itk::Statistics::KdTree< TSample > Class Template Reference

This class provides methods for k-nearest neighbor search and related data structures for a k-d tree. More...

#include <itkKdTree.h>

Inheritance diagram for itk::Statistics::KdTree< TSample >:

Collaboration diagram for itk::Statistics::KdTree< TSample >:

List of all members.

Classes
class	NearestNeighbors
	data structure for storing k-nearest neighbor search result (k number of Neighbors) More...
Public Types
typedef TSample::AbsoluteFrequencyType	AbsoluteFrequencyType
typedef TSample::ConstIterator	ConstIterator
typedef TSample::ConstIterator	ConstIterator
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< const Self >	ConstPointer
typedef EuclideanDistance < MeasurementVectorType >	DistanceMetricType
typedef EuclideanDistanceMetric < MeasurementVectorType >	DistanceMetricType
typedef TSample::FrequencyType	FrequencyType
typedef TSample::InstanceIdentifier	InstanceIdentifier
typedef TSample::InstanceIdentifier	InstanceIdentifier
typedef std::vector < InstanceIdentifier >	InstanceIdentifierVectorType
typedef std::vector < InstanceIdentifier >	InstanceIdentifierVectorType
typedef TSample::Iterator	Iterator
typedef TSample::Iterator	Iterator
typedef KdTreeNode< TSample >	KdTreeNodeType
typedef KdTreeNode< TSample >	KdTreeNodeType
typedef TSample::MeasurementType	MeasurementType
typedef TSample::MeasurementType	MeasurementType
typedef unsigned int	MeasurementVectorSizeType
typedef unsigned int	MeasurementVectorSizeType
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef std::pair < InstanceIdentifier, double >	NeighborType
typedef std::pair < InstanceIdentifier, double >	NeighborType
typedef SmartPointer< Self >	Pointer
typedef SmartPointer< Self >	Pointer
typedef TSample	SampleType
typedef TSample	SampleType
typedef KdTree	Self
typedef KdTree	Self
typedef Object	Superclass
typedef Object	Superclass
Public Member Functions
bool	BallWithinBounds (const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound, double radius) const
bool	BallWithinBounds (const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound, double radius) const
Iterator	Begin ()
Iterator	Begin ()
ConstIterator	Begin () const
ConstIterator	Begin () const
bool	BoundsOverlapBall (const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound, double radius) const
bool	BoundsOverlapBall (const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound, double radius) const
virtual LightObject::Pointer	CreateAnother () const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
void	DeleteNode (KdTreeNodeType *node)
void	DeleteNode (KdTreeNodeType *node)
Iterator	End ()
Iterator	End ()
ConstIterator	End () const
ConstIterator	End () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
DistanceMetricType *	GetDistanceMetric ()
DistanceMetricType *	GetDistanceMetric ()
KdTreeNodeType *	GetEmptyTerminalNode ()
KdTreeNodeType *	GetEmptyTerminalNode ()
AbsoluteFrequencyType	GetFrequency (InstanceIdentifier id) const
FrequencyType	GetFrequency (InstanceIdentifier id) const
const MeasurementVectorType &	GetMeasurementVector (InstanceIdentifier id) const
const MeasurementVectorType &	GetMeasurementVector (InstanceIdentifier id) const
virtual MeasurementVectorSizeType	GetMeasurementVectorSize () const
virtual MeasurementVectorSizeType	GetMeasurementVectorSize () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
virtual const char *	GetNameOfClass () const
int	GetNumberOfVisits () const
int	GetNumberOfVisits () const
virtual int	GetReferenceCount () const
KdTreeNodeType *	GetRoot ()
KdTreeNodeType *	GetRoot ()
const TSample *	GetSample () const
const TSample *	GetSample () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
virtual void	Modified () const
void	PlotTree (std::ostream &os) const
void	PlotTree (KdTreeNodeType *node, std::ostream &os=std::cout) const
void	PlotTree (std::ostream &os) const
void	PlotTree (KdTreeNodeType *node, std::ostream &os=std::cout) const
void	Print (std::ostream &os, Indent indent=0) const
void	PrintTree (std::ostream &os) const
void	PrintTree (KdTreeNodeType *node, unsigned int level, unsigned int activeDimension, std::ostream &os=std::cout) const
void	PrintTree (std::ostream &os) const
void	PrintTree (KdTreeNodeType *node, unsigned int level, unsigned int activeDimension, std::ostream &os=std::cout) const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	Search (const MeasurementVectorType &query, double radius, InstanceIdentifierVectorType &result) const
void	Search (const MeasurementVectorType &query, unsigned int numberOfNeighborsRequested, InstanceIdentifierVectorType &result) const
void	Search (const MeasurementVectorType &query, double radius, InstanceIdentifierVectorType &result) const
void	Search (const MeasurementVectorType &query, unsigned int numberOfNeighborsRequested, InstanceIdentifierVectorType &result) const
void	SetBucketSize (unsigned int size)
void	SetBucketSize (unsigned int size)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
void	SetSample (const TSample *sample)
void	SetSample (const TSample *sample)
unsigned long	Size () const
unsigned long	Size () const
virtual void	UnRegister () const
void	SetRoot (KdTreeNodeType *root)
void	SetRoot (KdTreeNodeType *root)
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOn ()
static void	GlobalWarningDisplayOff ()
Protected Types
typedef int	InternalReferenceCountType
Protected Member Functions
	KdTree ()
	KdTree ()
int	NearestNeighborSearchLoop (const KdTreeNodeType *node, const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const
int	NearestNeighborSearchLoop (const KdTreeNodeType *node, const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~KdTree ()
virtual	~KdTree ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Protected Attributes
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
int	SearchLoop (const KdTreeNodeType *node, const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const
int	SearchLoop (const KdTreeNodeType *node, const MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const

---

Detailed Description

template<class TSample>
class itk::Statistics::KdTree< TSample >

This class provides methods for k-nearest neighbor search and related data structures for a k-d tree.

An object of this class stores instance identifiers in a k-d tree that is a binary tree with childrens split along a dimension among k-dimensions. The dimension of the split (or partition) is determined for each nonterminal node that has two children. The split process is terminated when the node has no children (when the number of measurement vectors is less than or equal to the size set by the SetBucketSize. That is The split process is a recursive process in nature and in implementation. This implementation doesn't support dynamic insert and delete operations for the tree. Instead, we can use the KdTreeGenerator or WeightedCentroidKdTreeGenerator to generate a static KdTree object.

To search k-nearest neighbor, call the Search method with the query point in a k-d space and the number of nearest neighbors. The GetSearchResult method returns a pointer to a NearestNeighbors object with k-nearest neighbors.

Recent API changes: The static const macro to get the length of a measurement vector, 'MeasurementVectorSize' has been removed to allow the length of a measurement vector to be specified at run time. Please use the function GetMeasurementVectorSize() instead.

See also:

KdTreeNode, KdTreeNonterminalNode, KdTreeWeightedCentroidNonterminalNode, KdTreeTerminalNode, KdTreeGenerator, WeightedCentroidKdTreeNode

Definition at line 375 of file Numerics/Statistics/itkKdTree.h.

---

Member Typedef Documentation

template<class TSample >

typedef TSample::AbsoluteFrequencyType itk::Statistics::KdTree< TSample >::AbsoluteFrequencyType

Definition at line 446 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::ConstIterator itk::Statistics::KdTree< TSample >::ConstIterator

Definition at line 673 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::ConstIterator itk::Statistics::KdTree< TSample >::ConstIterator

Definition at line 599 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef SmartPointer<const Self> itk::Statistics::KdTree< TSample >::ConstPointer

Reimplemented from itk::Object.

Definition at line 382 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef SmartPointer<const Self> itk::Statistics::KdTree< TSample >::ConstPointer

Reimplemented from itk::Object.

Definition at line 433 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef EuclideanDistance< MeasurementVectorType > itk::Statistics::KdTree< TSample >::DistanceMetricType

DistanceMetric type for the distance calculation and comparison

Definition at line 401 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef EuclideanDistanceMetric< MeasurementVectorType > itk::Statistics::KdTree< TSample >::DistanceMetricType

DistanceMetric type for the distance calculation and comparison

Definition at line 452 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::FrequencyType itk::Statistics::KdTree< TSample >::FrequencyType

Definition at line 395 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::InstanceIdentifier itk::Statistics::KdTree< TSample >::InstanceIdentifier

Definition at line 394 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::InstanceIdentifier itk::Statistics::KdTree< TSample >::InstanceIdentifier

Definition at line 445 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef std::vector< InstanceIdentifier > itk::Statistics::KdTree< TSample >::InstanceIdentifierVectorType

Definition at line 414 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef std::vector< InstanceIdentifier > itk::Statistics::KdTree< TSample >::InstanceIdentifierVectorType

Definition at line 465 of file Review/Statistics/itkKdTree.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

Define the type of the reference count according to the target. This allows the use of atomic operations

Definition at line 139 of file itkLightObject.h.

template<class TSample >

typedef TSample::Iterator itk::Statistics::KdTree< TSample >::Iterator

Definition at line 672 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::Iterator itk::Statistics::KdTree< TSample >::Iterator

Definition at line 598 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef KdTreeNode< TSample > itk::Statistics::KdTree< TSample >::KdTreeNodeType

Node type of the KdTree

Definition at line 407 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef KdTreeNode< TSample > itk::Statistics::KdTree< TSample >::KdTreeNodeType

Node type of the KdTree

Definition at line 458 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::MeasurementType itk::Statistics::KdTree< TSample >::MeasurementType

Definition at line 444 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::MeasurementType itk::Statistics::KdTree< TSample >::MeasurementType

Definition at line 393 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef unsigned int itk::Statistics::KdTree< TSample >::MeasurementVectorSizeType

Definition at line 448 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef unsigned int itk::Statistics::KdTree< TSample >::MeasurementVectorSizeType

Definition at line 397 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::MeasurementVectorType itk::Statistics::KdTree< TSample >::MeasurementVectorType

Definition at line 443 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample::MeasurementVectorType itk::Statistics::KdTree< TSample >::MeasurementVectorType

Definition at line 392 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef std::pair< InstanceIdentifier, double > itk::Statistics::KdTree< TSample >::NeighborType

Neighbor type. The first element of the std::pair is the instance identifier and the second one is the distance between the measurement vector identified by the first element and the query point.

Definition at line 412 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef std::pair< InstanceIdentifier, double > itk::Statistics::KdTree< TSample >::NeighborType

Neighbor type. The first element of the std::pair is the instance identifier and the second one is the distance between the measurement vector identified by the first element and the query point.

Definition at line 463 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef SmartPointer<Self> itk::Statistics::KdTree< TSample >::Pointer

Reimplemented from itk::Object.

Definition at line 381 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef SmartPointer<Self> itk::Statistics::KdTree< TSample >::Pointer

Reimplemented from itk::Object.

Definition at line 432 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample itk::Statistics::KdTree< TSample >::SampleType

typedef alias for the source data container

Definition at line 439 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef TSample itk::Statistics::KdTree< TSample >::SampleType

typedef alias for the source data container

Definition at line 388 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef KdTree itk::Statistics::KdTree< TSample >::Self

Standard class typedefs

Reimplemented from itk::Object.

Definition at line 430 of file Review/Statistics/itkKdTree.h.

template<class TSample >

typedef KdTree itk::Statistics::KdTree< TSample >::Self

Standard class typedefs

Reimplemented from itk::Object.

Definition at line 379 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef Object itk::Statistics::KdTree< TSample >::Superclass

Reimplemented from itk::Object.

Definition at line 380 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

typedef Object itk::Statistics::KdTree< TSample >::Superclass

Reimplemented from itk::Object.

Definition at line 431 of file Review/Statistics/itkKdTree.h.

---

Constructor & Destructor Documentation

template<class TSample >

itk::Statistics::KdTree< TSample >::KdTree

(

)

[protected]

Constructor

template<class TSample >

virtual itk::Statistics::KdTree< TSample >::~KdTree

(

)

[protected, virtual]

Destructor: deletes the root node and the empty terminal node.

template<class TSample >

itk::Statistics::KdTree< TSample >::KdTree

(

)

[protected]

Constructor

template<class TSample >

virtual itk::Statistics::KdTree< TSample >::~KdTree

(

)

[protected, virtual]

Destructor: deletes the root node and the empty terminal node.

---

Member Function Documentation

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *
	)			[inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *
	)			const [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

template<class TSample >

bool itk::Statistics::KdTree< TSample >::BallWithinBounds	(	const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound,
		double	radius
	)			const

Returns true if the intermediate k-nearest neighbors exist within the the bounding box defined by the lowerBound and the upperBound. Otherwise returns false. Returns false if the ball defined by the distance between the query point and the farthest neighbor touch the surface of the bounding box.

template<class TSample >

bool itk::Statistics::KdTree< TSample >::BallWithinBounds	(	const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound,
		double	radius
	)			const

Returns true if the intermediate k-nearest neighbors exist within the the bounding box defined by the lowerBound and the upperBound. Otherwise returns false. Returns false if the ball defined by the distance between the query point and the farthest neighbor touch the surface of the bounding box.

template<class TSample >

Iterator itk::Statistics::KdTree< TSample >::Begin

(

void

)

[inline]

Definition at line 601 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

ConstIterator itk::Statistics::KdTree< TSample >::Begin

(

void

)

const [inline]

Definition at line 613 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

Iterator itk::Statistics::KdTree< TSample >::Begin

(

void

)

[inline]

Definition at line 675 of file Review/Statistics/itkKdTree.h.

template<class TSample >

ConstIterator itk::Statistics::KdTree< TSample >::Begin

(

void

)

const [inline]

Definition at line 687 of file Review/Statistics/itkKdTree.h.

template<class TSample >

bool itk::Statistics::KdTree< TSample >::BoundsOverlapBall	(	const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound,
		double	radius
	)			const

Returns true if the ball defined by the distance between the query point and the farthest neighbor overlaps with the bounding box defined by the lower and the upper bounds.

template<class TSample >

bool itk::Statistics::KdTree< TSample >::BoundsOverlapBall	(	const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound,
		double	radius
	)			const

Returns true if the ball defined by the distance between the query point and the farthest neighbor overlaps with the bounding box defined by the lower and the upper bounds.

static void itk::LightObject::BreakOnError

(

)

[static, inherited]

This method is called when itkExceptionMacro executes. It allows the debugger to break on error.

virtual LightObject::Pointer itk::Object::CreateAnother

(

)

const [virtual, inherited]

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::LightObject.

Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.

virtual void itk::Object::DebugOff

(

)

const [virtual, inherited]

Turn debugging output off.

virtual void itk::Object::DebugOn

(

)

const [virtual, inherited]

Turn debugging output on.

virtual void itk::LightObject::Delete

(

)

[virtual, inherited]

Delete an itk object. This method should always be used to delete an object when the new operator was used to create it. Using the C delete method will not work with reference counting.

template<class TSample >

void itk::Statistics::KdTree< TSample >::DeleteNode

(

KdTreeNodeType *

node

)

Deletes the node recursively

template<class TSample >

void itk::Statistics::KdTree< TSample >::DeleteNode

(

KdTreeNodeType *

node

)

Deletes the node recursively

template<class TSample >

Iterator itk::Statistics::KdTree< TSample >::End

(

void

)

[inline]

Definition at line 607 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

ConstIterator itk::Statistics::KdTree< TSample >::End

(

void

)

const [inline]

Definition at line 619 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

Iterator itk::Statistics::KdTree< TSample >::End

(

void

)

[inline]

Definition at line 681 of file Review/Statistics/itkKdTree.h.

template<class TSample >

ConstIterator itk::Statistics::KdTree< TSample >::End

(

void

)

const [inline]

Definition at line 693 of file Review/Statistics/itkKdTree.h.

Command* itk::Object::GetCommand

(

unsigned long

tag

)

[inherited]

Get the command associated with the given tag. NOTE: This returns a pointer to a Command, but it is safe to asign this to a Command::Pointer. Since Command inherits from LightObject, at this point in the code, only a pointer or a reference to the Command can be used.

bool itk::Object::GetDebug

(

)

const [inherited]

Get the value of the debug flag.

template<class TSample >

DistanceMetricType* itk::Statistics::KdTree< TSample >::GetDistanceMetric

(

)

[inline]

Get the pointer to the distance metric.

Definition at line 543 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

DistanceMetricType* itk::Statistics::KdTree< TSample >::GetDistanceMetric

(

)

[inline]

Get the pointer to the distance metric.

Definition at line 613 of file Review/Statistics/itkKdTree.h.

template<class TSample >

KdTreeNodeType* itk::Statistics::KdTree< TSample >::GetEmptyTerminalNode

(

)

[inline]

Returns the pointer to the empty terminal node. A KdTree object has a single empty terminal node in memory. when the split process has to create an empty terminal node, the single instance is reused for this case

Definition at line 575 of file Review/Statistics/itkKdTree.h.

template<class TSample >

KdTreeNodeType* itk::Statistics::KdTree< TSample >::GetEmptyTerminalNode

(

)

[inline]

Returns the pointer to the empty terminal node. A KdTree object has a single empty terminal node in memory. when the split process has to create an empty terminal node, the single instance is reused for this case

Definition at line 513 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

AbsoluteFrequencyType itk::Statistics::KdTree< TSample >::GetFrequency

(

InstanceIdentifier

id

)

const [inline]

Returns the frequency of the measurement vector identified by the instance identifier

Definition at line 607 of file Review/Statistics/itkKdTree.h.

template<class TSample >

FrequencyType itk::Statistics::KdTree< TSample >::GetFrequency

(

InstanceIdentifier

id

)

const [inline]

Returns the frequency of the measurement vector identified by the instance identifier

Definition at line 539 of file Numerics/Statistics/itkKdTree.h.

static bool itk::Object::GetGlobalWarningDisplay

(

)

[static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

template<class TSample >

const MeasurementVectorType& itk::Statistics::KdTree< TSample >::GetMeasurementVector

(

InstanceIdentifier

id

)

const [inline]

Returns the measurement vector identified by the instance identifier that is an identifier defiend for the input sample

Definition at line 534 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

const MeasurementVectorType& itk::Statistics::KdTree< TSample >::GetMeasurementVector

(

InstanceIdentifier

id

)

const [inline]

Returns the measurement vector identified by the instance identifier that is an identifier defiend for the input sample

Definition at line 600 of file Review/Statistics/itkKdTree.h.

template<class TSample >

virtual MeasurementVectorSizeType itk::Statistics::KdTree< TSample >::GetMeasurementVectorSize

(

)

const [virtual]

Get Macro to get the length of a measurement vector in the KdTree. The length is obtained from the input sample.

template<class TSample >

virtual MeasurementVectorSizeType itk::Statistics::KdTree< TSample >::GetMeasurementVectorSize

(

)

const [virtual]

Get Macro to get the length of a measurement vector in the KdTree. The length is obtained from the input sample.

MetaDataDictionary& itk::Object::GetMetaDataDictionary

(

void

)

[inherited]

Returns:

A reference to this objects MetaDataDictionary.

Warning:

This reference may be changed.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary

(

void

)

const [inherited]

Returns:

A constant reference to this objects MetaDataDictionary.

virtual unsigned long itk::Object::GetMTime

(

)

const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TSample >

virtual const char* itk::Statistics::KdTree< TSample >::GetNameOfClass

(

)

const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::Object.

template<class TSample >

virtual const char* itk::Statistics::KdTree< TSample >::GetNameOfClass

(

)

const [virtual]

Run-time type information (and related methods)

Reimplemented from itk::Object.

template<class TSample >

int itk::Statistics::KdTree< TSample >::GetNumberOfVisits

(

)

const [inline]

Returns the number of measurement vectors that have been visited to find the k-nearest neighbors.

Definition at line 558 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

int itk::Statistics::KdTree< TSample >::GetNumberOfVisits

(

)

const [inline]

Returns the number of measurement vectors that have been visited to find the k-nearest neighbors.

Definition at line 630 of file Review/Statistics/itkKdTree.h.

virtual int itk::LightObject::GetReferenceCount

(

)

const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TSample >

KdTreeNodeType* itk::Statistics::KdTree< TSample >::GetRoot

(

)

[inline]

Returns the pointer to the root node.

Definition at line 593 of file Review/Statistics/itkKdTree.h.

template<class TSample >

KdTreeNodeType* itk::Statistics::KdTree< TSample >::GetRoot

(

)

[inline]

Returns the pointer to the root node.

Definition at line 529 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

const TSample* itk::Statistics::KdTree< TSample >::GetSample

(

)

const [inline]

Returns the pointer to the input sample

Definition at line 561 of file Review/Statistics/itkKdTree.h.

template<class TSample >

const TSample* itk::Statistics::KdTree< TSample >::GetSample

(

)

const [inline]

Returns the pointer to the input sample

Definition at line 503 of file Numerics/Statistics/itkKdTree.h.

static void itk::Object::GlobalWarningDisplayOff

(

)

[inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn

(

)

[inline, static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver

(

const EventObject &

event

)

const [inherited]

Return true if an observer is registered for this event.

void itk::Object::InvokeEvent

(

const EventObject &

)

[inherited]

Call Execute on all the Commands observing this event id.

void itk::Object::InvokeEvent

(

const EventObject &

)

const [inherited]

Call Execute on all the Commands observing this event id. The actions triggered by this call doesn't modify this object.

virtual void itk::Object::Modified

(

)

const [virtual, inherited]

Update the modification time for this object. Many filters rely on the modification time to determine if they need to recompute their data.

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TSample >

int itk::Statistics::KdTree< TSample >::NearestNeighborSearchLoop	(	const KdTreeNodeType *	node,
		const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound
	)			const [protected]

search loop

template<class TSample >

int itk::Statistics::KdTree< TSample >::NearestNeighborSearchLoop	(	const KdTreeNodeType *	node,
		const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound
	)			const [protected]

search loop

template<class TSample >

static Pointer itk::Statistics::KdTree< TSample >::New

(

)

[static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TSample >

static Pointer itk::Statistics::KdTree< TSample >::New

(

)

[static]

Method for creation through the object factory.

Reimplemented from itk::Object.

template<class TSample >

void itk::Statistics::KdTree< TSample >::PlotTree

(

std::ostream &

os

)

const

Draw out the tree information to a ostream using the format of the Graphviz dot tool.

template<class TSample >

void itk::Statistics::KdTree< TSample >::PlotTree	(	KdTreeNodeType *	node,
		std::ostream &	os = std::cout
	)			const

Prints out the tree information

template<class TSample >

void itk::Statistics::KdTree< TSample >::PlotTree

(

std::ostream &

os

)

const

Draw out the tree information to a ostream using the format of the Graphviz dot tool.

template<class TSample >

void itk::Statistics::KdTree< TSample >::PlotTree	(	KdTreeNodeType *	node,
		std::ostream &	os = std::cout
	)			const

Prints out the tree information

void itk::LightObject::Print	(	std::ostream &	os,
		Indent	indent = 0
	)			const [inherited]

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

virtual void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)			const [protected, virtual, inherited]

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.

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)			const [protected, inherited]

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const [protected, virtual]

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.

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintSelf	(	std::ostream &	os,
		Indent	indent
	)			const [protected, virtual]

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.

virtual void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)			const [protected, virtual, inherited]

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.

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintTree	(	KdTreeNodeType *	node,
		unsigned int	level,
		unsigned int	activeDimension,
		std::ostream &	os = std::cout
	)			const

Prints out the tree information

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintTree	(	KdTreeNodeType *	node,
		unsigned int	level,
		unsigned int	activeDimension,
		std::ostream &	os = std::cout
	)			const

Prints out the tree information

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintTree

(

std::ostream &

os

)

const

Prints out the tree information

template<class TSample >

void itk::Statistics::KdTree< TSample >::PrintTree

(

std::ostream &

os

)

const

Prints out the tree information

virtual void itk::Object::Register

(

)

const [virtual, inherited]

Increase the reference count (mark as used by another object).

Reimplemented from itk::LightObject.

void itk::Object::RemoveAllObservers

(

)

[inherited]

Remove all observers .

void itk::Object::RemoveObserver

(

unsigned long

tag

)

[inherited]

Remove the observer with this tag value.

template<class TSample >

void itk::Statistics::KdTree< TSample >::Search	(	const MeasurementVectorType &	query,
		unsigned int	numberOfNeighborsRequested,
		InstanceIdentifierVectorType &	result
	)			const

Searches the k-nearest neighbors

template<class TSample >

void itk::Statistics::KdTree< TSample >::Search	(	const MeasurementVectorType &	query,
		double	radius,
		InstanceIdentifierVectorType &	result
	)			const

Searches the neighbors fallen into a hypersphere

template<class TSample >

void itk::Statistics::KdTree< TSample >::Search	(	const MeasurementVectorType &	query,
		double	radius,
		InstanceIdentifierVectorType &	result
	)			const

Searches the neighbors fallen into a hypersphere

template<class TSample >

void itk::Statistics::KdTree< TSample >::Search	(	const MeasurementVectorType &	query,
		unsigned int	numberOfNeighborsRequested,
		InstanceIdentifierVectorType &	result
	)			const

Searches the k-nearest neighbors

template<class TSample >

int itk::Statistics::KdTree< TSample >::SearchLoop	(	const KdTreeNodeType *	node,
		const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound
	)			const [protected]

search loop

template<class TSample >

int itk::Statistics::KdTree< TSample >::SearchLoop	(	const KdTreeNodeType *	node,
		const MeasurementVectorType &	query,
		MeasurementVectorType &	lowerBound,
		MeasurementVectorType &	upperBound
	)			const [protected]

search loop

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetBucketSize

(

unsigned int

size

)

Sets the number of measurement vectors that can be stored in a terminal node

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetBucketSize

(

unsigned int

size

)

Sets the number of measurement vectors that can be stored in a terminal node

void itk::Object::SetDebug

(

bool

debugFlag

)

const [inherited]

Set the value of the debug flag. A non-zero value turns debugging on.

static void itk::Object::SetGlobalWarningDisplay

(

bool

flag

)

[static, inherited]

This is a global flag that controls whether any debug, warning or error messages are displayed.

Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().

void itk::Object::SetMetaDataDictionary

(

const MetaDataDictionary &

rhs

)

[inherited]

Returns:

Set the MetaDataDictionary

virtual void itk::Object::SetReferenceCount

(

int

)

[virtual, inherited]

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetRoot

(

KdTreeNodeType *

root

)

[inline]

Sets the root node of the KdTree that is a result of KdTreeGenerator or WeightedCentroidKdTreeGenerator.

Definition at line 518 of file Numerics/Statistics/itkKdTree.h.

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetRoot

(

KdTreeNodeType *

root

)

[inline]

Sets the root node of the KdTree that is a result of KdTreeGenerator or WeightedCentroidKdTreeGenerator.

Definition at line 582 of file Review/Statistics/itkKdTree.h.

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetSample

(

const TSample *

sample

)

Sets the input sample that provides the measurement vectors to the k-d tree

template<class TSample >

void itk::Statistics::KdTree< TSample >::SetSample

(

const TSample *

sample

)

Sets the input sample that provides the measurement vectors to the k-d tree

template<class TSample >

unsigned long itk::Statistics::KdTree< TSample >::Size

(

void

)

const [inline]

Definition at line 566 of file Review/Statistics/itkKdTree.h.

template<class TSample >

unsigned long itk::Statistics::KdTree< TSample >::Size

(

void

)

const [inline]

Definition at line 506 of file Numerics/Statistics/itkKdTree.h.

virtual void itk::Object::UnRegister

(

)

const [virtual, inherited]

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

---

Member Data Documentation

InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited]

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.

---

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

• Numerics/Statistics/itkKdTree.h
• Review/Statistics/itkKdTree.h