ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | Protected Member Functions | Protected Attributes | List of all members
itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion > Class Template Reference

#include <itkGaussianRandomSpatialNeighborSubsampler.h>

+ Inheritance diagram for itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >:
+ Collaboration diagram for itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >:

Public Types

using Baseclass = typename Superclass::Baseclass
 
using ConstPointer = SmartPointer< const Self >
 
using ImageHelperType = typename Superclass::ImageHelperType
 
using IndexType = typename Superclass::IndexType
 
using InstanceIdentifier = typename Superclass::InstanceIdentifier
 
using InstanceIdentifierHolder = typename Superclass::InstanceIdentifierHolder
 
using MeasurementVectorType = typename Superclass::MeasurementVectorType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename Superclass::RadiusType
 
using RandomGeneratorType = typename Superclass::RandomGeneratorType
 
using RandomIntType = typename Superclass::RandomIntType
 
using RealType = double
 
using RegionType = typename Superclass::RegionType
 
using SampleConstPointer = typename Superclass::SampleConstPointer
 
using SampleType = typename Superclass::SampleType
 
using SearchSizeType = typename Superclass::SearchSizeType
 
using Self = GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >
 
using SizeType = typename Superclass::SizeType
 
using SubsampleConstIterator = typename Superclass::SubsampleConstIterator
 
using SubsamplePointer = typename Superclass::SubsamplePointer
 
using SubsampleType = typename Superclass::SubsampleType
 
using Superclass = UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
 
- Public Types inherited from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
using Baseclass = typename Superclass::Baseclass
 
using ConstPointer = SmartPointer< const Self >
 
using ImageHelperType = typename Superclass::ImageHelperType
 
using IndexType = typename Superclass::IndexType
 
using IndexValueType = typename Superclass::IndexValueType
 
using InstanceIdentifier = typename Superclass::InstanceIdentifier
 
using InstanceIdentifierHolder = typename Superclass::InstanceIdentifierHolder
 
using MeasurementVectorType = typename Superclass::MeasurementVectorType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename Superclass::RadiusType
 
using RandomGeneratorType = Statistics::MersenneTwisterRandomVariateGenerator
 
using RandomIntType = unsigned int
 
using RegionType = typename Superclass::RegionType
 
using SampleConstPointer = typename Superclass::SampleConstPointer
 
using SampleType = typename Superclass::SampleType
 
using SearchSizeType = unsigned long
 
using SeedType = typename Baseclass::SeedType
 
using Self = UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
 
using SizeType = typename Superclass::SizeType
 
using SubsampleConstIterator = typename Superclass::SubsampleConstIterator
 
using SubsamplePointer = typename Superclass::SubsamplePointer
 
using SubsampleType = typename Superclass::SubsampleType
 
using Superclass = SpatialNeighborSubsampler< TSample, TRegion >
 
- Public Types inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
using Baseclass = typename Superclass::Baseclass
 
using ConstPointer = SmartPointer< const Self >
 
using ImageHelperType = ImageHelper< Self::ImageDimension, Self::ImageDimension >
 
using IndexType = typename Superclass::IndexType
 
using IndexValueType = typename Superclass::IndexValueType
 
using InstanceIdentifier = typename Superclass::InstanceIdentifier
 
using InstanceIdentifierHolder = typename Superclass::InstanceIdentifierHolder
 
using MeasurementVectorType = typename Superclass::MeasurementVectorType
 
using Pointer = SmartPointer< Self >
 
using RadiusType = typename RegionType::SizeType
 
using RegionType = typename Superclass::RegionType
 
using SampleConstPointer = typename Superclass::SampleConstPointer
 
using SampleType = typename Superclass::SampleType
 
using Self = SpatialNeighborSubsampler< TSample, TRegion >
 
using SizeType = typename Superclass::SizeType
 
using SubsampleConstIterator = typename Superclass::SubsampleConstIterator
 
using SubsamplePointer = typename Superclass::SubsamplePointer
 
using SubsampleType = typename Superclass::SubsampleType
 
using Superclass = RegionConstrainedSubsampler< TSample, TRegion >
 
- Public Types inherited from itk::Statistics::RegionConstrainedSubsampler< TSample, TRegion >
using Baseclass = typename Superclass::Baseclass
 
using ConstPointer = SmartPointer< const Self >
 
using IndexType = typename RegionType::IndexType
 
using IndexValueType = typename IndexType::IndexValueType
 
using InstanceIdentifier = typename TSample::InstanceIdentifier
 
using InstanceIdentifierHolder = typename SubsampleType::InstanceIdentifierHolder
 
using MeasurementVectorType = typename TSample::MeasurementVectorType
 
using Pointer = SmartPointer< Self >
 
using RegionType = TRegion
 
using SampleConstPointer = typename SampleType::ConstPointer
 
using SampleType = TSample
 
using Self = RegionConstrainedSubsampler< TSample, TRegion >
 
using SizeType = typename RegionType::SizeType
 
using SubsampleConstIterator = typename SubsampleType::ConstIterator
 
using SubsamplePointer = typename SubsampleType::Pointer
 
using SubsampleType = Subsample< TSample >
 
using Superclass = SubsamplerBase< TSample >
 
- Public Types inherited from itk::Statistics::SubsamplerBase< TSample >
using Baseclass = Self
 
using ConstPointer = SmartPointer< const Self >
 
using InstanceIdentifier = typename TSample::InstanceIdentifier
 
using InstanceIdentifierHolder = typename SubsampleType::InstanceIdentifierHolder
 
using MeasurementVectorType = typename TSample::MeasurementVectorType
 
using Pointer = SmartPointer< Self >
 
using SampleConstPointer = typename SampleType::ConstPointer
 
using SampleType = TSample
 
using SeedType = unsigned int
 
using Self = SubsamplerBase
 
using SubsampleConstIterator = typename SubsampleType::ConstIterator
 
using SubsamplePointer = typename SubsampleType::Pointer
 
using SubsampleType = Subsample< TSample >
 
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
 

Public Member Functions

virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
virtual RealType GetVariance () const
 
virtual void SetVariance (RealType _arg)
 
- Public Member Functions inherited from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
virtual ::itk::LightObject::Pointer CreateAnother () const
 
virtual SearchSizeType GetNumberOfResultsRequested () const
 
virtual bool GetUseClockForSeed () const
 
void Search (const InstanceIdentifier &query, SubsamplePointer &results) override
 
virtual void SetNumberOfResultsRequested (const SearchSizeType &numberRequested)
 
void SetSeed (const SeedType seed) override
 
virtual void SetUseClockForSeed (const bool &useClock)
 
virtual void UseClockForSeedOff ()
 
virtual void UseClockForSeedOn ()
 
- Public Member Functions inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
void SetRadius (const RadiusType &radius)
 
void SetRadius (unsigned int radius)
 
virtual const RadiusTypeGetRadius () const
 
virtual const bool & GetRadiusInitialized () const
 
- Public Member Functions inherited from itk::Statistics::RegionConstrainedSubsampler< TSample, TRegion >
virtual const RegionTypeGetRegionConstraint () const
 
virtual const bool & GetRegionConstraintInitialized () const
 
virtual const RegionTypeGetSampleRegion () const
 
virtual const bool & GetSampleRegionInitialized () const
 
void SetRegionConstraint (const RegionType &region)
 
void SetSampleRegion (const RegionType &region)
 
- Public Member Functions inherited from itk::Statistics::SubsamplerBase< TSample >
 itkCloneMacro (Self)
 
virtual void SetSample (const SampleType *_arg)
 
virtual const SampleTypeGetSample () const
 
virtual void SetCanSelectQuery (bool _arg)
 
virtual const bool & GetCanSelectQuery () const
 
virtual void CanSelectQueryOn ()
 
virtual void CanSelectQueryOff ()
 
virtual const SeedTypeGetSeed () const
 
virtual void RequestMaximumNumberOfResults ()
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *)
 
unsigned long AddObserver (const EventObject &event, Command *) const
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () const
 
bool HasObserver (const EventObject &event) const
 
void InvokeEvent (const EventObject &)
 
void InvokeEvent (const EventObject &) const
 
virtual void Modified () const
 
void Register () const override
 
void RemoveAllObservers ()
 
void RemoveObserver (unsigned long tag)
 
void SetDebug (bool debugFlag) const
 
void SetReferenceCount (int) override
 
void UnRegister () const noexcept override
 
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
 
void SetMetaDataDictionary (MetaDataDictionary &&rrhs)
 
virtual void SetObjectName (std::string _arg)
 
virtual const std::string & GetObjectName () const
 
- Public Member Functions inherited from itk::LightObject
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
static Pointer New ()
 
- Static Public Member Functions inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
static Pointer New ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr int DefaultVariance = 900
 
- Static Public Attributes inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
static constexpr unsigned int ImageDimension = RegionType::ImageDimension
 

Protected Member Functions

 GaussianRandomSpatialNeighborSubsampler ()
 
RandomIntType GetIntegerVariate (RandomIntType lowerBound, RandomIntType upperBound, RandomIntType mean) override
 
LightObject::Pointer InternalClone () const override
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 ~GaussianRandomSpatialNeighborSubsampler () override=default
 
- Protected Member Functions inherited from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
virtual RandomIntType GetIntegerVariate (RandomIntType lowerBound, RandomIntType upperBound, RandomIntType)
 
LightObject::Pointer InternalClone () const override
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 UniformRandomSpatialNeighborSubsampler ()
 
 ~UniformRandomSpatialNeighborSubsampler () override=default
 
- Protected Member Functions inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
 SpatialNeighborSubsampler ()
 
 ~SpatialNeighborSubsampler () override=default
 
- Protected Member Functions inherited from itk::Statistics::RegionConstrainedSubsampler< TSample, TRegion >
 RegionConstrainedSubsampler ()
 
 ~RegionConstrainedSubsampler () override=default
 
- Protected Member Functions inherited from itk::Statistics::SubsamplerBase< TSample >
 SubsamplerBase ()
 
 ~SubsamplerBase () override=default
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- Protected Member Functions inherited from itk::LightObject
 LightObject ()
 
virtual void PrintHeader (std::ostream &os, Indent indent) const
 
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 
virtual ~LightObject ()
 

Protected Attributes

RealType m_Variance
 
- Protected Attributes inherited from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >
SearchSizeType m_NumberOfResultsRequested
 
RandomGeneratorType::Pointer m_RandomNumberGenerator
 
bool m_UseClockForSeed
 
- Protected Attributes inherited from itk::Statistics::SpatialNeighborSubsampler< TSample, TRegion >
RadiusType m_Radius
 
bool m_RadiusInitialized
 
- Protected Attributes inherited from itk::Statistics::RegionConstrainedSubsampler< TSample, TRegion >
RegionType m_RegionConstraint
 
bool m_RegionConstraintInitialized
 
RegionType m_SampleRegion
 
bool m_SampleRegionInitialized
 
- Protected Attributes inherited from itk::Statistics::SubsamplerBase< TSample >
SampleConstPointer m_Sample
 
bool m_RequestMaximumNumberOfResults
 
bool m_CanSelectQuery
 
SeedType m_Seed
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TSample, typename TRegion>
class itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >

A subsampler that randomly selects points according to a gaussian distribution within the specified radius of the query point.

This class derives from UniformRandomNeighborSubsampler and overrides the GetIntegerVariate method to randomly select points according to a gaussian distribution within the Radius given by SetRadius(radius) as long as that point is also within the RegionConstraint. Use SetVariance(variance) to provide the variance of the gaussian distribution.

See also
SubsamplerBase, RegionConstrainedSubsampler
SpatialNeighborSubsampler
UniformRandomSpatialNeighborSubsampler

Definition at line 48 of file itkGaussianRandomSpatialNeighborSubsampler.h.

Member Typedef Documentation

◆ Baseclass

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::Baseclass = typename Superclass::Baseclass

Definition at line 57 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ ConstPointer

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::ConstPointer = SmartPointer<const Self>

Definition at line 59 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ ImageHelperType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::ImageHelperType = typename Superclass::ImageHelperType

Definition at line 85 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ IndexType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::IndexType = typename Superclass::IndexType

Definition at line 83 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ InstanceIdentifier

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::InstanceIdentifier = typename Superclass::InstanceIdentifier

Definition at line 71 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ InstanceIdentifierHolder

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::InstanceIdentifierHolder = typename Superclass::InstanceIdentifierHolder

Definition at line 76 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ MeasurementVectorType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::MeasurementVectorType = typename Superclass::MeasurementVectorType

Definition at line 70 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ Pointer

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::Pointer = SmartPointer<Self>

Definition at line 58 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ RadiusType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::RadiusType = typename Superclass::RadiusType

type alias related to image region

Definition at line 81 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ RandomGeneratorType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::RandomGeneratorType = typename Superclass::RandomGeneratorType

Definition at line 89 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ RandomIntType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::RandomIntType = typename Superclass::RandomIntType

Definition at line 79 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ RealType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::RealType = double

Definition at line 87 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ RegionType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::RegionType = typename Superclass::RegionType

Definition at line 82 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SampleConstPointer

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SampleConstPointer = typename Superclass::SampleConstPointer

Definition at line 69 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SampleType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SampleType = typename Superclass::SampleType

type alias alias for the source data container

Definition at line 68 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SearchSizeType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SearchSizeType = typename Superclass::SearchSizeType

Definition at line 78 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ Self

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::Self = GaussianRandomSpatialNeighborSubsampler<TSample, TRegion>

Standard class type aliases

Definition at line 55 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SizeType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SizeType = typename Superclass::SizeType

Definition at line 84 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SubsampleConstIterator

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SubsampleConstIterator = typename Superclass::SubsampleConstIterator

Definition at line 75 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SubsamplePointer

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SubsamplePointer = typename Superclass::SubsamplePointer

Definition at line 74 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ SubsampleType

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SubsampleType = typename Superclass::SubsampleType

Definition at line 73 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ Superclass

template<typename TSample , typename TRegion >
using itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::Superclass = UniformRandomSpatialNeighborSubsampler<TSample, TRegion>

Definition at line 56 of file itkGaussianRandomSpatialNeighborSubsampler.h.

Constructor & Destructor Documentation

◆ GaussianRandomSpatialNeighborSubsampler()

template<typename TSample , typename TRegion >
itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::GaussianRandomSpatialNeighborSubsampler ( )
protected

◆ ~GaussianRandomSpatialNeighborSubsampler()

template<typename TSample , typename TRegion >
itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::~GaussianRandomSpatialNeighborSubsampler ( )
overrideprotecteddefault

Member Function Documentation

◆ CreateAnother()

template<typename TSample , typename TRegion >
virtual::itk::LightObject::Pointer itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::CreateAnother ( ) const
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.

◆ GetIntegerVariate()

template<typename TSample , typename TRegion >
RandomIntType itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::GetIntegerVariate ( RandomIntType  lowerBound,
RandomIntType  upperBound,
RandomIntType  mean 
)
overrideprotected

method to randomly generate an integer in the closed range [0, upperBound] usign a gaussian selection method.

◆ GetNameOfClass()

template<typename TSample , typename TRegion >
virtual const char* itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods)

Reimplemented from itk::Statistics::UniformRandomSpatialNeighborSubsampler< TSample, TRegion >.

◆ GetVariance()

template<typename TSample , typename TRegion >
virtual RealType itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::GetVariance ( ) const
virtual

Get the variance

◆ InternalClone()

template<typename TSample , typename TRegion >
LightObject::Pointer itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::InternalClone ( ) const
overrideprotectedvirtual

Clone the current subsampler. This does a complete copy of the subsampler state to the new subsampler

Reimplemented from itk::LightObject.

◆ New()

template<typename TSample , typename TRegion >
static Pointer itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TSample , typename TRegion >
void itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.

Reimplemented from itk::Object.

◆ SetVariance()

template<typename TSample , typename TRegion >
virtual void itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::SetVariance ( RealType  _arg)
virtual

Set the variance

Member Data Documentation

◆ DefaultVariance

template<typename TSample , typename TRegion >
constexpr int itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::DefaultVariance = 900
staticconstexpr

Default sampling variance

Definition at line 91 of file itkGaussianRandomSpatialNeighborSubsampler.h.

◆ m_Variance

template<typename TSample , typename TRegion >
RealType itk::Statistics::GaussianRandomSpatialNeighborSubsampler< TSample, TRegion >::m_Variance
protected

The documentation for this class was generated from the following file: