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itk::LightProcessObject Class Reference
[ITK System ObjectsData Processing Objects]

#include <itkLightProcessObject.h>

Inheritance diagram for itk::LightProcessObject:

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Collaboration diagram for itk::LightProcessObject:

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List of all members.

Detailed Description

LightProcessObject is the base class for all process objects (source, filters, mappers) in the Insight data processing pipeline.

LightProcessObject is an abstract object that specifies behavior and interface of visualization network process objects (sources, filters, mappers). Source objects are creators of visualization data; filters input, process, and output visualization data; and mappers transform data into another form (like rendering primitives or write data to a file).

A major role of LightProcessObject is to define the inputs and outputs of a filter. More than one input and/or output may exist for a given filter. Some classes (e.g., source objects or mapper objects) will not use inputs (the source) or outputs (mappers). In this case, the inputs or outputs is just ignored.

LightProcessObject invokes the following events: , Command::StartEvent, Command::EndEvent These are convenience events you can use for any purpose (e.g., debugging info, highlighting/notifying user interface, etc.) See Command and LightObject for information on using AddObserver.

Another event Command::ProgressEvent can be observed. Some filters invoke this event periodically during their execution (with the progress, parameter, the fraction of work done). The use is similar to that of StartEvent and EndEvent. Filters may also check their AbortGenerateData flag to determine whether to prematurally end their execution.

An important feature of subclasses of LightProcessObject is that it is possible to control the memory-management model (i.e., retain output versus delete output data). If enabled the ReleaseDataFlag enables the deletion of the output data once the downstream process object finishes processing the data (please see text).

Subclasses of LightProcessObject may override 4 of the methods of this class to control how a given filter may interact with the pipeline (dataflow). These methods are: GenerateOutputInformation(), EnlargeOutputRequestedRegion(), GenerateInputRequestedRegion(), and GenerateOutputRequestedRegion(). By overriding these methods, a filter can deviate from the base assumptions of the pipeline execution model.

Definition at line 71 of file itkLightProcessObject.h.

Public Types

typedef SmartPointer< const
Self
ConstPointer
typedef SmartPointer< SelfPointer
typedef LightProcessObject Self
typedef Object Superclass

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
Get the execution progress
of a process object The progress
is *a floating number 
between (0, 1)
Set the execution progress
of a process object The progress
is *a floating number 
between (0, 1)
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
meaning *the filter has completed
execution *virtual const float & 
GetProgress ()
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
meaning *the filter has completed
execution *virtual void 
SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
virtual void UpdateOutputData ()
void UpdateProgress (float amount)

Static Public Member Functions

static void BreakOnError ()
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static Pointer New ()
This is a global flag that
controls whether any warning
*or error messages are displayed
*static void 
SetGlobalWarningDisplay (bool flag)

Public Attributes

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 unsigned lon 
AddObserver )(const EventObject &event, Command *) const
This is a global flag that
controls whether any 
debug
Get the execution progress
of a process object The progress
is *a floating number meaning
no 
progress
Set the execution progress
of a process object The progress
is *a floating number meaning
no 
progress

Protected Member Functions

virtual void GenerateData ()
 LightProcessObject ()
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
 ~LightProcessObject ()

Protected Attributes

int m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock
Methods invoked by virtual
Print() to print information
about the object *including
superclasses.Typically not
called by the user(use Print()*instead) but used in the
hierarchical print process
to combine the *output of
several classes.*/virtual
void PrintSelf(std voi 
PrintHeader )(std::ostream &os, Indent indent) const


Member Typedef Documentation

typedef SmartPointer<const Self> itk::LightProcessObject::ConstPointer
 

Reimplemented from itk::Object.

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, and itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.

Definition at line 78 of file itkLightProcessObject.h.

typedef SmartPointer<Self> itk::LightProcessObject::Pointer
 

Reimplemented from itk::Object.

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::ImageIOBase, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, and itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.

Definition at line 77 of file itkLightProcessObject.h.

typedef LightProcessObject itk::LightProcessObject::Self
 

Standard class typedefs.

Reimplemented from itk::Object.

Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::ImageIOBase, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.

Definition at line 75 of file itkLightProcessObject.h.

typedef Object itk::LightProcessObject::Superclass
 

Reimplemented from itk::Object.

Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::ImageIOBase, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.

Definition at line 76 of file itkLightProcessObject.h.


Constructor & Destructor Documentation

itk::LightProcessObject::LightProcessObject  )  [protected]
 

itk::LightProcessObject::~LightProcessObject  )  [protected]
 


Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff  )  [virtual]
 

virtual void itk::LightProcessObject::AbortGenerateDataOn  )  [virtual]
 

Turn on and off the AbortGenerateData flag.

Get the execution progress of a process object The progress is* a floating number itk::LightProcessObject::between ,
 

Set the execution progress of a process object The progress is* a floating number itk::LightProcessObject::between ,
 

static void itk::LightObject::BreakOnError  )  [static, inherited]
 

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

virtual LightObject::Pointer itk::Object::CreateAnother  )  const [virtual, inherited]
 

Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.

Reimplemented from itk::LightObject.

virtual void itk::Object::DebugOff  )  const [virtual, inherited]
 

Turn debugging output off.

virtual void itk::Object::DebugOn  )  const [virtual, inherited]
 

Turn debugging output on.

virtual void itk::LightObject::Delete  )  [virtual, inherited]
 

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

virtual void itk::LightProcessObject::GenerateData void   )  [inline, protected, virtual]
 

This method causes the filter to generate its output.

Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.

Definition at line 123 of file itkLightProcessObject.h.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData  )  [virtual]
 

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

Command* itk::Object::GetCommand unsigned long  tag  )  [inherited]
 

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

bool itk::Object::GetDebug  )  const [inherited]
 

Get the value of the debug flag.

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

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

Returns:
A constant reference to this objects MetaDataDictionary.

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

Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.

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

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::SceneSpatialObject< SpaceDimension >, and itk::SceneSpatialObject< NDimensions >.

virtual const char* itk::LightProcessObject::GetNameOfClass  )  const [virtual]
 

Run-time type information (and related methods).

Reimplemented from itk::Object.

Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::ImageIOBase, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.

meaning* the filter has completed execution* virtual const float& itk::LightProcessObject::GetProgress  )  [virtual]
 

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

Gets the reference count on this object.

Definition at line 98 of file itkLightObject.h.

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

bool itk::Object::HasObserver const EventObject event  )  const [inherited]
 

Return true if an observer is registered for this event.

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

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

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

Call Execute on all the Commands observing this event id.

virtual void itk::Object::Modified  )  const [virtual, inherited]
 

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

Referenced by itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< typename ComponentType::HistogramType >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

static Pointer itk::LightProcessObject::New  )  [static]
 

Method for creation through the object factory.

Reimplemented from itk::Object.

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DicomImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GE4ImageIO, itk::GE5ImageIO, itk::GEAdwImageIO, itk::GiplImageIO, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::SampleClassifier< TSample >, and itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.

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

Cause the object to print itself out.

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

void itk::LightProcessObject::PrintSelf std::ostream &  os,
Indent  indent
const [protected, virtual]
 

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

Reimplemented from itk::Object.

Reimplemented in itk::ClassifierBase< TDataContainer >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::AnalyzeImageIO, itk::BioRadImageIO, itk::BMPImageIO, itk::Brains2MaskImageIO, itk::DICOMImageIO2, itk::GDCMImageIO, itk::GiplImageIO, itk::ImageIOBase, itk::IPLCommonImageIO, itk::JPEGImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::StimulateImageIO, itk::TIFFImageIO, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TVector, TOutput >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TVector, TOutput >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TOutput >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TOutput >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TOutput, ScalarType >, itk::Statistics::LayerBase< TVector, TOutput >, itk::Statistics::LearningFunctionBase< LayerType, TOutput >, itk::Statistics::QuickPropLearningRule< LayerType, TOutput >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TOutput >, itk::Statistics::RBFLayer< TVector, TOutput >, itk::Statistics::TrainingFunctionBase< TSample, TOutput, ScalarType >, itk::Statistics::WeightSetBase< TVector, TOutput >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::ClassifierBase< TInputImage >, and itk::ClassifierBase< TSample >.

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

virtual void itk::Object::Register  )  const [virtual, inherited]
 

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

Reimplemented from itk::LightObject.

void itk::Object::RemoveAllObservers  )  [inherited]
 

Remove all observers .

void itk::Object::RemoveObserver unsigned long  tag  )  [inherited]
 

Remove the observer with this tag value.

virtual void itk::LightProcessObject::SetAbortGenerateData bool  _arg  )  [virtual]
 

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

void itk::Object::SetDebug bool  debugFlag  )  const [inherited]
 

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

This is a global flag that controls whether any warning* or error messages are displayed* static void itk::Object::SetGlobalWarningDisplay bool  flag  )  [static, inherited]
 

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

void itk::Object::SetMetaDataDictionary const MetaDataDictionary rhs  )  [inherited]
 

Returns:
Set the MetaDataDictionary

meaning* the filter has completed execution* virtual void itk::LightProcessObject::SetProgress float  _arg  )  [virtual]
 

virtual void itk::Object::SetReferenceCount int   )  [virtual, inherited]
 

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

virtual void itk::Object::UnRegister  )  const [virtual, inherited]
 

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

virtual void itk::LightProcessObject::UpdateOutputData  )  [virtual]
 

Actually generate new output.

void itk::LightProcessObject::UpdateProgress float  amount  ) 
 

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


Member Data Documentation

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

This is a global flag that controls whether any itk::Object::debug [inherited]
 

Definition at line 94 of file itkObject.h.

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

Number of uses of this object by other objects.

Definition at line 119 of file itkLightObject.h.

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

Mutex lock to protect modification to the reference count

Definition at line 122 of file itkLightObject.h.

Methods invoked by virtual Print () to print information about the object * including superclasses. Typically not called by the user (use Print() * instead) but used in the hierarchical print process to combine the * output of several classes. */ virtual void PrintSelf(std voi itk::LightObject::PrintHeader)(std::ostream &os, Indent indent) const [protected, inherited]
 

Get the execution progress of a process object The progress is* a floating number meaning no itk::LightProcessObject::progress
 

Definition at line 104 of file itkLightProcessObject.h.

Set the execution progress of a process object The progress is* a floating number meaning no itk::LightProcessObject::progress
 

Definition at line 98 of file itkLightProcessObject.h.


The documentation for this class was generated from the following file:
Generated at Sun Jul 9 20:35:06 2006 for ITK by doxygen 1.4.2 written by Dimitri van Heesch, © 1997-2000