	KdTreeBasedKmeansEstimator
class	KdTreeGenerator
class	KdTreeNode
class	KdTreeNonterminalNode
class	KdTreeTerminalNode
class	KdTreeWeightedCentroidNonterminalNode
class	ListSample
class	MahalanobisDistanceMembershipFunction
class	MahalanobisDistanceMetric
class	ManhattanDistanceMetric
class	MaskedImageToHistogramFilter
class	MaximumDecisionRule
class	MaximumRatioDecisionRule
class	MeanSampleFilter
class	MeasurementVectorPixelTraits
class	MeasurementVectorTraits
class	MeasurementVectorTraitsTypes
class	MeasurementVectorTraitsTypes< std::vector< T > >
class	MembershipFunctionBase
class	MembershipSample
class	MersenneTwisterRandomVariateGenerator
class	MinimumDecisionRule
class	MixtureModelComponentBase
class	NeighborhoodSampler
class	NormalVariateGenerator
class	PointSetToListSampleAdaptor
class	ProbabilityDistribution
class	RandomVariateGeneratorBase
class	RegionConstrainedSubsampler
class	Sample
class	SampleClassifierFilter
class	SampleToHistogramFilter
class	SampleToSubsampleFilter
class	ScalarImageToCooccurrenceListSampleFilter
class	ScalarImageToCooccurrenceMatrixFilter
class	ScalarImageToHistogramGenerator
class	ScalarImageToRunLengthFeaturesFilter
class	ScalarImageToRunLengthMatrixFilter
class	ScalarImageToTextureFeaturesFilter
class	SparseFrequencyContainer2
class	SpatialNeighborSubsampler
class	StandardDeviationPerComponentSampleFilter
class	Subsample
class	SubsamplerBase
class	TDistribution
class	UniformRandomSpatialNeighborSubsampler
class	VectorContainerToListSampleAdaptor
class	WeightedCentroidKdTreeGenerator
class	WeightedCovarianceSampleFilter
class	WeightedMeanSampleFilter

Typedefs
using	RunLengthFeatureEnum = HistogramToRunLengthFeaturesFilterEnums::RunLengthFeature

Functions
ITKStatistics_EXPORT std::ostream &	operator<< (std::ostream &out, const ExpectationMaximizationMixtureModelEstimatorEnums::TERMINATION_CODE value)
ITKStatistics_EXPORT std::ostream &	operator<< (std::ostream &out, const HistogramToRunLengthFeaturesFilterEnums::RunLengthFeature value)
ITKStatistics_EXPORT std::ostream &	operator<< (std::ostream &out, const HistogramToTextureFeaturesFilterEnums::TextureFeature value)

Typedef Documentation

RunLengthFeatureEnum

using itk::Statistics::RunLengthFeatureEnum = typedef HistogramToRunLengthFeaturesFilterEnums::RunLengthFeature

Definition at line 57 of file itkHistogramToRunLengthFeaturesFilter.h.

Function Documentation

operator<<() [1/3]

ITKStatistics_EXPORT std::ostream& itk::Statistics::operator<<	(	std::ostream &	out,
		const ExpectationMaximizationMixtureModelEstimatorEnums::TERMINATION_CODE	value
	)

operator<<() [2/3]

ITKStatistics_EXPORT std::ostream& itk::Statistics::operator<<	(	std::ostream &	out,
		const HistogramToRunLengthFeaturesFilterEnums::RunLengthFeature	value
	)

operator<<() [3/3]

ITKStatistics_EXPORT std::ostream& itk::Statistics::operator<<	(	std::ostream &	out,
		const HistogramToTextureFeaturesFilterEnums::TextureFeature	value
	)