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

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.

Member Typedef Documentation

template<class TSample>

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

Definition at line 566 of file itkKdTree.h.

template<class TSample>

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

Reimplemented from itk::Object.

Definition at line 368 of file itkKdTree.h.

template<class TSample>

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

DistanceMetric type for the distance calculation and comparison

Definition at line 387 of file itkKdTree.h.

template<class TSample>

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

Definition at line 381 of file itkKdTree.h.

template<class TSample>

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

Definition at line 380 of file itkKdTree.h.

template<class TSample>

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

Definition at line 400 of file itkKdTree.h.

template<class TSample>

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

Definition at line 565 of file itkKdTree.h.

template<class TSample>

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

Node type of the KdTree

Definition at line 393 of file itkKdTree.h.

template<class TSample>

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

Definition at line 379 of file itkKdTree.h.

template<class TSample>

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

Definition at line 383 of file itkKdTree.h.

template<class TSample>

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

Definition at line 378 of file 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 398 of file itkKdTree.h.

template<class TSample>

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

Reimplemented from itk::Object.

Definition at line 367 of file itkKdTree.h.

template<class TSample>

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

typedef alias for the source data container

Definition at line 374 of file itkKdTree.h.

template<class TSample>

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

Standard class typedefs

Reimplemented from itk::Object.

Definition at line 365 of file itkKdTree.h.

template<class TSample>

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

Reimplemented from itk::Object.

Definition at line 366 of file 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.

Member Function Documentation

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

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

template<class TSample>

bool itk::Statistics::KdTree< TSample >::BallWithinBounds	(	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>

ConstIterator itk::Statistics::KdTree< TSample >::Begin ( void ) const [inline]

Definition at line 580 of file itkKdTree.h.

template<class TSample>

Iterator itk::Statistics::KdTree< TSample >::Begin ( void ) [inline]

Definition at line 568 of file itkKdTree.h.

template<class TSample>

bool itk::Statistics::KdTree< TSample >::BoundsOverlapBall	(	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.

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>

ConstIterator itk::Statistics::KdTree< TSample >::End ( void ) const [inline]

Definition at line 586 of file itkKdTree.h.

template<class TSample>

Iterator itk::Statistics::KdTree< TSample >::End ( void ) [inline]

Definition at line 574 of file 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 522 of file 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 499 of file 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 518 of file itkKdTree.h.

static bool itk::Object::GetGlobalWarningDisplay ( ) [static, inherited]

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 513 of file 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.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) const [inherited]

Returns:: A constant reference to this objects MetaDataDictionary.

MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void ) [inherited]

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

virtual unsigned long itk::Object::GetMTime ( ) const [virtual, inherited]

Return this objects modified time.

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>

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 537 of file itkKdTree.h.

virtual int itk::LightObject::GetReferenceCount ( ) const [inline, virtual, inherited]

Gets the reference count on this object.

Definition at line 98 of file itkLightObject.h.

template<class TSample>

KdTreeNodeType* itk::Statistics::KdTree< TSample >::GetRoot ( ) [inline]

Returns the pointer to the root node.

Definition at line 508 of file itkKdTree.h.

template<class TSample>

const TSample* itk::Statistics::KdTree< TSample >::GetSample ( ) const [inline]

Returns the pointer to the input sample

Definition at line 489 of file itkKdTree.h.

static void itk::Object::GlobalWarningDisplayOff ( ) [inline, static, inherited]

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

static void itk::Object::GlobalWarningDisplayOn ( ) [inline, static, inherited]

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 & ) const [inherited]

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

void itk::Object::InvokeEvent ( const EventObject & ) [inherited]

Call Execute on all the Commands observing this event id.

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.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), 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,
		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.

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

Cause the object to print itself out.

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

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

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.

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

template<class TSample>

void itk::Statistics::KdTree< TSample >::PrintTree	(	KdTreeNodeType *	node,
		int	level,
		unsigned int	activeDimension
	)

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	(	MeasurementVectorType &	query,
		double	radius,
		InstanceIdentifierVectorType &	result
	)			const

Searches the neighbors fallen into a hypersphere

template<class TSample>

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

Searches the k-nearest neighbors

template<class TSample>

int itk::Statistics::KdTree< TSample >::SearchLoop	(	const KdTreeNodeType *	node,
		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

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 504 of file 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>

unsigned long itk::Statistics::KdTree< TSample >::Size ( void ) const [inline]

Definition at line 492 of file 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

volatile int itk::LightObject::m_ReferenceCount [mutable, protected, inherited]

Number of uses of this object by other objects.

Definition at line 119 of file itkLightObject.h.

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

Mutex lock to protect modification to the reference count

Definition at line 122 of file itkLightObject.h.

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

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Classes

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation


int	SearchLoop (const KdTreeNodeType *node, MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const
Public Types
typedef TSample::ConstIterator	ConstIterator
typedef SmartPointer< const Self >	ConstPointer
typedef EuclideanDistance< MeasurementVectorType >	DistanceMetricType
typedef TSample::FrequencyType	FrequencyType
typedef TSample::InstanceIdentifier	InstanceIdentifier
typedef std::vector< InstanceIdentifier >	InstanceIdentifierVectorType
typedef TSample::Iterator	Iterator
typedef KdTreeNode< TSample >	KdTreeNodeType
typedef TSample::MeasurementType	MeasurementType
typedef unsigned int	MeasurementVectorSizeType
typedef TSample::MeasurementVectorType	MeasurementVectorType
typedef std::pair< InstanceIdentifier, double >	NeighborType
typedef SmartPointer< Self >	Pointer
typedef TSample	SampleType
typedef KdTree	Self
typedef Object	Superclass
Public Member Functions
bool	BallWithinBounds (MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound, double radius) const
ConstIterator	Begin () const
Iterator	Begin ()
bool	BoundsOverlapBall (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)
ConstIterator	End () const
Iterator	End ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
DistanceMetricType *	GetDistanceMetric ()
KdTreeNodeType *	GetEmptyTerminalNode ()
FrequencyType	GetFrequency (InstanceIdentifier id) const
const MeasurementVectorType &	GetMeasurementVector (InstanceIdentifier id) const
virtual MeasurementVectorSizeType	GetMeasurementVectorSize () const
const MetaDataDictionary &	GetMetaDataDictionary (void) const
MetaDataDictionary &	GetMetaDataDictionary (void)
virtual unsigned long	GetMTime () const
virtual const char *	GetNameOfClass () const
int	GetNumberOfVisits () const
virtual int	GetReferenceCount () const
KdTreeNodeType *	GetRoot ()
const TSample *	GetSample () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &) const
void	InvokeEvent (const EventObject &)
virtual void	Modified () const
void	Print (std::ostream &os, Indent indent=0) const
void	PrintTree (KdTreeNodeType *node, int level, unsigned int activeDimension)
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	Search (MeasurementVectorType &query, double radius, InstanceIdentifierVectorType &result) const
void	Search (MeasurementVectorType &query, unsigned int k, InstanceIdentifierVectorType &result) const
void	SetBucketSize (unsigned int size)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
void	SetRoot (KdTreeNodeType *root)
void	SetSample (const TSample *sample)
unsigned long	Size () const
virtual void	UnRegister () const

unsigned long	AddObserver (const EventObject &event, Command *) const
unsigned long	AddObserver (const EventObject &event, Command *)
Static Public Member Functions
static void	BreakOnError ()
static Pointer	New ()

static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
Protected Member Functions
	KdTree ()
int	NearestNeighborSearchLoop (const KdTreeNodeType *node, MeasurementVectorType &query, MeasurementVectorType &lowerBound, MeasurementVectorType &upperBound) const
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, Indent indent) const
virtual	~KdTree ()

virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
Protected Attributes
volatile int	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
Classes
class	NearestNeighbors
	data structure for storing k-nearest neighbor search result (k number of Neighbors) More...

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

Detailed Description

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

Public Types

Public Member Functions

Static Public Member Functions

Protected Member Functions

Protected Attributes

Classes

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

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