This class is responsible for the learning of a self organizing map when considered as a torus. More...

#include <otbPeriodicSOM.h>

Inheritance diagram for otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >:

Collaboration diagram for otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >:

List of all members.

Public Types
typedef itk::SmartPointer < const Self >	ConstPointer
typedef DataObject::Pointer	DataObjectPointer
typedef std::vector < DataObjectPointer >	DataObjectPointerArray
typedef DataObjectPointerArray::size_type	DataObjectPointerArraySizeType
typedef MapType::IndexType	IndexType
typedef ListSampleType::Pointer	ListSamplePointerType
typedef TListSample	ListSampleType
typedef MapType::Pointer	MapPointerType
typedef TMap	MapType
typedef MapType::PixelType	NeuronType
typedef OutputImageType::PixelType	OutputImagePixelType
typedef OutputImageType::Pointer	OutputImagePointer
typedef OutputImageType::RegionType	OutputImageRegionType
typedef TMap	OutputImageType
typedef itk::SmartPointer< Self >	Pointer
typedef MapType::RegionType	RegionType
typedef PeriodicSOM	Self
typedef MapType::SizeType	SizeType
typedef TSOMLearningBehaviorFunctor	SOMLearningBehaviorFunctorType
typedef TSOMNeighborhoodBehaviorFunctor	SOMNeighborhoodBehaviorFunctorType
typedef SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >	Superclass
typedef NeuronType::ValueType	ValueType

Public Member Functions
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual void	DebugOff () const
virtual void	DebugOn () const
virtual void	Delete ()
virtual void	EnlargeOutputRequestedRegion (DataObject *)
virtual const bool &	GetAbortGenerateData ()
virtual double	GetBetaEnd ()
virtual double	GetBetaInit ()
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
DataObjectPointerArray &	GetInputs ()
virtual ListSampleType *	GetListSample ()
virtual SizeType	GetMapSize ()
virtual ValueType	GetMaxWeight ()
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual ValueType	GetMinWeight ()
virtual unsigned long	GetMTime () const
MultiThreader *	GetMultiThreader ()
virtual const char *	GetNameOfClass () const
virtual SizeType	GetNeighborhoodSizeInit ()
DataObjectPointerArraySizeType	GetNumberOfInputs () const
virtual unsigned int	GetNumberOfIterations ()
DataObjectPointerArraySizeType	GetNumberOfOutputs () const
virtual const int &	GetNumberOfThreads ()
virtual DataObjectPointerArraySizeType	GetNumberOfValidRequiredInputs () const
OutputImageType *	GetOutput (void)
OutputImageType *	GetOutput (unsigned int idx)
DataObjectPointerArray &	GetOutputs ()
virtual const float &	GetProgress ()
virtual bool	GetRandomInit ()
virtual int	GetReferenceCount () const
virtual const bool &	GetReleaseDataBeforeUpdateFlag ()
virtual bool	GetReleaseDataFlag () const
virtual unsigned int	GetSeed ()
virtual void	GraftNthOutput (unsigned int idx, DataObject *output)
virtual void	GraftOutput (DataObject *output)
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual DataObjectPointer	MakeOutput (unsigned int idx)
virtual void	Modified () const
virtual void	PrepareOutputs ()
void	Print (std::ostream &os, Indent indent=0) const
virtual void	PropagateRequestedRegion (DataObject *output)
virtual void	Register () const
virtual void	ReleaseDataBeforeUpdateFlagOff ()
virtual void	ReleaseDataBeforeUpdateFlagOn ()
void	ReleaseDataFlagOff ()
void	ReleaseDataFlagOn ()
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
virtual void	ResetPipeline ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	SetBetaEnd (double _arg)
void	SetBetaFunctor (const SOMLearningBehaviorFunctorType &functor)
virtual void	SetBetaInit (double _arg)
void	SetDebug (bool debugFlag) const
virtual void	SetListSample (ListSampleType *_arg)
virtual void	SetMapSize (SizeType _arg)
virtual void	SetMaxWeight (ValueType _arg)
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetMinWeight (ValueType _arg)
void	SetNeighborhoodSizeFunctor (const SOMNeighborhoodBehaviorFunctorType &functor)
virtual void	SetNeighborhoodSizeInit (SizeType _arg)
virtual void	SetNumberOfIterations (unsigned int _arg)
virtual void	SetNumberOfThreads (int _arg)
virtual void	SetProgress (float _arg)
virtual void	SetRandomInit (bool _arg)
virtual void	SetReferenceCount (int)
virtual void	SetReleaseDataBeforeUpdateFlag (bool _arg)
virtual void	SetReleaseDataFlag (bool flag)
virtual void	SetSeed (unsigned int _arg)
virtual void	UnRegister () const
virtual void	Update ()
virtual void	UpdateLargestPossibleRegion ()
virtual void	UpdateOutputData (DataObject *output)
virtual void	UpdateOutputInformation ()
void	UpdateProgress (float amount)

Static Public Member Functions
static void	BreakOnError ()
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static Pointer	New ()
static void	SetGlobalWarningDisplay (bool flag)

Static Public Attributes
static const unsigned int	MapDimension = MapType::ImageDimension
static const unsigned int	OutputImageDimension

Protected Types
typedef int	InternalReferenceCountType

Protected Member Functions
	PeriodicSOM ()
virtual	~PeriodicSOM ()
virtual void	AddInput (DataObject *input)
virtual void	AddOutput (DataObject *output)
virtual void	AfterThreadedGenerateData ()
virtual void	AllocateOutputs ()
virtual void	BeforeThreadedGenerateData ()
virtual void	CacheInputReleaseDataFlags ()
virtual void	GenerateData (void)
virtual void	GenerateInputRequestedRegion ()
virtual void	GenerateOutputInformation ()
virtual void	GenerateOutputRequestedRegion (DataObject *output)
DataObject *	GetInput (unsigned int idx)
const DataObject *	GetInput (unsigned int idx) const
virtual const unsigned int &	GetNumberOfRequiredInputs ()
virtual const unsigned int &	GetNumberOfRequiredOutputs ()
const DataObject *	GetOutput (unsigned int idx) const
virtual void	PopBackInput ()
virtual void	PopFrontInput ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
bool	PrintObservers (std::ostream &os, Indent indent) const
void	PrintSelf (std::ostream &os, itk::Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual void	PropagateResetPipeline ()
virtual void	PushBackInput (const DataObject *input)
virtual void	PushFrontInput (const DataObject *input)
virtual void	ReleaseInputs ()
virtual void	RemoveInput (DataObject *input)
virtual void	RemoveOutput (DataObject *output)
virtual void	RestoreInputReleaseDataFlags ()
virtual void	SetNthInput (unsigned int num, DataObject *input)
virtual void	SetNthOutput (unsigned int num, DataObject *output)
void	SetNumberOfInputs (unsigned int num)
void	SetNumberOfOutputs (unsigned int num)
virtual void	SetNumberOfRequiredInputs (unsigned int _arg)
virtual void	SetNumberOfRequiredOutputs (unsigned int _arg)
virtual int	SplitRequestedRegion (int i, int num, OutputImageRegionType &splitRegion)
virtual void	Step (unsigned int currentIteration)
virtual void	ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, int threadId)
virtual void	UpdateMap (const NeuronType &sample, double beta, SizeType &radius)

Static Protected Member Functions
static ITK_THREAD_RETURN_TYPE	ThreaderCallback (void *arg)

Protected Attributes
TimeStamp	m_OutputInformationMTime
InternalReferenceCountType	m_ReferenceCount
SimpleFastMutexLock	m_ReferenceCountLock
bool	m_Updating

Private Member Functions
	PeriodicSOM (const Self &)
void	operator= (const Self &)

Detailed Description

template<class TListSample, class TMap, class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>
class otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >

This class is responsible for the learning of a self organizing map when considered as a torus.

This class extends the SOM object which implements the Self Organizing Map (or Kohonen map) learning.

The learning process iteratively select the best-response neuron for each input vector, enhancing its response and the response of its neighbors with respect to a certain radius, computed from an initial radius, and to a certain learning factor, decreasing at each iteration.

The behavior of the neighborhood is given by a functor (templated) which parameter is the current iteration. It returns a neighborhood of type

SizeType

.

The behavior of the learning factor (hold by a beta variable) is given by an other functor which parameter is the current iteration. It returns a beta value of type

double

.

The SOMMap produced as output can be either initialized with a constant custom value or randomly generated following a normal law. The seed for the random intialization can be modified.

See also:: SOMMap; SOMActivationBuilder; CzihoSOMLearningBehaviorFunctor; CzihoSOMNeighborhoodBehaviorFunctor

Definition at line 58 of file otbPeriodicSOM.h.

Member Typedef Documentation

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef itk::SmartPointer<const Self> otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::ConstPointer

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 68 of file otbPeriodicSOM.h.

typedef DataObject::Pointer itk::ImageSource< TMap >::DataObjectPointer

inherited

Smart Pointer type to a DataObject.

Reimplemented from itk::ProcessObject.

Definition at line 62 of file itkImageSource.h.

typedef std::vector<DataObjectPointer> itk::ProcessObject::DataObjectPointerArray

inherited

STL Array of SmartPointers to DataObjects

Definition at line 103 of file itkProcessObject.h.

typedef DataObjectPointerArray::size_type itk::ProcessObject::DataObjectPointerArraySizeType

inherited

Size type of an std::vector

Definition at line 112 of file itkProcessObject.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef MapType::IndexType otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::IndexType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 81 of file otbPeriodicSOM.h.

typedef int itk::LightObject::InternalReferenceCountType

protectedinherited

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

Definition at line 137 of file itkLightObject.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef ListSampleType::Pointer otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::ListSamplePointerType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 77 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef TListSample otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::ListSampleType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 74 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef MapType::Pointer otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::MapPointerType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 84 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef TMap otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::MapType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 78 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef MapType::PixelType otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::NeuronType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 79 of file otbPeriodicSOM.h.

typedef OutputImageType::PixelType itk::ImageSource< TMap >::OutputImagePixelType

inherited

Definition at line 71 of file itkImageSource.h.

typedef OutputImageType::Pointer itk::ImageSource< TMap >::OutputImagePointer

inherited

Definition at line 69 of file itkImageSource.h.

typedef OutputImageType::RegionType itk::ImageSource< TMap >::OutputImageRegionType

inherited

Definition at line 70 of file itkImageSource.h.

typedef TMap itk::ImageSource< TMap >::OutputImageType

inherited

Some convenient typedefs.

Definition at line 65 of file itkImageSource.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef itk::SmartPointer<Self> otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::Pointer

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 67 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef MapType::RegionType otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::RegionType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 83 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef PeriodicSOM otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::Self

Standard typedefs

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 63 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef MapType::SizeType otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SizeType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 82 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef TSOMLearningBehaviorFunctor otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SOMLearningBehaviorFunctorType

inherited

Definition at line 82 of file otbSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef TSOMNeighborhoodBehaviorFunctor otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SOMNeighborhoodBehaviorFunctorType

inherited

Definition at line 83 of file otbSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef SOM<TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor> otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::Superclass

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 66 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

typedef NeuronType::ValueType otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::ValueType

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 80 of file otbPeriodicSOM.h.

Constructor & Destructor Documentation

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::PeriodicSOM ( )

inlineprotected

Constructor

Definition at line 88 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::~PeriodicSOM ( )

inlineprotectedvirtual

Destructor

Definition at line 90 of file otbPeriodicSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::PeriodicSOM ( const Self & )

private

Member Function Documentation

virtual void itk::ProcessObject::AbortGenerateDataOff ( )

virtualinherited

virtual void itk::ProcessObject::AbortGenerateDataOn ( )

virtualinherited

Turn on and off the AbortGenerateData flag.

void itk::ProcessObject::AddInput ( DataObject * input )

protectedvirtualinherited

Adds an input to the first null position in the input list. Expands the list memory if necessary

Reimplemented in otb::ObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionPrecision, TCoordRep >, otb::DescriptorsListSampleGenerator< TInputImage, TVectorData, TListSample, TLabelListSample, TOutputPrecision, TCoordRep >, otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >, and otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >.

Definition at line 144 of file itkProcessObject.cxx.

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *	cmd
	)

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

Definition at line 389 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), itk::ProgressAccumulator::RegisterInternalFilter(), otb::ImageFileWriter< TInputImage >::Update(), and otb::WriterWatcherBase::WriterWatcherBase().

unsigned long itk::Object::AddObserver	(	const EventObject &	event,
		Command *	cmd
	)		const

inherited

Definition at line 401 of file itkObject.cxx.

References itk::SubjectImplementation::AddObserver().

void itk::ProcessObject::AddOutput ( DataObject * output )

protectedvirtualinherited

Adds an output to the first null position in the output list. Expands the list memory if necessary

Definition at line 390 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

virtual void itk::ImageSource< TMap >::AfterThreadedGenerateData ( void )

inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after all processing threads have completed, the filter can can provide an implementation for AfterThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 264 of file itkImageSource.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::AllocateOutputs ( )

inlineprotectedvirtual

Output allocation redefinition

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 97 of file otbPeriodicSOM.h.

virtual void itk::ImageSource< TMap >::BeforeThreadedGenerateData ( void )

inlineprotectedvirtualinherited

If an imaging filter needs to perform processing after the buffer has been allocated but before threads are spawned, the filter can can provide an implementation for BeforeThreadedGenerateData(). The execution flow in the default GenerateData() method will be: 1) Allocate the output buffer 2) Call BeforeThreadedGenerateData() 3) Spawn threads, calling ThreadedGenerateData() in each thread. 4) Call AfterThreadedGenerateData() Note that this flow of control is only available if a filter provides a ThreadedGenerateData() method and NOT a GenerateData() method.

Definition at line 252 of file itkImageSource.h.

void itk::LightObject::BreakOnError ( )

staticinherited

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

Definition at line 149 of file itkLightObject.cxx.

void itk::ProcessObject::CacheInputReleaseDataFlags ( )

protectedvirtualinherited

Cache the state of any ReleaseDataFlag's on the inputs. While the filter is executing, we need to set the ReleaseDataFlag's on the inputs to false in case the current filter is implemented using a mini-pipeline (which will try to release the inputs). After the filter finishes, we restore the state of the ReleaseDataFlag's before the call to ReleaseInputs().

Definition at line 1050 of file itkProcessObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual::itk::LightObject::Pointer otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::CreateAnother ( void ) 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 otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

void itk::Object::DebugOff ( ) const

virtualinherited

Turn debugging output off.

Definition at line 253 of file itkObject.cxx.

void itk::Object::DebugOn ( ) const

virtualinherited

Turn debugging output on.

Definition at line 242 of file itkObject.cxx.

void itk::LightObject::Delete ( )

virtualinherited

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.

Delete a 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.

Definition at line 88 of file itkLightObject.cxx.

virtual void itk::ProcessObject::EnlargeOutputRequestedRegion ( DataObject * )

inlinevirtualinherited

Give the process object a chance to indictate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Definition at line 224 of file itkProcessObject.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GenerateData ( void )

inlineprotectedvirtual

Main computation method

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 102 of file otbPeriodicSOM.h.

void itk::ProcessObject::GenerateInputRequestedRegion ( void )

protectedvirtualinherited

What is the input requested region that is required to produce the output requested region? By default, the largest possible region is always required but this is overridden in many subclasses. For instance, for an image processing filter where an output pixel is a simple function of an input pixel, the input requested region will be set to the output requested region. For an image processing filter where an output pixel is a function of the pixels in a neighborhood of an input pixel, then the input requested region will need to be larger than the output requested region (to avoid introducing artificial boundary conditions). This function should never request an input region that is outside the the input largest possible region (i.e. implementations of this method should crop the input requested region at the boundaries of the input largest possible region).

By default we require all the input to produce the output. This is overridden in the subclasses since we can often produce the output with just a portion of the input data.

Definition at line 828 of file itkProcessObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GenerateOutputInformation ( void )

inlineprotectedvirtual

Output information redefinition

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 92 of file otbPeriodicSOM.h.

void itk::ProcessObject::GenerateOutputRequestedRegion ( DataObject * output )

protectedvirtualinherited

Given one output whose requested region has been set, how should the requested regions for the remaining outputs of the process object be set? By default, all the outputs are set to the same requested region. If a filter needs to produce different requested regions for each output, for instance an image processing filter producing several outputs at different resolutions, then that filter may override this method and set the requested regions appropriatedly.

Note that a filter producing multiple outputs of different types is required to override this method. The default implementation can only correctly handle multiple outputs of the same type.

By default we set all the output requested regions to be the same.

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, itk::watershed::SegmentTreeGenerator< TScalarType >, itk::watershed::SegmentTreeGenerator< ScalarType >, itk::MultiResolutionPyramidImageFilter< TInputImage, TOutputImage >, itk::watershed::Relabeler< TScalarType, TImageDimension >, itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>, itk::watershed::BoundaryResolver< TPixelType, TDimension >, itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >, and itk::RecursiveMultiResolutionPyramidImageFilter< TInputImage, TOutputImage >.

Definition at line 846 of file itkProcessObject.cxx.

virtual const bool& itk::ProcessObject::GetAbortGenerateData ( )

virtualinherited

Get the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual double otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetBetaEnd ( )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual double otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetBetaInit ( )

virtualinherited

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.

Definition at line 414 of file itkObject.cxx.

References itk::Object::GetCommand(), and NULL.

Referenced by itk::Object::GetCommand().

bool itk::Object::GetDebug ( ) const

inherited

Get the value of the debug flag.

Definition at line 264 of file itkObject.cxx.

Referenced by otb::ogr::ImageReference< double >::GetDebug().

bool itk::Object::GetGlobalWarningDisplay ( )

staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

DataObject * itk::ProcessObject::GetInput ( unsigned int idx )

protectedinherited

Method used internally for getting an input.

Definition at line 470 of file itkProcessObject.cxx.

References NULL.

const DataObject * itk::ProcessObject::GetInput ( unsigned int idx ) const

protectedinherited

Reimplemented in otb::AngularProjectionSetImageFilter< TInputImage, TOutputImage, TAngleList, TPrecision >, otb::SparseUnmixingImageFilter< TInputImage, TOutputImage, VNbInputImage, TPrecision, TMotherWaveletOperator >, otb::AngularProjectionImageFilter< TInputImage, TOutputImage, TAngleArray, TPrecision >, otb::LabeledSampleLocalizationGenerator< TVectorData >, otb::ConcatenateVectorDataFilter< TVectorData >, itk::MeshToMeshFilter< TInputMesh, TOutputMesh >, and itk::MeshToMeshFilter< TInput, TOutput >.

Definition at line 482 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetInputs ( )

inlineinherited

Return an array with all the inputs of this process object. This is useful for tracing back in the pipeline to construct graphs etc.

Definition at line 108 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual ListSampleType* otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetListSample ( )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual SizeType otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetMapSize ( )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual ValueType otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetMaxWeight ( )

virtualinherited

MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void )

inherited

Returns:: A reference to this objects MetaDataDictionary.

Warning:: This reference may be changed.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 532 of file itkObject.cxx.

References NULL.

const MetaDataDictionary & itk::Object::GetMetaDataDictionary ( void ) const

inherited

Returns:: A constant reference to this objects MetaDataDictionary.

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 543 of file itkObject.cxx.

References NULL.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual ValueType otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetMinWeight ( )

virtualinherited

unsigned long itk::Object::GetMTime ( void ) const

virtualinherited

Return this objects modified time.

Return the modification for this object.

Definition at line 286 of file itkObject.cxx.

Referenced by itk::DeformationFieldSource< TOutputImage >::GetMTime(), itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >::GetMTime(), itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >::GetMTime(), itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >::GetMTime(), itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< TDimension >::GetMTime(), itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >::GetMTime(), itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime(), otb::Function::NoStretchRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::Initialize(), itk::VTKImageExportBase::PipelineModifiedCallback(), and itk::ProcessObject::UpdateOutputInformation().

MultiThreader* itk::ProcessObject::GetMultiThreader ( )

inlineinherited

Return the multithreader used by this class.

Definition at line 280 of file itkProcessObject.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual const char* otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetNameOfClass ( ) const

virtual

Runtime informations macro

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual SizeType otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetNeighborhoodSizeInit ( )

virtualinherited

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfInputs ( ) const

inlineinherited

Get the size of the input vector. This is merely the size of the input vector, not the number of inputs that have valid DataObject's assigned. Use GetNumberOfValidRequiredInputs() to determine how many inputs are non-null.

Definition at line 118 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual unsigned int otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetNumberOfIterations ( )

virtualinherited

DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfOutputs ( ) const

inlineinherited

Reimplemented in otb::ImageSeriesFileReaderBase< TImage, TInternalImage >, otb::ImageSeriesFileReaderBase< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >, otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >, and otb::ImageSeriesFileReaderBase< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >.

Definition at line 135 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredInputs ( )

protectedvirtualinherited

virtual const unsigned int& itk::ProcessObject::GetNumberOfRequiredOutputs ( )

protectedvirtualinherited

virtual const int& itk::ProcessObject::GetNumberOfThreads ( )

virtualinherited

Referenced by itk::BSplineScatteredDataPointSetToImageFilter< TInputPointSet, TOutputImage >::SplitRequestedRegion().

ProcessObject::DataObjectPointerArraySizeType itk::ProcessObject::GetNumberOfValidRequiredInputs ( ) const

virtualinherited

Get the number of valid inputs. This is the number of non-null entries in the input vector in the first NumberOfRequiredInputs slots. This method is used to determine whether the necessary required inputs have been set. Subclasses of ProcessObject may override this implementation if the required inputs are not the first slots in input vector.

Get the number of specified inputs

Reimplemented in itk::MultiResolutionPDEDeformableRegistration< TFixedImage, TMovingImage, TDeformationField, TRealType >, and itk::PDEDeformableRegistrationFilter< TFixedImage, TMovingImage, TDeformationField >.

Definition at line 112 of file itkProcessObject.cxx.

OutputImageType* itk::ImageSource< TMap >::GetOutput ( void )

inherited

Get the output data of this process object. The output of this function is not valid until an appropriate Update() method has been called, either explicitly or implicitly. Both the filter itself and the data object have Update() methods, and both methods update the data. Here are three ways to use GetOutput() and make sure the data is valid. In these examples, image is a pointer to some Image object, and the particular ProcessObjects involved are filters. The same examples apply to non-image (e.g. Mesh) data as well.

anotherFilter->SetInput( someFilter->GetOutput() );

anotherFilter->Update();

In this situation, someFilter and anotherFilter are said to constitute a pipeline.

image = someFilter->GetOutput();

image->Update();

someFilter->Update();

image = someFilter->GetOutput();

(In the above example, the two lines of code can be in either order.)

Note that Update() is not called automatically except within a pipeline as in the first example. When streaming (using a StreamingImageFilter) is activated, it may be more efficient to use a pipeline than to call Update() once for each filter in turn.

For an image, the data generated is for the requested Region, which can be set using ImageBase::SetRequestedRegion(). By default, the largest possible region is requested.

For Filters which have multiple outputs of different types, the GetOutput() method assumes the output is of OutputImageType. For the GetOutput(unsigned int) method, a dynamic_cast is performed incase the filter has outputs of different types or image types. Derived classes should have names get methods for these outputs.

OutputImageType* itk::ImageSource< TMap >::GetOutput ( unsigned int idx )

inherited

Method used internally for getting an output.

Reimplemented from itk::ProcessObject.

const DataObject * itk::ProcessObject::GetOutput ( unsigned int idx ) const

protectedinherited

Definition at line 454 of file itkProcessObject.cxx.

References NULL.

DataObjectPointerArray& itk::ProcessObject::GetOutputs ( )

inlineinherited

Return an array with all the outputs of this process object. This is useful for tracing forward in the pipeline to contruct graphs etc.

Definition at line 133 of file itkProcessObject.h.

Referenced by otb::PipelineMemoryPrintCalculator::EvaluateProcessObjectPrintRecursive().

virtual const float& itk::ProcessObject::GetProgress ( )

virtualinherited

Get the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), otb::StreamingImageVirtualWriter< TInputImage >::ObserveSourceFilterProgress(), otb::ImageFileWriter< TInputImage >::ObserveSourceFilterProgress(), itk::LaplacianRecursiveGaussianImageFilter< TInputImage, TOutputImage >::ReportProgress(), and itk::XMLFilterWatcher::ShowProgress().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual bool otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetRandomInit ( )

virtualinherited

virtual int itk::LightObject::GetReferenceCount ( ) const

inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

virtual const bool& itk::ProcessObject::GetReleaseDataBeforeUpdateFlag ( )

virtualinherited

bool itk::ProcessObject::GetReleaseDataFlag ( ) const

virtualinherited

Definition at line 512 of file itkProcessObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual unsigned int otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::GetSeed ( )

virtualinherited

static void itk::Object::GlobalWarningDisplayOff ( )

inlinestaticinherited

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

Referenced by itk::OutputWindow::DisplayText(), itk::Win32OutputWindow::PromptText(), and itk::Win32OutputWindow::WndProc().

static void itk::Object::GlobalWarningDisplayOn ( )

inlinestaticinherited

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

virtual void itk::ImageSource< TMap >::GraftNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

virtualinherited

Graft the specified data object onto this ProcessObject's idx'th output. This is similar to the GraftOutput method except it allows you to specify which output is affected. The specified index must be a valid output number (less than ProcessObject::GetNumberOfOutputs()). See the GraftOutput for general usage information.

virtual void itk::ImageSource< TMap >::GraftOutput ( DataObject * output )

virtualinherited

Graft the specified DataObject onto this ProcessObject's output. This method grabs a handle to the specified DataObject's bulk data to used as its output's own bulk data. It also copies the region ivars (RequestedRegion, BufferedRegion, LargestPossibleRegion) and meta-data (Spacing, Origin) from the specified data object into this filter's output data object. Most importantly, however, it leaves the Source ivar untouched so the original pipeline routing is intact. This method is used when a process object is implemented using a mini-pipeline which is defined in its GenerateData() method. The usage is:

        // setup the mini-pipeline to process the input to this filter
        firstFilterInMiniPipeline->SetInput( this->GetInput() );
   
        // setup the mini-pipeline to calculate the correct regions
        // and write to the appropriate bulk data block
        lastFilterInMiniPipeline->GraftOutput( this->GetOutput() );
    
        // execute the mini-pipeline
        lastFilterInMiniPipeline->Update();
    
        // graft the mini-pipeline output back onto this filter's output.
        // this is needed to get the appropriate regions passed back.
        this->GraftOutput( lastFilterInMiniPipeline->GetOutput() );

For proper pipeline execution, a filter using a mini-pipeline must implement the GenerateInputRequestedRegion(), GenerateOutputRequestedRegion(), GenerateOutputInformation() and EnlargeOutputRequestedRegion() methods as necessary to reflect how the mini-pipeline will execute (in other words, the outer filter's pipeline mechanism must be consistent with what the mini-pipeline will do).

bool itk::Object::HasObserver ( const EventObject & event ) const

inherited

Return true if an observer is registered for this event.

Definition at line 467 of file itkObject.cxx.

void itk::Object::InvokeEvent ( const EventObject & event )

inherited

Call Execute on all the Commands observing this event id.

Definition at line 446 of file itkObject.cxx.

Referenced by otb::Wrapper::Application::AddProcess(), itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback(), and itk::VTKImageExportBase::UpdateDataCallback().

void itk::Object::InvokeEvent ( const EventObject & event ) const

inherited

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

Definition at line 457 of file itkObject.cxx.

virtual DataObjectPointer itk::ImageSource< TMap >::MakeOutput ( unsigned int idx )

virtualinherited

Make a DataObject of the correct type to used as the specified output. Every ProcessObject subclass must be able to create a DataObject that can be used as a specified output. This method is automatically called when DataObject::DisconnectPipeline() is called. DataObject::DisconnectPipeline, disconnects a data object from being an output of its current source. When the data object is disconnected, the ProcessObject needs to construct a replacement output data object so that the ProcessObject is in a valid state. So DataObject::DisconnectPipeline eventually calls ProcessObject::MakeOutput. Note that MakeOutput always returns a SmartPointer to a DataObject. If a subclass of ImageSource has multiple outputs of different types, then that class must provide an implementation of MakeOutput().

Reimplemented from itk::ProcessObject.

void itk::Object::Modified ( void ) const

virtualinherited

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

Make sure this object's modified time is greater than all others.

Definition at line 297 of file itkObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

static Pointer otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::New ( )

static

Creation through object factory macro

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::operator= ( const Self & )

private

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

void itk::ProcessObject::PopBackInput ( )

protectedvirtualinherited

Model a stack on the input list by providing a pop back

Definition at line 245 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PopBackInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PopBackInput().

void itk::ProcessObject::PopFrontInput ( )

protectedvirtualinherited

Definition at line 280 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PopFrontInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PopFrontInput().

void itk::ProcessObject::PrepareOutputs ( )

virtualinherited

An opportunity to deallocate a ProcessObject's bulk data storage. Some filters may wish to reuse existing bulk data storage to avoid unnecessary deallocation/allocation sequences. The default implementation calls Initialize() on each output. DataObject::Initialize() frees its bulk data by default.

Reimplemented in itk::WatershedImageFilter< TInputImage >, and otb::GeometriesSource.

Definition at line 864 of file itkProcessObject.cxx.

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

inherited

Cause the object to print itself out.

Avoid DLL boundary problems. This function will be common to all itk objects. It just calls the header/self/trailer virtual print methods, which can be overriden by subclasses (any itk object).

Definition at line 135 of file itkLightObject.cxx.

References itk::Indent::GetNextIndent().

Referenced by itk::operator<<().

void itk::LightObject::PrintHeader	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtualinherited

Define a default print header for all objects.

Definition at line 320 of file itkLightObject.cxx.

bool itk::Object::PrintObservers	(	std::ostream &	os,
		Indent	indent
	)		const

protectedinherited

Definition at line 478 of file itkObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::PrintSelf	(	std::ostream &	os,
		itk::Indent	indent
	)		const

inlineprotectedvirtual

PrintSelf method

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 121 of file otbPeriodicSOM.h.

void itk::LightObject::PrintTrailer	(	std::ostream &	os,
		Indent	indent
	)		const

protectedvirtualinherited

Define a default print trailer for all objects.

Definition at line 331 of file itkLightObject.cxx.

void itk::ProcessObject::PropagateRequestedRegion ( DataObject * output )

virtualinherited

Send the requested region information back up the pipeline (to the filters that preceed this one).

 check flag to avoid executing forever if there is a loop

 Give the subclass a chance to indicate that it will provide
 more data then required for the output. This can happen, for
 example, when a source can only produce the whole output.
 Although this is being called for a specific output, the source
 may need to enlarge all outputs.

 Give the subclass a chance to define how to set the requested
 regions for each of its outputs, given this output's requested
 region.  The default implementation is to make all the output
 requested regions the same.  A subclass may need to override this
 method if each output is a different resolution.

 Give the subclass a chance to request a larger requested region on 
 the inputs. This is necessary when, for example, a filter
 requires more data at the "internal" boundaries to 
 produce the boundary values - such as an image filter that
 derives a new pixel value by applying some operation to a 
 neighborhood of surrounding original values.

 Now that we know the input requested region, propagate this
 through all the inputs.

Reimplemented in itk::VTKImageImport< TOutputImage >, and itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 766 of file itkProcessObject.cxx.

void itk::ProcessObject::PropagateResetPipeline ( )

protectedvirtualinherited

Called to allocate the input array. Copies old inputs. Propagate a call to ResetPipeline() up the pipeline. Called only from DataObject.

Propagate the ResetPipeline call

Definition at line 631 of file itkProcessObject.cxx.

void itk::ProcessObject::PushBackInput ( const DataObject * input )

protectedvirtualinherited

Push/Pop an input of this process object. These methods allow a filter to model its input vector as a queue or stack. These routines may not be appropriate for all filters, especially filters with different types of inputs. These routines follow the semantics of STL.

Model a queue on the input list by providing a push back

Definition at line 234 of file itkProcessObject.cxx.

Referenced by otb::OGRDataSourceToLabelImageFilter< TOutputImage >::AddOGRDataSource(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::AddVectorData(), otb::RasterizeVectorDataFilter< TVectorData, TInputImage, TOutputImage >::AddVectorData(), otb::JointMassOfBeliefFilter< TMassFunction >::PushBackInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PushBackInput().

void itk::ProcessObject::PushFrontInput ( const DataObject * input )

protectedvirtualinherited

Definition at line 259 of file itkProcessObject.cxx.

Referenced by otb::JointMassOfBeliefFilter< TMassFunction >::PushFrontInput(), and itk::ImageToImageFilter< TInputImage, TOutputImage >::PushFrontInput().

void itk::Object::Register ( ) const

virtualinherited

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

Reimplemented from itk::LightObject.

Definition at line 309 of file itkObject.cxx.

Referenced by itk::ObjectFactoryBase::RegisterFactory().

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOff ( )

virtualinherited

virtual void itk::ProcessObject::ReleaseDataBeforeUpdateFlagOn ( )

virtualinherited

void itk::ProcessObject::ReleaseDataFlagOff ( )

inlineinherited

Definition at line 256 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseDataFlagOn ( )

inlineinherited

Definition at line 255 of file itkProcessObject.h.

void itk::ProcessObject::ReleaseInputs ( )

protectedvirtualinherited

A filter may need to release its input's bulk data after it has finished calculating a new output. The filter may need to release the inputs because the user has turned on the ReleaseDataFlag or it may need to release the inputs because the filter is an "in place" filter and it has overwritten its input with its output data. The implementation here simply checks the ReleaseDataFlag of the inputs. InPlaceImageFilter overrides this method so release the input it has overwritten.

See also:: InPlaceImageFilter::ReleaseInputs()

Definition at line 886 of file itkProcessObject.cxx.

Referenced by itk::InPlaceImageFilter< TInputImage, TOutputImage >::ReleaseInputs(), and itk::InPlaceLabelMapFilter< TInputImage >::ReleaseInputs().

void itk::Object::RemoveAllObservers ( )

inherited

Remove all observers .

Definition at line 435 of file itkObject.cxx.

void itk::ProcessObject::RemoveInput ( DataObject * input )

protectedvirtualinherited

Remove an input.

Removes the first occurence of the given OutputObject from the inputs to this ProcessObject. If it's the last object on the list, shortens the list.

Definition at line 173 of file itkProcessObject.cxx.

void itk::Object::RemoveObserver ( unsigned long tag )

inherited

Remove the observer with this tag value.

Definition at line 425 of file itkObject.cxx.

Referenced by otb::StreamingImageVirtualWriter< TInputImage >::GenerateData(), and otb::ImageFileWriter< TInputImage >::Update().

void itk::ProcessObject::RemoveOutput ( DataObject * output )

protectedvirtualinherited

Definition at line 294 of file itkProcessObject.cxx.

void itk::ProcessObject::ResetPipeline ( )

virtualinherited

Reset the pipeline. If an exception is thrown during an Update(), the pipeline may be in an inconsistent state. This method clears the internal state of the pipeline so Update() can be called.

Definition at line 621 of file itkProcessObject.cxx.

Referenced by itk::ParallelSparseFieldLevelSetImageFilter< TInputImage, TOutputImage >::IterateThreaderCallback().

void itk::ProcessObject::RestoreInputReleaseDataFlags ( )

protectedvirtualinherited

Restore the cached input ReleaseDataFlags.

Definition at line 1075 of file itkProcessObject.cxx.

virtual void itk::ProcessObject::SetAbortGenerateData ( bool _arg )

virtualinherited

Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetBetaEnd ( double _arg )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetBetaFunctor ( const SOMLearningBehaviorFunctorType & functor )

inlineinherited

Definition at line 110 of file otbSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetBetaInit ( double _arg )

virtualinherited

void itk::Object::SetDebug ( bool debugFlag ) const

inherited

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

Definition at line 275 of file itkObject.cxx.

void itk::Object::SetGlobalWarningDisplay ( bool val )

staticinherited

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

Set the value of the global debug output control flag.

Definition at line 370 of file itkObject.cxx.

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

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetListSample ( ListSampleType * _arg )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetMapSize ( SizeType _arg )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetMaxWeight ( ValueType _arg )

virtualinherited

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary & rhs )

inherited

Returns:: Set the MetaDataDictionary

Reimplemented in otb::ImageMetadataInterfaceBase.

Definition at line 554 of file itkObject.cxx.

References NULL.

Referenced by otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), and otb::Image< TPixel, VImageDimension >::CopyInformation().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetMinWeight ( ValueType _arg )

virtualinherited

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetNeighborhoodSizeFunctor ( const SOMNeighborhoodBehaviorFunctorType & functor )

inlineinherited

Definition at line 115 of file otbSOM.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetNeighborhoodSizeInit ( SizeType _arg )

virtualinherited

void itk::ProcessObject::SetNthInput	(	unsigned int	idx,
		DataObject *	input
	)

protectedvirtualinherited

Protected methods for setting inputs. Subclasses make use of them for setting input.

Set an Input of this filter. This method does Register()/UnRegister() manually to deal with the fact that smart pointers aren't around to do the reference counting.

Reimplemented in itk::ImageToVectorImageFilter< TInputImage >.

Definition at line 210 of file itkProcessObject.cxx.

void itk::ProcessObject::SetNthOutput	(	unsigned int	idx,
		DataObject *	output
	)

protectedvirtualinherited

Protected methods for setting outputs. Subclasses make use of them for getting output.

Set an output of this filter. This method specifically does not do a Register()/UnRegister() because of the desire to break the reference counting loop.

Definition at line 333 of file itkProcessObject.cxx.

References itk::DataObject::ConnectSource().

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::BoundaryResolver(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::SimplexMeshToTriangleMeshFilter< TInputMesh, TOutputMesh >::CreateTriangles(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::EquivalenceRelabeler(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), itk::ImageRegistrationMethod< TFixedImage, TMovingImage >::ImageRegistrationMethod(), itk::ImageSource< TOutputImage >::ImageSource(), itk::Statistics::ImageToListGenerator< TImage, TMaskImage >::ImageToListGenerator(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >::ImageToSpatialObjectRegistrationMethod(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::InsertNewCells(), otb::Statistics::ListSampleToBalancedListSampleFilter< TInputSampleList, TLabelSampleList, TOutputSampleList >::ListSampleToBalancedListSampleFilter(), otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MinimumMaximumImageFilter< TInputImage >::MinimumMaximumImageFilter(), otb::MinMaxAttributesLabelMapFilter< TInputImage >::MinMaxAttributesLabelMapFilter(), itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >::MultiResolutionImageRegistrationMethod(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), itk::PathSource< TOutputPath >::PathSource(), otb::PersistentCompareImageFilter< TInputImage >::PersistentCompareImageFilter(), otb::PersistentDescriptorsListSampleGenerator< TInputImage, TVectorData, TFunctionType, TListSample, TLabelListSample >::PersistentDescriptorsListSampleGenerator(), otb::PersistentHistogramVectorImageFilter< TInputImage >::PersistentHistogramVectorImageFilter(), otb::PersistentInnerProductVectorImageFilter< TInputImage >::PersistentInnerProductVectorImageFilter(), otb::PersistentMatrixTransposeMatrixImageFilter< TInputImage, TInputImage2 >::PersistentMatrixTransposeMatrixImageFilter(), otb::PersistentMinMaxImageFilter< TInputImage >::PersistentMinMaxImageFilter(), otb::PersistentMinMaxVectorImageFilter< TInputImage >::PersistentMinMaxVectorImageFilter(), otb::PersistentObjectDetectionClassifier< TInputImage, TOutputVectorData, TLabel, TFunctionType >::PersistentObjectDetectionClassifier(), otb::PersistentStatisticsImageFilter< TInputImage >::PersistentStatisticsImageFilter(), otb::PersistentStreamingStatisticsMapFromLabelImageFilter< TInputVectorImage, TLabelImage >::PersistentStreamingStatisticsMapFromLabelImageFilter(), otb::PersistentStreamingStatisticsVectorImageFilter< TInputImage, TPrecision >::PersistentStreamingStatisticsVectorImageFilter(), otb::PersistentVectorImageToMatrixFilter< TInputImage >::PersistentVectorImageToMatrixFilter(), itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >::PointSetToImageRegistrationMethod(), itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >::PointSetToPointSetRegistrationMethod(), otb::ProspectModel::ProspectModel(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), otb::SailModel::SailModel(), itk::watershed::Segmenter< TInputImage >::Segmenter(), itk::watershed::SegmentTreeGenerator< TScalarType >::SegmentTreeGenerator(), itk::watershed::Segmenter< InputImageType >::SetBoundary(), itk::watershed::BoundaryResolver< TPixelType, TDimension >::SetEquivalencyTable(), itk::MeshSource< TOutputMesh >::SetOutput(), itk::watershed::EquivalenceRelabeler< TScalarType, TImageDimension >::SetOutputImage(), itk::watershed::Relabeler< ScalarType, itkGetStaticConstMacro(ImageDimension)>::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetOutputImage(), itk::watershed::Segmenter< InputImageType >::SetSegmentTable(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::StatisticsImageFilter< TInputImage >::StatisticsImageFilter(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

void itk::ProcessObject::SetNumberOfInputs ( unsigned int num )

protectedinherited

Called to allocate the input array. Copies old inputs.

Called by constructor to set up input array.

Definition at line 96 of file itkProcessObject.cxx.

Referenced by otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetNumberOfIterations ( unsigned int _arg )

virtualinherited

Accessors

void itk::ProcessObject::SetNumberOfOutputs ( unsigned int num )

protectedinherited

Called to allocate the output array. Copies old outputs.

Called by constructor to set up output array.

Definition at line 424 of file itkProcessObject.cxx.

Referenced by otb::MeanShiftSmoothingImageFilter< TInputImage, TOutputImage, TKernel, TOutputIterationImage >::MeanShiftSmoothingImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredInputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingImageFilter< TLevelSet, TSpeedImage >::FastMarchingImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::ImageToLabelMapWithAttributesFilter< TInputImage, TLabeledImage, TLabel, TLabelObject >::ImageToLabelMapWithAttributesFilter(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::PasteImageFilter< TInputImage, TSourceImage, TOutputImage >::PasteImageFilter(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD, TCost >::WaveletPacketTransform(), otb::WaveletPacketTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE, FullyDecomposedWaveletPacketCost< TInputImage > >::WaveletPacketTransform(), otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::FORWARD >::WaveletTransform(), and otb::WaveletTransform< TInputImage, TOutputImage, TFilter, Wavelet::INVERSE >::WaveletTransform().

virtual void itk::ProcessObject::SetNumberOfRequiredOutputs ( unsigned int _arg )

protectedvirtualinherited

Referenced by itk::AutomaticTopologyMeshSource< TOutputMesh >::AutomaticTopologyMeshSource(), itk::BalloonForceFilter< TInputMesh, TOutputMesh >::BalloonForceFilter(), itk::CoreAtomImageToDistanceMatrixProcess< TSourceImage >::CoreAtomImageToDistanceMatrixProcess(), itk::CoreAtomImageToUnaryCorrespondenceMatrixProcess< TSourceImage >::CoreAtomImageToUnaryCorrespondenceMatrixProcess(), itk::DeformableMesh3DFilter< TInputMesh, TOutputMesh >::DeformableMesh3DFilter(), itk::DeformableSimplexMesh3DFilter< TInputMesh, TOutputMesh >::DeformableSimplexMesh3DFilter(), itk::ExtensionVelocitiesImageFilter< TLevelSet, TAuxValue, VAuxDimension >::ExtensionVelocitiesImageFilter(), itk::FastMarchingExtensionImageFilter< TLevelSet, TAuxValue, VAuxDimension, TSpeedImage >::FastMarchingExtensionImageFilter(), otb::FillGapsFilter::FillGapsFilter(), otb::GeometriesSource::GeometriesSource(), itk::ImageSource< TOutputImage >::ImageSource(), itk::ImageToMeshFilter< TInputImage, TOutputMesh >::ImageToMeshFilter(), itk::MedialNodePairCorrespondenceProcess< TSourceImage >::MedialNodePairCorrespondenceProcess(), itk::MedialNodeTripletCorrespondenceProcess< TSourceImage >::MedialNodeTripletCorrespondenceProcess(), itk::MeshSource< TOutputMesh >::MeshSource(), itk::MultiScaleHessianBasedMeasureImageFilter< TInputImage, THessianImage, TOutputImage >::MultiScaleHessianBasedMeasureImageFilter(), otb::OSMDataToVectorDataGenerator::OSMDataToVectorDataGenerator(), itk::PathSource< TOutputPath >::PathSource(), itk::RegularSphereMeshSource< TOutputMesh >::RegularSphereMeshSource(), itk::watershed::Relabeler< TScalarType, TImageDimension >::Relabeler(), itk::SimplexMeshAdaptTopologyFilter< TInputMesh, TOutputMesh >::SimplexMeshAdaptTopologyFilter(), itk::SphereMeshSource< TOutputMesh >::SphereMeshSource(), itk::TriangleMeshToSimplexMeshFilter< TInputMesh, TOutputMesh >::TriangleMeshToSimplexMeshFilter(), itk::TwoOutputExampleImageFilter< TImage >::TwoOutputExampleImageFilter(), and itk::VTKPolyDataReader< TOutputMesh >::VTKPolyDataReader().

virtual void itk::ProcessObject::SetNumberOfThreads ( int _arg )

virtualinherited

Get/Set the number of threads to create when executing.

Referenced by itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivative(), itk::CannyEdgeDetectionImageFilter< TInputImage, TOutputImage >::Compute2ndDerivativePos(), and itk::FiniteDifferenceSparseImageFilter< TInputImageType, TSparseOutputImageType >::PrecalculateChange().

virtual void itk::ProcessObject::SetProgress ( float _arg )

virtualinherited

Set the execution progress of a process object. The progress is a floating number in [0,1] with 0 meaning no progress and 1 meaning the filter has completed execution. The ProgressEvent is NOT invoked.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetRandomInit ( bool _arg )

virtualinherited

void itk::Object::SetReferenceCount ( int ref )

virtualinherited

Sets the reference count (use with care)

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 347 of file itkObject.cxx.

virtual void itk::ProcessObject::SetReleaseDataBeforeUpdateFlag ( bool _arg )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released/reallocated during an Update(). In limited memory scenarios, a user may want to force the elements of a pipeline to release any bulk data that is going to be regenerated anyway during an Update() in order to control peak memory allocation. Note that this flag is different from the ReleaseDataFlag. ReleaseDataFlag manages the deallocation of a ProcessObject's bulk output data once that data has been consumed by a downstream ProcessObject. The ReleaseDataBeforeUpdateFlag manages the deallocation/reallocation of bulk data during a pipeline update to control peak memory utilization. Default value is on.

void itk::ProcessObject::SetReleaseDataFlag ( bool flag )

virtualinherited

Turn on/off the flags to control whether the bulk data belonging to the outputs of this ProcessObject are released after being used by a downstream ProcessObject. Default value is off. Another options for controlling memory utilization is the ReleaseDataBeforeUpdateFlag.

Definition at line 528 of file itkProcessObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::SetSeed ( unsigned int _arg )

virtualinherited

virtual int itk::ImageSource< TMap >::SplitRequestedRegion	(	int	i,
		int	num,
		OutputImageRegionType &	splitRegion
	)

protectedvirtualinherited

Split the output's RequestedRegion into "num" pieces, returning region "i" as "splitRegion". This method is called "num" times. The regions must not overlap. The method returns the number of pieces that the routine is capable of splitting the output RequestedRegion, i.e. return value is less than or equal to "num".

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

virtual void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::Step ( unsigned int currentIteration )

inlineprotectedvirtual

Step one iteration.

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 116 of file otbPeriodicSOM.h.

virtual void itk::ImageSource< TMap >::ThreadedGenerateData	(	const OutputImageRegionType &	outputRegionForThread,
		int	threadId
	)

protectedvirtualinherited

If an imaging filter can be implemented as a multithreaded algorithm, the filter will provide an implementation of ThreadedGenerateData(). This superclass will automatically split the output image into a number of pieces, spawn multiple threads, and call ThreadedGenerateData() in each thread. Prior to spawning threads, the BeforeThreadedGenerateData() method is called. After all the threads have completed, the AfterThreadedGenerateData() method is called. If an image processing filter cannot support threading, that filter should provide an implementation of the GenerateData() method instead of providing an implementation of ThreadedGenerateData(). If a filter provides a GenerateData() method as its implementation, then the filter is responsible for allocating the output data. If a filter provides a ThreadedGenerateData() method as its implementation, then the output memory will allocated automatically by this superclass. The ThreadedGenerateData() method should only produce the output specified by "outputThreadRegion" parameter. ThreadedGenerateData() cannot write to any other portion of the output image (as this is responsibility of a different thread).

See also:: GenerateData(), SplitRequestedRegion()

static ITK_THREAD_RETURN_TYPE itk::ImageSource< TMap >::ThreaderCallback ( void * arg )

staticprotectedinherited

Static function used as a "callback" by the MultiThreader. The threading library will call this routine for each thread, which will delegate the control to ThreadedGenerateData().

void itk::Object::UnRegister ( ) const

virtualinherited

Decrease the reference count (release by another object).

If there is a delete method, invoke it.

Reimplemented from itk::LightObject.

Definition at line 324 of file itkObject.cxx.

Referenced by itk::Object::New(), and itk::ObjectFactoryBase::UnRegisterFactory().

void itk::ProcessObject::Update ( void )

virtualinherited

Bring this filter up-to-date. Update() checks modified times against last execution times, and re-executes objects if necessary. A side effect of this method is that the whole pipeline may execute in order to bring this filter up-to-date. This method updates the currently prescribed requested region. If no requested region has been set on the output, then the requested region will be set to the largest possible region. Once the requested region is set, Update() will make sure the specified requested region is up-to-date. This is a confusing side effect to users who are just calling Update() on a filter. A first call to Update() will cause the largest possible region to be updated. A second call to Update() will update that same region. If a modification to the upstream pipeline cause a filter to have a different largest possible region, this second call to Update() will not cause the output requested region to be reset to the new largest possible region. Instead, the output requested region will be the same as the last time Update() was called. To have a filter always to produce its largest possible region, users should call UpdateLargestPossibleRegion() instead.

The following methods are used to coordinate the execution of the data processing pipeline.

Definition at line 611 of file itkProcessObject.cxx.

Referenced by otb::ImageSeriesFileReader< Image< TPixel, 2 >, Image< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< Image< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), otb::ImageSeriesFileReader< VectorImage< TPixel, 2 >, VectorImage< TInternalPixel, 2 > >::GenerateData(), itk::AutoCropLabelMapFilter< TInputImage >::GenerateOutputInformation(), itk::LabelMapMaskImageFilter< TInputImage, TOutputImage >::GenerateOutputInformation(), and itk::VoronoiSegmentationImageFilterBase< TInputImage, TOutputImage, TBinaryPriorImage >::RunSegmentOneStep().

void itk::ProcessObject::UpdateLargestPossibleRegion ( )

virtualinherited

Like Update(), but sets the output requested region to the largest possible region for the output. This is the method users should call if they want the entire dataset to be processed. If a user wants to update the same output region as a previous call to Update() or a previous call to UpdateLargestPossibleRegion(), then they should call the method Update().

Definition at line 1120 of file itkProcessObject.cxx.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor , class TSOMNeighborhoodBehaviorFunctor >

void otb::PeriodicSOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::UpdateMap	(	const NeuronType &	sample,
		double	beta,
		SizeType &	radius
	)

protectedvirtual

Update the output map with a new sample.

Parameters:

sample	The new sample to learn,
beta	The learning coefficient,
radius	The radius of the nieghbourhood.

Update the output map with a new sample.

Parameters:

sample	The new sample to learn,
beta	The learning coefficient,
radius	The radius of the neighbourhood.

Reimplemented from otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Reimplemented in otb::SOMWithMissingValue< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >.

Definition at line 43 of file otbPeriodicSOM.txx.

void itk::ProcessObject::UpdateOutputData ( DataObject * output )

virtualinherited

Actually generate new output

 prevent chasing our tail

 Prepare all the outputs. This may deallocate previous bulk data.

 Propagate the update call - make sure everything we
 might rely on is up-to-date
 Must call PropagateRequestedRegion before UpdateOutputData if multiple 
 inputs since they may lead back to the same data object.

 Cache the state of any ReleaseDataFlag's on the inputs. While the
 filter is executing, we need to set the ReleaseDataFlag's on the
 inputs to false in case the current filter is implemented using a
 mini-pipeline (which will try to release the inputs).  After the
 filter finishes, we restore the state of the ReleaseDataFlag's
 before the call to ReleaseInputs().

 Tell all Observers that the filter is starting

 GenerateData this object - we have not aborted yet, and our progress
 before we start to execute is 0.0.

 Count the number of required inputs which have been assigned

 If we ended due to aborting, push the progress up to 1.0 (since
 it probably didn't end there)

 Notify end event observers

 Now we have to mark the data as up to date.

 Restore the state of any input ReleaseDataFlags

 Release any inputs if marked for release

Reimplemented in itk::StreamingImageFilter< TInputImage, TOutputImage >.

Definition at line 908 of file itkProcessObject.cxx.

void itk::ProcessObject::UpdateOutputInformation ( void )

virtualinherited

Update the information decribing the output data. This method transverses up the pipeline gathering modified time information. On the way back down the pipeline, this method calls GenerateOutputInformation() to set any necessary information about the output data objects. For instance, a filter that shrinks an image will need to provide an implementation for GenerateOutputInformation() that changes the spacing of the pixels. Such filters should call their superclass' implementation of GenerateOutputInformation prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

 Watch out for loops in the pipeline

   Since we are in a loop, we will want to update. But if
   we don't modify this filter, then we will not execute
   because our OutputInformationMTime will be more recent than
   the MTime of our output.

 We now wish to set the PipelineMTime of each output DataObject to
 the largest of this ProcessObject's MTime, all input DataObject's
 PipelineMTime, and all input's MTime.  We begin with the MTime of
 this ProcessObject.

 Loop through the inputs

     Propagate the UpdateOutputInformation call

     What is the PipelineMTime of this input? Compare this against
     our current computation to find the largest one.

     Pipeline MTime of the input does not include the MTime of the 
     data object itself. Factor these mtimes into the next PipelineMTime

 Call GenerateOutputInformation for subclass specific information.
 Since UpdateOutputInformation propagates all the way up the pipeline,
 we need to be careful here to call GenerateOutputInformation only if
 necessary. Otherwise, we may cause this source to be modified which
 will cause it to execute again on the next update.

   Keep track of the last time GenerateOutputInformation() was called

Reimplemented in itk::watershed::Segmenter< TInputImage >, itk::watershed::Segmenter< InputImageType >, and itk::VTKImageImport< TOutputImage >.

Definition at line 664 of file itkProcessObject.cxx.

References itk::Object::GetMTime(), itk::DataObject::GetPipelineMTime(), itk::DataObject::SetPipelineMTime(), and itk::DataObject::UpdateOutputInformation().

Referenced by itk::VTKImageExportBase::UpdateInformationCallback().

void itk::ProcessObject::UpdateProgress ( float amount )

inherited

Update the progress of the process object.

Sets the Progress ivar to amount and invokes any observers for the ProgressEvent. The parameter amount should be in [0,1] and is the cumulative (not incremental) progress.

Update the progress of the process object. If a ProgressMethod exists, execute it. Then set the Progress ivar to amount. The parameter amount should range between (0,1).

Definition at line 500 of file itkProcessObject.cxx.

Referenced by itk::WatershedMiniPipelineProgressCommand::Execute(), itk::ProgressReporter::ProgressReporter(), and itk::ProgressReporter::~ProgressReporter().

Member Data Documentation

TimeStamp itk::ProcessObject::m_OutputInformationMTime

protectedinherited

Time when GenerateOutputInformation was last called.

Definition at line 421 of file itkProcessObject.h.

InternalReferenceCountType itk::LightObject::m_ReferenceCount

mutableprotectedinherited

Number of uses of this object by other objects.

Definition at line 141 of file itkLightObject.h.

SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock

mutableprotectedinherited

Mutex lock to protect modification to the reference count

Definition at line 144 of file itkLightObject.h.

bool itk::ProcessObject::m_Updating

protectedinherited

These ivars are made protected so filters like itkStreamingImageFilter can access them directly. This flag indicates when the pipeline is executing. It prevents infinite recursion when pipelines have loops.

Reimplemented in otb::ImageViewerBase< TPixel, TLabel >, and otb::HistogramAndTransferFunctionWidget< THistogram, TPixel >.

Definition at line 418 of file itkProcessObject.h.

template<class TListSample , class TMap , class TSOMLearningBehaviorFunctor = Functor::CzihoSOMLearningBehaviorFunctor, class TSOMNeighborhoodBehaviorFunctor = Functor::CzihoSOMNeighborhoodBehaviorFunctor>

const unsigned int otb::SOM< TListSample, TMap, TSOMLearningBehaviorFunctor, TSOMNeighborhoodBehaviorFunctor >::MapDimension = MapType::ImageDimension

staticinherited

Map dimension

Definition at line 86 of file otbSOM.h.

const unsigned int itk::ImageSource< TMap >::OutputImageDimension

staticinherited

ImageDimension constant

Definition at line 75 of file itkImageSource.h.

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

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Protected Types

Protected Member Functions

Static Protected Member Functions

Protected Attributes

Private Member Functions

Detailed Description

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation