Orfeo Toolbox  3.16
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes | Private Member Functions | Private Attributes
itk::ClassifierBase< TDataContainer > Class Template Reference
Pixel Classification Filters

Base class for classifier object. More...

#include <itkClassifierBase.h>

+ Inheritance diagram for itk::ClassifierBase< TDataContainer >:
+ Collaboration diagram for itk::ClassifierBase< TDataContainer >:

List of all members.

Public Types

typedef SmartPointer< const Self > ConstPointer
typedef DecisionRuleBase DecisionRuleType
typedef TDataContainer::ValueType MeasurementVectorType
typedef
MembershipFunctionType::Pointer 		MembershipFunctionPointer
typedef std::vector
< MembershipFunctionPointer > 		MembershipFunctionPointerVector
typedef
Statistics::MembershipFunctionBase
< MeasurementVectorType > 		MembershipFunctionType
typedef SmartPointer< Self > Pointer
typedef ClassifierBase Self
typedef LightProcessObject Superclass

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
unsigned int AddMembershipFunction (MembershipFunctionType *function)
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 const bool & GetAbortGenerateData ()
Command * GetCommand (unsigned long tag)
bool GetDebug () const
DecisionRuleType * GetDecisionRule (void)
const MembershipFunctionType * GetMembershipFunction (unsigned int index) const
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
virtual const unsigned int & GetNumberOfClasses ()
unsigned int GetNumberOfMembershipFunctions ()
virtual const float & GetProgress ()
virtual int GetReferenceCount () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &)
void InvokeEvent (const EventObject &) const
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 SetDecisionRule (DecisionRuleType *ptrToDecisionRule)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetNumberOfClasses (unsigned int _arg)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
virtual void UnRegister () const
void Update ()
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 ()
static void SetGlobalWarningDisplay (bool flag)

Protected Types

typedef int InternalReferenceCountType

Protected Member Functions

 ClassifierBase ()
 ~ClassifierBase ()
virtual void GenerateData ()=0
virtual void PrintHeader (std::ostream &os, Indent indent) const
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

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock

Private Member Functions

 ClassifierBase (const Self &)
void operator= (const Self &)

Private Attributes

DecisionRuleType::Pointer m_DecisionRule
MembershipFunctionPointerVector m_MembershipFunctions
unsigned int m_NumberOfClasses

Detailed Description

template<class TDataContainer>
class itk::ClassifierBase< TDataContainer >

Base class for classifier object.

ClassifierBase is the base class for the classifier objects. It provides the basic function definitions that are inherent to a classifier objects.

This is the SuperClass for the classifier framework. This is an abstract class defining an interface for all the classification objects available through the classifier framework in the ITK toolkit.

The basic functionality of the classifier framework base class is to classify each data point in given a data set to one of the N classes where N is either specified by the user or automatically determined using methods such as k-means clustering techniques.

The classifier framework supports two types of data where (1) The input is a series of data points that needs to be classified. These points may be in the form of images where the pixels can be viewed as a list and the spatial location of the pixels in not of a concern. This classification can be carried out via the use of SampleClassifier.

(2)The input is specifically an image and the pixels cannot be viewed as as a list of pixels since the spatial location of the pixel in needed for various algorithmic implementation such as Markov Random Field based approached. This type of data can be classified via the use of GeneralImageClassifierBase.

User will call The Update() function to run the classification proces

The user must generate the membership function before asking for data to be classified. One can automatically generate the membership function from the training data via the use of itkImageModelEstimator class. The membershio functions have to be populated by using the AddMembershipFunction If membership functions are not set prior to calling for classification, an exception in thrown.

As the method name indicates, you can have more than one membership function. One for each classes. The order you put the membership calculator becomes the class label for the class that is represented by the membership calculator.

The fourth argument is the type of decision rule. The main role of a decision rule is comparing the return values of the membership calculators. However, decision rule can include some prior knowledge that can improve the result. To plug in the decision rule, use SetDecisionRule method.

Before you call the Update method to start the classification process, you should plug in all necessary parts ( one or more membership functions, a decision rule, the unclassified data).

This class is templated over the container type.

Definition at line 86 of file itkClassifierBase.h.

Member Typedef Documentation

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

Reimplemented from itk::Object.

Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, otb::SVMClassifier< TSample, TLabel >, otb::SEMClassifier< TInputImage, TOutputImage >, otb::KMLVectorDataIO, otb::OGRVectorDataIO, itk::VTKImageIO2, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, otb::SVMMarginSampler< TSample, TModel >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >, itk::MetaArrayWriter, itk::MetaArrayReader, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, and itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >.

Definition at line 78 of file itkLightProcessObject.h.

template<class TDataContainer>
typedef DecisionRuleBase itk::ClassifierBase< TDataContainer >::DecisionRuleType

Type alias for decision rule

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >.

Definition at line 114 of file itkClassifierBase.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 TDataContainer>
typedef TDataContainer::ValueType itk::ClassifierBase< TDataContainer >::MeasurementVectorType

Sets the decision rule

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, otb::SVMClassifier< TSample, TLabel >, otb::SEMClassifier< TInputImage, TOutputImage >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 100 of file itkClassifierBase.h.

template<class TDataContainer>
typedef MembershipFunctionType::Pointer itk::ClassifierBase< TDataContainer >::MembershipFunctionPointer

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >.

Definition at line 108 of file itkClassifierBase.h.

template<class TDataContainer>
typedef std::vector< MembershipFunctionPointer > itk::ClassifierBase< TDataContainer >::MembershipFunctionPointerVector

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, otb::SVMClassifier< TSample, TLabel >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 111 of file itkClassifierBase.h.

template<class TDataContainer>
typedef Statistics::MembershipFunctionBase< MeasurementVectorType > itk::ClassifierBase< TDataContainer >::MembershipFunctionType

Typedefs for membership funciton

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >.

Definition at line 107 of file itkClassifierBase.h.

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

Reimplemented from itk::Object.

Reimplemented in itk::PhilipsPAR, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::Bruker2DSEQImageIO, itk::AnalyzeImageIO, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::GDCMImageIO, itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::Brains2MaskImageIO, itk::ImageIOBase, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::MINC2ImageIO, itk::StimulateImageIO, otb::VectorDataIOBase, itk::MRCImageIO, itk::PhilipsRECImageIO, otb::SVMClassifier< TSample, TLabel >, itk::VoxBoCUBImageIO, otb::TileMapImageIO, itk::GE5ImageIO, itk::GE4ImageIO, itk::GEAdwImageIO, itk::RawImageIO< TPixel, VImageDimension >, otb::SEMClassifier< TInputImage, TOutputImage >, itk::SiemensVisionImageIO, itk::IPLCommonImageIO, itk::NiftiImageIO, itk::StreamingImageIOBase, otb::GDALImageIO, otb::KMLVectorDataIO, otb::OGRVectorDataIO, itk::VTKImageIO2, otb::JPEG2000ImageIO, itk::BioRadImageIO, itk::GiplImageIO, itk::VTKImageIO, otb::BSQImageIO, otb::ONERAImageIO, itk::DicomImageIO, itk::TransformFileWriter, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, otb::LUMImageIO, otb::MWImageIO, otb::RADImageIO, itk::BMPImageIO, itk::NrrdImageIO, itk::TransformFileReader, itk::TransformIOBase, itk::LSMImageIO, itk::MetaImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, itk::TIFFImageIO, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, itk::JPEGImageIO, itk::PNGImageIO, itk::Statistics::LayerBase< TMeasurementVector, TTargetVector >, itk::Statistics::WeightSetBase< TMeasurementVector, TTargetVector >, otb::MSTARImageIO, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, otb::SVMMarginSampler< TSample, TModel >, itk::Statistics::LearningFunctionBase< LayerType, TTargetVector >, itk::Statistics::LearningFunctionBase< LayerType::LayerInterfaceType, TTargetVector >, itk::DICOMImageIO2, itk::MetaArrayWriter, itk::MetaArrayReader, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::TransformFileWriter, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::TransformFileReader, itk::MatlabTransformIO, and itk::TxtTransformIO.

Definition at line 77 of file itkLightProcessObject.h.

template<class TDataContainer>
typedef ClassifierBase itk::ClassifierBase< TDataContainer >::Self

Standard class typedefs.

Reimplemented from itk::LightProcessObject.

Reimplemented in itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, otb::SVMClassifier< TSample, TLabel >, otb::SEMClassifier< TInputImage, TOutputImage >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 90 of file itkClassifierBase.h.

template<class TDataContainer>
typedef LightProcessObject itk::ClassifierBase< TDataContainer >::Superclass

Reimplemented from itk::LightProcessObject.

Reimplemented in itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, otb::SVMClassifier< TSample, TLabel >, otb::SEMClassifier< TInputImage, TOutputImage >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 91 of file itkClassifierBase.h.

Constructor & Destructor Documentation

template<class TDataContainer >
itk::ClassifierBase< TDataContainer >::ClassifierBase ( )
protected

Definition at line 28 of file itkClassifierBase.txx.

template<class TDataContainer >
itk::ClassifierBase< TDataContainer >::~ClassifierBase ( )
protected

Definition at line 37 of file itkClassifierBase.txx.

template<class TDataContainer>
itk::ClassifierBase< TDataContainer >::ClassifierBase ( const Self &  )
private

Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff ( )
virtualinherited
virtual void itk::LightProcessObject::AbortGenerateDataOn ( )
virtualinherited

Turn on and off the AbortGenerateData flag.

template<class TDataContainer >
unsigned int itk::ClassifierBase< TDataContainer >::AddMembershipFunction ( MembershipFunctionType *  function)

Stores a membership function of a class in its internal vector

Definition at line 95 of file itkClassifierBase.txx.

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::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.

virtual::itk::LightObject::Pointer itk::LightProcessObject::CreateAnother ( void  ) const
virtualinherited

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::Object.

Reimplemented in itk::PhilipsPAR, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::Bruker2DSEQImageIO, itk::AnalyzeImageIO, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::GDCMImageIO, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::Brains2MaskImageIO, itk::IPLCommonImageIO, itk::MINC2ImageIO, itk::StimulateImageIO, otb::SVMClassifier< TSample, TLabel >, itk::MRCImageIO, itk::PhilipsRECImageIO, itk::VoxBoCUBImageIO, otb::TileMapImageIO, itk::GE5ImageIO, otb::SEMClassifier< TInputImage, TOutputImage >, itk::GE4ImageIO, itk::GEAdwImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, otb::GDALImageIO, itk::NiftiImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, otb::KMLVectorDataIO, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::TransformFileReader, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, otb::BSQImageIO, otb::OGRVectorDataIO, itk::VTKImageIO2, otb::LUMImageIO, otb::MWImageIO, otb::RADImageIO, itk::TransformFileWriter, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, otb::JPEG2000ImageIO, itk::BioRadImageIO, itk::GiplImageIO, itk::VTKImageIO, otb::ONERAImageIO, itk::BMPImageIO, itk::DicomImageIO, itk::NrrdImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::TIFFImageIO, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, otb::SVMMarginSampler< TSample, TModel >, itk::JPEGImageIO, itk::PNGImageIO, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, otb::MSTARImageIO, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::TransformFileWriter, itk::MetaArrayWriter, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::DICOMImageIO2, itk::MetaArrayReader, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::TransformFileReader, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::MatlabTransformIO, and itk::TxtTransformIO.

Referenced by itk::StreamingImageIOBase::GetActualNumberOfSplitsForWriting().

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.

template<class TDataContainer>
virtual void itk::ClassifierBase< TDataContainer >::GenerateData ( )
protectedpure virtual

The real classification logic implementaion. All the subclasses of this class should implement this method.

Reimplemented from itk::LightProcessObject.

Implemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, otb::SVMClassifier< TSample, TLabel >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, and otb::SVMMarginSampler< TSample, TModel >.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData ( )
virtualinherited

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.

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().

template<class TDataContainer>
DecisionRuleType* itk::ClassifierBase< TDataContainer >::GetDecisionRule ( void  )
inline

Gets the pointer to the decision rule being used.

Definition at line 125 of file itkClassifierBase.h.

bool itk::Object::GetGlobalWarningDisplay ( )
staticinherited

Get the value of the global debug output control flag.

Definition at line 381 of file itkObject.cxx.

template<class TDataContainer>
const MembershipFunctionType* itk::ClassifierBase< TDataContainer >::GetMembershipFunction ( unsigned int  index) const
inline

Gets the MembershipFunction that are plugged in by the AddMembershipFunction method. The index is assigned according to the order each membership function has been added using the AddMemberShipFunction method

Definition at line 134 of file itkClassifierBase.h.

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.

Referenced by otb::RenderingImageFilter< TInputImage, TOutputImage >::BeforeThreadedGenerateData(), itk::Brains2MaskImageIO::CanReadFile(), otb::DataNode< TPrecision, VDimension, TValuePrecision >::CopyFieldList(), otb::VectorImage< TPixel, VImageDimension >::CopyInformation(), otb::Image< TPixel, VImageDimension >::CopyInformation(), itk::GDCMImageIO::GetBodyPart(), itk::GDCMImageIO::GetInstitution(), itk::GDCMImageIO::GetManufacturer(), itk::GDCMImageIO::GetModality(), itk::GDCMImageIO::GetModel(), itk::GDCMImageIO::GetNumberOfSeriesInStudy(), itk::GDCMImageIO::GetNumberOfStudyRelatedSeries(), itk::GDCMImageIO::GetPatientAge(), itk::GDCMImageIO::GetPatientDOB(), itk::GDCMImageIO::GetPatientID(), itk::GDCMImageIO::GetPatientName(), itk::GDCMImageIO::GetPatientSex(), itk::GDCMImageIO::GetScanOptions(), itk::GDCMImageIO::GetStudyDate(), itk::GDCMImageIO::GetStudyDescription(), itk::GDCMImageIO::GetStudyID(), itk::GDCMImageIO::GetValueFromTag(), otb::GDALImageIO::InternalReadImageInformation(), itk::GDCMImageIO::InternalReadImageInformation(), otb::GDALImageIO::InternalWriteImageInformation(), otb::RAMDrivenAdaptativeStreamingManager< TImage >::PrepareStreaming(), itk::DICOMImageIO2::Read(), itk::DICOMImageIO2::ReadImageInformation(), itk::NrrdImageIO::ReadImageInformation(), otb::JPEG2000ImageIO::ReadImageInformation(), itk::MetaImageIO::ReadImageInformation(), itk::VoxBoCUBImageIO::ReadImageInformation(), itk::MRCImageIO::ReadImageInformation(), itk::IPLCommonImageIO::ReadImageInformation(), itk::PhilipsRECImageIO::ReadImageInformation(), itk::AnalyzeImageIO::ReadImageInformation(), itk::Bruker2DSEQImageIO::ReadImageInformation(), otb::ImageMetadataInterfaceBase::SetImage(), itk::NiftiImageIO::SetImageIOMetadataFromNIfTI(), otb::VectorDataToLabelImageFilter< TVectorData, TOutputImage >::SetOutputParametersFromImage(), itk::NrrdImageIO::Write(), itk::GDCMImageIO::Write(), and itk::PolygonGroupSpatialObjectXMLFileWriter::WriteFile().

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.

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

Return this objects modified time.

Return the modification for this object.

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

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().

template<class TDataContainer>
virtual const char* itk::ClassifierBase< TDataContainer >::GetNameOfClass ( ) const
virtual

Run-time type information (and related methods).

Reimplemented from itk::LightProcessObject.

Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, otb::SVMClassifier< TSample, TLabel >, otb::SEMClassifier< TInputImage, TOutputImage >, and otb::SVMMarginSampler< TSample, TModel >.

template<class TDataContainer>
virtual const unsigned int& itk::ClassifierBase< TDataContainer >::GetNumberOfClasses ( )
virtual

Gets the number of classes.

Reimplemented in otb::SEMClassifier< TInputImage, TOutputImage >.

template<class TDataContainer>
unsigned int itk::ClassifierBase< TDataContainer >::GetNumberOfMembershipFunctions ( )
inline

Gets the number of membership functions

Definition at line 140 of file itkClassifierBase.h.

virtual const float& itk::LightProcessObject::GetProgress ( )
virtualinherited

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
inlinevirtualinherited

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

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().

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.

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.

Reimplemented in otb::SVMModel< TValue, TLabel >, otb::SurfaceAdjacencyEffect6SCorrectionSchemeFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, otb::Accessor::VectorImageToASPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::TanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::CosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::VectorToRGBPixelAccessor< TImage::PixelType::ValueType > >, itk::ImageAdaptor< TImage, Accessor::RGBToVectorPixelAccessor< TImage::PixelType::ComponentType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToModulusPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AbsPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ShiftScalePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::LogPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToPhasePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< VectorImage< TPixelType, Dimension >, Accessor::VectorImageToImagePixelAccessor< TPixelType > >, itk::ImageAdaptor< TImage, Accessor::Log10PixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AtanPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToRealPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ComplexToImaginaryPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpNegativePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::ExpPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AcosPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::RGBToLuminancePixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::AddPixelAccessor< TImage::PixelType > >, otb::GenericRSTransform< TScalarType, NInputDimensions, NOutputDimensions >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, TBufferConverter >, otb::MeanShiftImageFilter< TInputImage, TOutputImage, TLabeledOutput, MeanShift::VectorBufferConverter >, otb::GCPsToRPCSensorModelImageFilter< TImage >, otb::Polygon< TValue >, otb::ImageRegionAdaptativeSplitter< VImageDimension >, otb::GenericInterpolateImageFunction< TInputImage, TFunction, TBoundaryCondition, TCoordRep >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, VDimension >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, otb::PolyLineParametricPathWithValue< TValue, 2 >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, otb::PhysicalToRPCSensorModelImageFilter< TImage >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >, itk::NormalizeImageFilter< TInputImage, TOutputImage >, and otb::StatisticsXMLFileReader< TMeasurementVector >.

Definition at line 297 of file itkObject.cxx.

Referenced by otb::Wrapper::InputImageListParameter::AddFromFileName(), otb::Wrapper::InputVectorDataListParameter::AddFromFileName(), otb::Wrapper::InputImageListParameter::AddImage(), otb::Wrapper::InputImageListParameter::AddNullElement(), otb::Wrapper::InputVectorDataListParameter::AddNullElement(), otb::Wrapper::StringListParameter::AddNullElement(), otb::VectorDataModel::AddPointToGeometry(), otb::Wrapper::InputVectorDataListParameter::AddVectorData(), otb::Wrapper::InputImageListParameter::ClearValue(), otb::Wrapper::InputVectorDataListParameter::ClearValue(), otb::VectorDataModel::DeleteGeometry(), otb::VectorDataModel::EndGeometry(), otb::Wrapper::InputImageListParameter::Erase(), otb::Wrapper::InputVectorDataListParameter::Erase(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), otb::ImageWidget< TInputImage >::LinearInterpolationOff(), otb::ImageWidget< TInputImage >::LinearInterpolationOn(), itk::MatrixOffsetTransformBase< TScalarType, NInputDimensions, NOutputDimensions >::MatrixOffsetTransformBase(), otb::ogr::ImageReference< double >::Modified(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetAutoMinMax(), otb::BlendingImageFilter< TInputImage1, TInputImage2, TOutputImage >::SetBlendingFunction(), otb::ImageLayerGenerator< TImageLayer >::SetBlendingFunction(), otb::TileMapImageIO::SetCacheDirectory(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetChannelList(), itk::LBFGSBOptimizer::SetCostFunction(), itk::MINC2ImageIO::SetDimensionName(), itk::ImageIOBase::SetDimensions(), itk::ImageIOBase::SetDirection(), otb::Wrapper::InputImageListParameter::SetImageList(), itk::GDCMSeriesFileNames::SetInputDirectory(), otb::HistogramStatisticsFunction< TInputHistogram, TOutput >::SetInputHistogram(), otb::ImageToGenericRSOutputParameters< TImage >::SetInputKeywordList(), otb::Wrapper::InputVectorDataListParameter::SetListFromFileName(), otb::Wrapper::InputImageListParameter::SetListFromFileName(), otb::Function::RenderingFunction< TPixel, TRGBPixel >::SetListSample(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetMatrix(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBand(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandInnerRadius(), itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::SetNarrowBandTotalRadius(), otb::Wrapper::InputImageListParameter::SetNthFileName(), otb::Wrapper::InputVectorDataListParameter::SetNthFileName(), itk::ImageIOBase::SetNumberOfDimensions(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ImageIOBase::SetOrigin(), otb::ImageToGenericRSOutputParameters< TImage >::SetOutputProjectionRef(), otb::MapProjectionAdapter::SetParameter(), otb::Function::GaussianRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), otb::Function::StandardRenderingFunction< TPixel, TRGBPixel, TPixelRepresentationFunction, TTransferFunction >::SetParameters(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), otb::ImageLayerGenerator< TImageLayer >::SetRenderingFunction(), otb::RenderingImageFilter< TInputImage, TOutputImage >::SetRenderingFunction(), itk::ImageIOBase::SetSpacing(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation(), otb::Wrapper::OutputFilenameParameter::SetValue(), otb::Wrapper::InputFilenameParameter::SetValue(), otb::Wrapper::ListViewParameter::SetValue(), otb::Wrapper::ChoiceParameter::SetValue(), otb::Wrapper::InputVectorDataListParameter::SetVectorDataList(), and otb::MapProjectionAdapter::SetWkt().

static Pointer itk::LightProcessObject::New ( )
staticinherited

Method for creation through the object factory.

Reimplemented from itk::Object.

Reimplemented in itk::PhilipsPAR, itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, itk::Bruker2DSEQImageIO, itk::AnalyzeImageIO, itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >, itk::PolygonGroupSpatialObjectXMLFileWriter, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::GDCMImageIO, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, itk::LevelSetVelocityNeighborhoodExtractor< TLevelSet, TAuxValue, VAuxDimension >, itk::LevelSetNeighborhoodExtractor< TLevelSet >, itk::Brains2MaskImageIO, itk::IPLCommonImageIO, itk::MINC2ImageIO, itk::StimulateImageIO, otb::SVMClassifier< TSample, TLabel >, itk::MRCImageIO, itk::PhilipsRECImageIO, itk::VoxBoCUBImageIO, otb::TileMapImageIO, itk::GE5ImageIO, otb::SEMClassifier< TInputImage, TOutputImage >, itk::GE4ImageIO, itk::GEAdwImageIO, itk::RawImageIO< TPixel, VImageDimension >, itk::SiemensVisionImageIO, otb::GDALImageIO, itk::NiftiImageIO, itk::PolygonGroupSpatialObjectXMLFileReader, otb::KMLVectorDataIO, itk::Statistics::ErrorBackPropagationLearningFunctionBase< LayerType, TTargetVector >, itk::TransformFileReader, itk::Statistics::ErrorBackPropagationLearningWithMomentum< LayerType, TTargetVector >, otb::BSQImageIO, otb::OGRVectorDataIO, itk::VTKImageIO2, otb::LUMImageIO, otb::MWImageIO, otb::RADImageIO, itk::TransformFileWriter, itk::Statistics::QuickPropLearningRule< LayerType, TTargetVector >, otb::JPEG2000ImageIO, itk::BioRadImageIO, itk::GiplImageIO, itk::VTKImageIO, otb::ONERAImageIO, itk::BMPImageIO, itk::DicomImageIO, itk::NrrdImageIO, itk::LSMImageIO, itk::MetaImageIO, itk::TIFFImageIO, itk::Statistics::RBFLayer< TMeasurementVector, TTargetVector >, otb::SVMMarginSampler< TSample, TModel >, itk::JPEGImageIO, itk::PNGImageIO, itk::Statistics::RBFBackPropagationLearningFunction< LayerType, TTargetVector >, otb::MSTARImageIO, itk::Statistics::TrainingFunctionBase< TSample, TTargetVector, ScalarType >, itk::TransformFileWriter, itk::MetaArrayWriter, itk::Statistics::IterativeSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::DICOMImageIO2, itk::MetaArrayReader, itk::Statistics::BatchSupervisedTrainingFunction< TSample, TTargetVector, ScalarType >, itk::TransformFileReader, itk::Statistics::BackPropagationLayer< TMeasurementVector, TTargetVector >, itk::Statistics::CompletelyConnectedWeightSet< TMeasurementVector, TTargetVector >, itk::MatlabTransformIO, and itk::TxtTransformIO.

template<class TDataContainer>
void itk::ClassifierBase< TDataContainer >::operator= ( const Self &  )
private
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 TDataContainer >
void itk::ClassifierBase< TDataContainer >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
protectedvirtual

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.

Chaining method to print an object's instance variables, as well as its superclasses.

Reimplemented from itk::LightProcessObject.

Reimplemented in otb::SEMClassifier< TInputImage, TOutputImage >, itk::ImageClassifierBase< TInputImage, TClassifiedImage >, itk::Statistics::SampleClassifier< TSample >, itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >, otb::SVMClassifier< TSample, TLabel >, itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 44 of file itkClassifierBase.txx.

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::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().

void itk::Object::RemoveAllObservers ( )
inherited

Remove all observers .

Definition at line 435 of file itkObject.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().

virtual void itk::LightProcessObject::SetAbortGenerateData ( bool  _arg)
virtualinherited

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.

Definition at line 275 of file itkObject.cxx.

template<class TDataContainer>
void itk::ClassifierBase< TDataContainer >::SetDecisionRule ( DecisionRuleType *  ptrToDecisionRule)
inline

Sets the pointer to the decision rule. Stores the decision rule that makes the real decision using informations from MembershipFunctions and other prior knowledge

Definition at line 119 of file itkClassifierBase.h.

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().

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 TDataContainer>
virtual void itk::ClassifierBase< TDataContainer >::SetNumberOfClasses ( unsigned int  _arg)
virtual

Sets the number of classes.

virtual void itk::LightProcessObject::SetProgress ( float  _arg)
virtualinherited

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.

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.

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().

template<class TDataContainer >
void itk::ClassifierBase< TDataContainer >::Update ( void  )

Starts the classification process

Reimplemented in otb::SEMClassifier< TInputImage, TOutputImage >, otb::SVMClassifier< TSample, TLabel >, and otb::SVMMarginSampler< TSample, TModel >.

Definition at line 69 of file itkClassifierBase.txx.

void itk::LightProcessObject::UpdateOutputData ( void  )
virtualinherited

Actually generate new output.

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

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

Definition at line 77 of file itkLightProcessObject.cxx.

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).

Definition at line 51 of file itkLightProcessObject.cxx.

Member Data Documentation

template<class TDataContainer>
DecisionRuleType::Pointer itk::ClassifierBase< TDataContainer >::m_DecisionRule
private

Pointer to the decision rule to be used for classification.

Definition at line 168 of file itkClassifierBase.h.

template<class TDataContainer>
MembershipFunctionPointerVector itk::ClassifierBase< TDataContainer >::m_MembershipFunctions
private

Container to hold the membership functions

Definition at line 171 of file itkClassifierBase.h.

template<class TDataContainer>
unsigned int itk::ClassifierBase< TDataContainer >::m_NumberOfClasses
private

Number of classes

Definition at line 165 of file itkClassifierBase.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.

The documentation for this class was generated from the following files:
Generated at Sun Feb 3 2013 01:21:00 for Orfeo Toolbox with doxygen 1.8.1.1