#include <itkXMLFile.h>
Inheritance diagram for itk::XMLReader< T >:
Definition at line 79 of file itkXMLFile.h.
Public Types | |
typedef SmartPointer< const Self > | ConstPointer |
typedef SmartPointer< Self > | Pointer |
typedef LightProcessObject | Self |
typedef Object | Superclass |
Public Member Functions | |
virtual void | AbortGenerateDataOff () |
virtual void | AbortGenerateDataOn () |
virtual int | CanReadFile (const char *name)=0 |
virtual void | CharacterDataHandler (const char *inData, int inLength)=0 |
virtual LightObject::Pointer | CreateAnother () const |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
virtual void | Delete () |
virtual void | EndElement (const char *name)=0 |
virtual void | GenerateOutputInformation () |
virtual const bool & | GetAbortGenerateData () |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
virtual const char * | GetFilename () const |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
virtual unsigned long | GetMTime () const |
virtual const char * | GetNameOfClass () const |
T * | GetOutputObject (void) |
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 |
virtual void | SetFilename (const char *_arg) |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
void | SetOutputObject (T *obj) |
virtual void | SetReferenceCount (int) |
virtual void | StartElement (const char *name, const char **atts)=0 |
virtual void | UnRegister () const |
virtual void | UpdateOutputData () |
void | UpdateProgress (float amount) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
unsigned long | AddObserver (const EventObject &event, Command *) |
virtual const float & | GetProgress () |
virtual void | SetProgress (float _arg) |
Static Public Member Functions | |
static void | BreakOnError () |
static Pointer | New () |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOff () |
static void | GlobalWarningDisplayOn () |
static void | SetGlobalWarningDisplay (bool flag) |
Protected Member Functions | |
virtual void | GenerateData () |
void | parse (void) |
bool | PrintObservers (std::ostream &os, Indent indent) const |
void | PrintSelf (std::ostream &os, Indent indent) const |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Protected Attributes | |
std::string | m_Filename |
T * | m_OutputObject |
volatile int | m_ReferenceCount |
SimpleFastMutexLock | m_ReferenceCountLock |
typedef SmartPointer<const Self> itk::LightProcessObject::ConstPointer [inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
Definition at line 78 of file itkLightProcessObject.h.
typedef SmartPointer<Self> itk::LightProcessObject::Pointer [inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MatlabTransformIO, itk::MINC2ImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::TransformIOBase, itk::TxtTransformIO, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
Definition at line 77 of file itkLightProcessObject.h.
typedef LightProcessObject itk::LightProcessObject::Self [inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MatlabTransformIO, itk::MINC2ImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::TransformIOBase, itk::TxtTransformIO, itk::ClassifierBase< TInputImage >, itk::ClassifierBase< TSample >, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
Definition at line 75 of file itkLightProcessObject.h.
typedef Object itk::LightProcessObject::Superclass [inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MatlabTransformIO, itk::MINC2ImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::TransformIOBase, itk::TxtTransformIO, itk::ClassifierBase< TInputImage >, itk::ClassifierBase< TSample >, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
Definition at line 76 of file itkLightProcessObject.h.
virtual void itk::LightProcessObject::AbortGenerateDataOff | ( | ) | [virtual, inherited] |
virtual void itk::LightProcessObject::AbortGenerateDataOn | ( | ) | [virtual, inherited] |
Turn on and off the AbortGenerateData flag.
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | const [inherited] |
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | [inherited] |
Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects
static void itk::LightObject::BreakOnError | ( | ) | [static, inherited] |
This method is called when itkExceptionMacro executes. It allows the debugger to break on error.
virtual int itk::XMLReaderBase::CanReadFile | ( | const char * | name | ) | [pure virtual, inherited] |
determine whether a file can be opened and read
Implemented in itk::PolygonGroupSpatialObjectXMLFileReader.
virtual void itk::XMLReaderBase::CharacterDataHandler | ( | const char * | inData, | |
int | inLength | |||
) | [pure virtual, inherited] |
Callback function -- called from XML parser with the character data for an XML element
Implemented in itk::PolygonGroupSpatialObjectXMLFileReader.
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::XMLReaderBase::EndElement | ( | const char * | name | ) | [pure virtual, inherited] |
Callback function -- called from XML parser when ending tag encountered
Implemented in itk::PolygonGroupSpatialObjectXMLFileReader.
virtual void itk::LightProcessObject::GenerateData | ( | void | ) | [inline, protected, virtual, inherited] |
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 void itk::XMLReaderBase::GenerateOutputInformation | ( | ) | [virtual, inherited] |
do the actual parsing of the input file
virtual const bool& itk::LightProcessObject::GetAbortGenerateData | ( | ) | [virtual, inherited] |
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.
virtual const char* itk::XMLReaderBase::GetFilename | ( | ) | const [virtual, inherited] |
Get the filename to write
static bool itk::Object::GetGlobalWarningDisplay | ( | ) | [static, inherited] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.
Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().
virtual const char* itk::LightProcessObject::GetNameOfClass | ( | ) | const [virtual, inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MatlabTransformIO, itk::MINC2ImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::TransformIOBase, itk::TxtTransformIO, itk::ClassifierBase< TInputImage >, itk::ClassifierBase< TSample >, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
T* itk::XMLReader< T >::GetOutputObject | ( | void | ) | [inline] |
Get the output object, after an XML File has been successfully parsed.
Definition at line 90 of file itkXMLFile.h.
virtual const float& itk::LightProcessObject::GetProgress | ( | ) | [virtual, inherited] |
Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
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] |
static void itk::Object::GlobalWarningDisplayOn | ( | ) | [inline, static, inherited] |
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.
Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, itk::Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AddPixelAccessor< TImage::PixelType > >, itk::ImageAdaptor< itk::VectorImage< TPixelType, Dimension >, itk::Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, itk::PixelAccessor< TInternalType, TExternalType > >, itk::ImageAdaptor< TImage, itk::Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, itk::Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, itk::Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, and itk::ImageAdaptor< TImage, itk::Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >.
Referenced by itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), itk::HistogramAlgorithmBase< TInputHistogram >::SetInputHistogram(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, itk::Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints1(), itk::CollidingFrontsImageFilter< TInputImage, TOutputImage >::SetSeedPoints2(), itk::NonUniformBSpline< TDimension >::SetSplineOrder(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().
static Pointer itk::LightProcessObject::New | ( | ) | [static, inherited] |
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::MetaArrayReader, itk::MetaArrayWriter, itk::MetaImageIO, itk::NiftiImageIO, itk::NrrdImageIO, itk::PNGImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, itk::StimulateImageIO, itk::TIFFImageIO, itk::TransformFileReader, itk::TransformFileWriter, itk::VTKImageIO, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MatlabTransformIO, itk::MINC2ImageIO, itk::TransformFileReader, itk::TransformFileWriter, and itk::TxtTransformIO.
void itk::XMLReaderBase::parse | ( | void | ) | [protected, inherited] |
Instantiates and invokes the XML parser for the file named by m_Filename. The parser will throw an exception in the case of XML syntax errors, missing filenames, unreadable input file, etc.
void itk::LightObject::Print | ( | std::ostream & | os, | |
Indent | indent = 0 | |||
) | const [inherited] |
Cause the object to print itself out.
Referenced by itk::WeakPointer< itk::ProcessObject >::Print().
virtual void itk::LightObject::PrintHeader | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, inherited] |
void itk::LightProcessObject::PrintSelf | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
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< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::MINC2ImageIO, itk::TransformIOBase, itk::ClassifierBase< TInputImage >, itk::ClassifierBase< TSample >, and itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >.
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, inherited] |
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.
virtual void itk::XMLReaderBase::SetFilename | ( | const char * | _arg | ) | [virtual, inherited] |
Set the filename to write
static void itk::Object::SetGlobalWarningDisplay | ( | bool | flag | ) | [static, inherited] |
This is a global flag that controls whether any debug, warning or error messages are displayed.
Referenced by itk::Object::GlobalWarningDisplayOff(), and itk::Object::GlobalWarningDisplayOn().
void itk::Object::SetMetaDataDictionary | ( | const MetaDataDictionary & | rhs | ) | [inherited] |
void itk::XMLReader< T >::SetOutputObject | ( | T * | obj | ) | [inline] |
Set the output object. Doesn't make sense for a client of the XMLReader, but could be used in derived class to assign pointer to result object.
Definition at line 86 of file itkXMLFile.h.
virtual void itk::LightProcessObject::SetProgress | ( | float | _arg | ) | [virtual, inherited] |
Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.
virtual void itk::Object::SetReferenceCount | ( | int | ) | [virtual, inherited] |
Sets the reference count (use with care)
Reimplemented from itk::LightObject.
virtual void itk::XMLReaderBase::StartElement | ( | const char * | name, | |
const char ** | atts | |||
) | [pure virtual, inherited] |
Callback function -- called from XML parser with start-of-element information.
Implemented in itk::PolygonGroupSpatialObjectXMLFileReader.
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, inherited] |
Actually generate new output.
void itk::LightProcessObject::UpdateProgress | ( | float | amount | ) | [inherited] |
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).
std::string itk::XMLReaderBase::m_Filename [protected, inherited] |
Definition at line 70 of file itkXMLFile.h.
T* itk::XMLReader< T >::m_OutputObject [protected] |
volatile int itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 119 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 122 of file itkLightObject.h.