Orfeo Toolbox  3.16
Public Types | Public Member Functions | Static Public Member Functions | Protected Types | Protected Member Functions | Protected Attributes | Private Attributes
otb::SEMClassifier< TInputImage, TOutputImage > Class Template Reference

This class implements the Stochastic Expectation Maximization algorithm to perform an estimation of a mixture model. More...

#include <otbSEMClassifier.h>

+ Inheritance diagram for otb::SEMClassifier< TInputImage, TOutputImage >:
+ Collaboration diagram for otb::SEMClassifier< TInputImage, TOutputImage >:

List of all members.

Public Types

typedef unsigned int ClassLabelType
typedef std::vector
< ClassLabelType
ClassLabelVectorType
typedef
itk::Statistics::Subsample
< SampleType
ClassSampleType
typedef ComponentType::Pointer ComponentPointerType
typedef
otb::Statistics::ModelComponentBase
< ClassSampleType
ComponentType
typedef std::vector
< ComponentPointerType
ComponentVectorType
typedef itk::SmartPointer
< const Self
ConstPointer
typedef DecisionRuleBase DecisionRuleType
typedef SampleType::MeasurementType MeasurementType
typedef
SampleType::MeasurementVectorType 
MeasurementVectorType
typedef
MembershipFunctionType::Pointer 
MembershipFunctionPointer
typedef
Superclass::MembershipFunctionPointerVector 
MembershipFunctionPointerVector
typedef
Statistics::MembershipFunctionBase
< MeasurementVectorType
MembershipFunctionType
typedef
itk::Statistics::MembershipSample
< SampleType
OutputType
typedef itk::Array< double > ParameterType
typedef std::vector
< ParameterType
ParameterVectorType
typedef itk::SmartPointer< SelfPointer
typedef std::vector
< ProbaVectorType
ProbaByClassVectorType
typedef std::vector< double > ProbaVectorType
typedef std::vector< double > ProportionVectorType
typedef
itk::Statistics::ListSample
< typename
TInputImage::PixelType > 
SampleType
typedef SEMClassifier Self
typedef
itk::Statistics::SampleClassifier
< typename
itk::Statistics::ListSample
< typename
TInputImage::PixelType > > 
Superclass
enum  TerminationCodeType {
  CONVERGED = 0,
  NOT_CONVERGED = 1
}

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
int AddComponent (int id, ComponentType *component)
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 ()
ClassLabelVectorTypeGetClassLabels ()
Command * GetCommand (unsigned long tag)
int GetCurrentIteration ()
bool GetDebug () const
DecisionRuleTypeGetDecisionRule (void)
ProportionVectorTypeGetInitialProportions ()
virtual int GetMaximumIteration ()
const MembershipFunctionTypeGetMembershipFunction (unsigned int index) const
ClassLabelVectorTypeGetMembershipFunctionClassLabels ()
MetaDataDictionary & GetMetaDataDictionary (void)
const MetaDataDictionary & GetMetaDataDictionary (void) const
virtual unsigned long GetMTime () const
virtual const char * GetNameOfClass () const
int GetNeighborhood ()
unsigned int GetNumberOfClasses ()
unsigned int GetNumberOfMembershipFunctions ()
OutputTypeGetOutput ()
TOutputImage * GetOutputImage ()
virtual const float & GetProgress ()
ProportionVectorTypeGetProportions ()
virtual int GetReferenceCount () const
const TInputImage * GetSample () const
SampleTypeGetSampleList () const
virtual TerminationCodeType GetTerminationCode ()
virtual double GetTerminationThreshold ()
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 SetClassLabels (OutputType *labels)
void SetClassLabels (TOutputImage *imgLabels)
void SetDebug (bool debugFlag) const
void SetDecisionRule (DecisionRuleType *ptrToDecisionRule)
void SetInitialProportions (ProportionVectorType &propotion)
virtual void SetMaximumIteration (int _arg)
void SetMembershipFunctionClassLabels (ClassLabelVectorType &labels)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
void SetNeighborhood (int neighborhood)
virtual void SetNumberOfClasses (unsigned int _arg)
void SetNumberOfClasses (int theSize)
virtual void SetProgress (float _arg)
virtual void SetReferenceCount (int)
void SetSample (const TInputImage *sample)
void SetSample (const itk::Statistics::ListSample< TInputImage::PixelType > *sample)
virtual void SetTerminationThreshold (double _arg)
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

 SEMClassifier ()
virtual ~SEMClassifier ()
void GenerateData ()
void GetMaximumAposterioriLabels ()
void InitParameters ()
void PerformExpectationProcess ()
void PerformMaximizationProcess ()
void PerformStochasticProcess ()
virtual void PrintHeader (std::ostream &os, Indent indent) const
bool PrintObservers (std::ostream &os, Indent indent) const
void PrintSelf (std::ostream &os, itk::Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock

Private Attributes

ClassLabelVectorType m_ClassLabels
int m_ComponentDeclared
ComponentVectorType m_ComponentVector
int m_CurrentIteration
int m_ExternalLabels
ProportionVectorType m_InitialProportions
int m_MaximumIteration
int m_NbChange
int m_NbClasses
int m_NbSamples
int m_Neighborhood
OutputType::Pointer m_Output
TOutputImage::Pointer m_OutputImage
ProbaByClassVectorType m_Proba
ProportionVectorType m_Proportions
const TInputImage * m_Sample
SampleType::Pointer m_SampleList
TerminationCodeType m_TerminationCode
double m_TerminationThreshold

Detailed Description

template<class TInputImage, class TOutputImage>
class otb::SEMClassifier< TInputImage, TOutputImage >

This class implements the Stochastic Expectation Maximization algorithm to perform an estimation of a mixture model.

The first template argument is the type of the target sample data. This estimator expects one or more model component objects of the classes derived from the ModelComponentBase. The actual component (or module) parameters are updated by each component. Users can think this class as a strategy or a integration point for the SEM procedure.

The number of classes (SetNumberOfClasses), the initial proportion (SetInitialProportions), the input sample (SetSample), the model components (AddComponent), and the maximum iteration (SetMaximumIteration) are required. The SEM procedure terminates when the current iteration reaches the maximum iteration or the model parameters converge.

The difference from ExpectationMaximizationMixtureModelEstimator is that SEMClassifier include the maximum a posteriori decition on each sample. The class is to be seen as a classification and not an estimator.

Recent API changes: N/A

See also:
ModelComponentBase, GaussianModelComponent

Definition at line 43 of file otbSEMClassifier.h.


Member Typedef Documentation

template<class TInputImage , class TOutputImage >
typedef unsigned int otb::SEMClassifier< TInputImage, TOutputImage >::ClassLabelType

Type of the segmentation vector

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 69 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef std::vector<ClassLabelType> otb::SEMClassifier< TInputImage, TOutputImage >::ClassLabelVectorType
template<class TInputImage , class TOutputImage >
typedef itk::Statistics::Subsample<SampleType> otb::SEMClassifier< TInputImage, TOutputImage >::ClassSampleType

Definition at line 63 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef ComponentType::Pointer otb::SEMClassifier< TInputImage, TOutputImage >::ComponentPointerType

Definition at line 79 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef otb::Statistics::ModelComponentBase<ClassSampleType> otb::SEMClassifier< TInputImage, TOutputImage >::ComponentType

Type of the mixture model component base class. Due to the stochastic purpose, the inital list of sample (from TInputImage) is duplicated as many times as the number of classes (into SampleLists).

Definition at line 78 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef std::vector<ComponentPointerType> otb::SEMClassifier< TInputImage, TOutputImage >::ComponentVectorType

Type of the component pointer storage, one component per class

Definition at line 82 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef itk::SmartPointer<const Self> otb::SEMClassifier< TInputImage, TOutputImage >::ConstPointer
typedef DecisionRuleBase itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::DecisionRuleType
inherited

Type alias for decision rule

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 TInputImage , class TOutputImage >
typedef SampleType::MeasurementType otb::SEMClassifier< TInputImage, TOutputImage >::MeasurementType

typedefs from TSample object

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 65 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef SampleType::MeasurementVectorType otb::SEMClassifier< TInputImage, TOutputImage >::MeasurementVectorType

Sets the decision rule

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 66 of file otbSEMClassifier.h.

typedef MembershipFunctionType::Pointer itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::MembershipFunctionPointer
inherited

Definition at line 108 of file itkClassifierBase.h.

typedefs from Superclass

Reimplemented from itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 97 of file itkSampleClassifier.h.

typedef Statistics::MembershipFunctionBase< MeasurementVectorType > itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::MembershipFunctionType
inherited

Typedefs for membership funciton

Definition at line 107 of file itkClassifierBase.h.

template<class TInputImage , class TOutputImage >
typedef itk::Statistics::MembershipSample<SampleType> otb::SEMClassifier< TInputImage, TOutputImage >::OutputType

Output type for GetClassSample method

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 73 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef itk::Array<double> otb::SEMClassifier< TInputImage, TOutputImage >::ParameterType

type of the parameters needed for the component vectors

Definition at line 85 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef std::vector<ParameterType> otb::SEMClassifier< TInputImage, TOutputImage >::ParameterVectorType

Type of the parameter pointer storage, one parameter set per class

Definition at line 88 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef itk::SmartPointer<Self> otb::SEMClassifier< TInputImage, TOutputImage >::Pointer
template<class TInputImage , class TOutputImage >
typedef std::vector<ProbaVectorType> otb::SEMClassifier< TInputImage, TOutputImage >::ProbaByClassVectorType

Type of the probability values of each sample per class

Definition at line 95 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef std::vector<double> otb::SEMClassifier< TInputImage, TOutputImage >::ProbaVectorType

Definition at line 92 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef std::vector<double> otb::SEMClassifier< TInputImage, TOutputImage >::ProportionVectorType

Type of the vector of the probability values for each sample

Definition at line 91 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef itk::Statistics::ListSample<typename TInputImage::PixelType> otb::SEMClassifier< TInputImage, TOutputImage >::SampleType

TSample template argument related typedefs

Definition at line 59 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef SEMClassifier otb::SEMClassifier< TInputImage, TOutputImage >::Self

Standard class typedef

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 49 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
typedef itk::Statistics::SampleClassifier< typename itk::Statistics::ListSample<typename TInputImage::PixelType> > otb::SEMClassifier< TInputImage, TOutputImage >::Superclass

Member Enumeration Documentation

template<class TInputImage , class TOutputImage >
enum otb::SEMClassifier::TerminationCodeType

Termination status after running optimization

Enumerator:
CONVERGED 
NOT_CONVERGED 

Definition at line 146 of file otbSEMClassifier.h.


Constructor & Destructor Documentation

template<class TInputImage , class TOutputImage >
otb::SEMClassifier< TInputImage, TOutputImage >::SEMClassifier ( )
protected

Definition at line 23 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
virtual otb::SEMClassifier< TInputImage, TOutputImage >::~SEMClassifier ( )
inlineprotectedvirtual

Definition at line 165 of file otbSEMClassifier.h.


Member Function Documentation

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

Turn on and off the AbortGenerateData flag.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::AddComponent ( int  id,
ComponentType component 
)

Adds a new component (or class). Has to be called after SetNumberOfClasses

Definition at line 280 of file otbSEMClassifier.txx.

unsigned int itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::AddMembershipFunction ( MembershipFunctionType function)
inherited

Stores a membership function of a class in its internal vector

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.

template<class TInputImage , class TOutputImage >
virtual::itk::LightObject::Pointer otb::SEMClassifier< TInputImage, TOutputImage >::CreateAnother ( void  ) const
virtual

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

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

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.

void itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >::GenerateData ( void  )
protectedvirtualinherited
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.

template<class TInputImage , class TOutputImage >
SEMClassifier< TInputImage, TOutputImage >::ClassLabelVectorType & otb::SEMClassifier< TInputImage, TOutputImage >::GetClassLabels ( )

Definition at line 206 of file otbSEMClassifier.txx.

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().

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::GetCurrentIteration ( )

Gets the current iteration.

Definition at line 272 of file otbSEMClassifier.txx.

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().

DecisionRuleType* itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::GetDecisionRule ( void  )
inlineinherited

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 TInputImage , class TOutputImage >
SEMClassifier< TInputImage, TOutputImage >::ProportionVectorType * otb::SEMClassifier< TInputImage, TOutputImage >::GetInitialProportions ( )

Definition at line 85 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::GetMaximumAposterioriLabels ( )
protected
template<class TInputImage , class TOutputImage >
virtual int otb::SEMClassifier< TInputImage, TOutputImage >::GetMaximumIteration ( )
virtual
const MembershipFunctionType* itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::GetMembershipFunction ( unsigned int  index) const
inlineinherited

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.

ClassLabelVectorType& itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >::GetMembershipFunctionClassLabels ( )
inlineinherited

Gets the user given class labels

Definition at line 115 of file itkSampleClassifier.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 TInputImage , class TOutputImage >
virtual const char* otb::SEMClassifier< TInputImage, TOutputImage >::GetNameOfClass ( ) const
virtual
template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::GetNeighborhood ( )

Definition at line 68 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
unsigned int otb::SEMClassifier< TInputImage, TOutputImage >::GetNumberOfClasses ( )
virtual

Gets the number of classes.

Reimplemented from itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 291 of file otbSEMClassifier.txx.

unsigned int itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::GetNumberOfMembershipFunctions ( )
inlineinherited

Gets the number of membership functions

Definition at line 140 of file itkClassifierBase.h.

template<class TInputImage , class TOutputImage >
SEMClassifier< TInputImage, TOutputImage >::OutputType * otb::SEMClassifier< TInputImage, TOutputImage >::GetOutput ( void  )

Returns the classification result

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 322 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
TOutputImage * otb::SEMClassifier< TInputImage, TOutputImage >::GetOutputImage ( void  )

Definition at line 314 of file otbSEMClassifier.txx.

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.

template<class TInputImage , class TOutputImage >
SEMClassifier< TInputImage, TOutputImage >::ProportionVectorType * otb::SEMClassifier< TInputImage, TOutputImage >::GetProportions ( )

Gets the result proportion values

Definition at line 214 of file otbSEMClassifier.txx.

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

Gets the reference count on this object.

Definition at line 105 of file itkLightObject.h.

template<class TInputImage , class TOutputImage >
const TInputImage * otb::SEMClassifier< TInputImage, TOutputImage >::GetSample ( ) const

Returns the target data

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 256 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
SEMClassifier< TInputImage, TOutputImage >::SampleType * otb::SEMClassifier< TInputImage, TOutputImage >::GetSampleList ( ) const

Definition at line 264 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
virtual TerminationCodeType otb::SEMClassifier< TInputImage, TOutputImage >::GetTerminationCode ( )
virtual

Gets the termination status

template<class TInputImage , class TOutputImage >
virtual double otb::SEMClassifier< TInputImage, TOutputImage >::GetTerminationThreshold ( )
virtual
static void itk::Object::GlobalWarningDisplayOff ( )
inlinestaticinherited
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.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::InitParameters ( )
protected

Initialize the first segmentation, either randomly or by using a ClassLabelVectorType given in SetClassLabels.

Definition at line 330 of file otbSEMClassifier.txx.

References otbMsgDebugMacro, and otbMsgDevMacro.

void itk::Object::InvokeEvent ( const EventObject event)
inherited
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().

template<class TInputImage , class TOutputImage >
static Pointer otb::SEMClassifier< TInputImage, TOutputImage >::New ( )
static

Method for creation through the object factory.

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::PerformExpectationProcess ( )
protected

Estimation part of the SEM

Definition at line 463 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::PerformMaximizationProcess ( )
protected

Maximization part of the SEM. This method should be upgraded this a contextual point of view... It required to a Neighborhood knowledge into the TSample type...

Definition at line 517 of file otbSEMClassifier.txx.

References itk::Statistics::ListSample< TMeasurementVector >::ConstIterator::GetInstanceIdentifier(), and itk::Statistics::ListSample< TMeasurementVector >::ConstIterator::GetMeasurementVector().

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::PerformStochasticProcess ( )
protected

Stochastic part of the SEM

Definition at line 419 of file otbSEMClassifier.txx.

References otbMsgDebugMacro.

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 TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::PrintSelf ( std::ostream &  os,
itk::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::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 44 of file otbSEMClassifier.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.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetClassLabels ( OutputType labels)

Set/Gets the initial segmentation. the size of the vector should be the same as the number of samples (length of MeasurementVector)

Definition at line 93 of file otbSEMClassifier.txx.

References itk::Statistics::MembershipSample< TSample >::Begin(), itk::Statistics::MembershipSample< TSample >::End(), itk::Statistics::MembershipSample< TSample >::ConstIterator::GetClassLabel(), NULL, otbMsgDebugMacro, and itk::Statistics::MembershipSample< TSample >::Size().

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetClassLabels ( TOutputImage *  imgLabels)
void itk::Object::SetDebug ( bool  debugFlag) const
inherited

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

Definition at line 275 of file itkObject.cxx.

void itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::SetDecisionRule ( DecisionRuleType ptrToDecisionRule)
inlineinherited

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().

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetInitialProportions ( ProportionVectorType propotion)

Set/Gets the initial proportion values. The size of proportion vector should be same as the number of component (or classes). Choose between SetInitialProportions, SetClassLabels or SetNumberOfComponents

Definition at line 76 of file otbSEMClassifier.txx.

template<class TInputImage , class TOutputImage >
virtual void otb::SEMClassifier< TInputImage, TOutputImage >::SetMaximumIteration ( int  _arg)
virtual

Set/Gets the maximum number of iterations. When the optimization process reaches the maximum number of interations, even if the class parameters aren't converged, the optimization process stops.

void itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >::SetMembershipFunctionClassLabels ( ClassLabelVectorType labels)
inherited

Sets the user given class labels for membership functions. If users do not provide class labels for membership functions by calling this function, then the index of the membership function vector for a membership function will be used as class label of measurement vectors belong to the membership function

void itk::Object::SetMetaDataDictionary ( const MetaDataDictionary rhs)
inherited
template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetNeighborhood ( int  neighborhood)

Set/Gets the neighborhood to take into consideration in the contextual decision rule. Should be odd (def. 3).

Definition at line 59 of file otbSEMClassifier.txx.

virtual void itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >::SetNumberOfClasses ( unsigned int  _arg)
virtualinherited

Sets the number of classes.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetNumberOfClasses ( int  theSize)

Sets/Gets the total number of classes currently plugged in.

Definition at line 299 of file otbSEMClassifier.txx.

References otbMsgDebugMacro.

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.

template<class TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::SetSample ( const TInputImage *  sample)

Sets the target data that will be classified by this

Definition at line 222 of file otbSEMClassifier.txx.

References itk::ImageRegionConstIterator< TImage >::GoToBegin(), and itk::ImageRegionConstIterator< TImage >::GoToEnd().

void itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >::SetSample ( const itk::Statistics::ListSample< TInputImage::PixelType > *  sample)
inherited

Sets the target data that will be classified by this

template<class TInputImage , class TOutputImage >
virtual void otb::SEMClassifier< TInputImage, TOutputImage >::SetTerminationThreshold ( double  _arg)
virtual

Set/Get the termination threshold (ratio of the number of sample that change affected class during interation over the total number of samples (def is 1E-5)

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 TInputImage , class TOutputImage >
void otb::SEMClassifier< TInputImage, TOutputImage >::Update ( void  )

Runs the optimization process.

Reimplemented from itk::ClassifierBase< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 638 of file otbSEMClassifier.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 TInputImage , class TOutputImage >
ClassLabelVectorType otb::SEMClassifier< TInputImage, TOutputImage >::m_ClassLabels
private

User given class labels for membership functions

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 200 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_ComponentDeclared
private

Definition at line 203 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
ComponentVectorType otb::SEMClassifier< TInputImage, TOutputImage >::m_ComponentVector
private

Definition at line 196 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_CurrentIteration
private

Definition at line 190 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_ExternalLabels
private

Definition at line 202 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
ProportionVectorType otb::SEMClassifier< TInputImage, TOutputImage >::m_InitialProportions
private

Definition at line 197 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_MaximumIteration
private

Definition at line 189 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_NbChange
private

Definition at line 191 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_NbClasses
private

Definition at line 188 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_NbSamples
private

Definition at line 185 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
int otb::SEMClassifier< TInputImage, TOutputImage >::m_Neighborhood
private

Definition at line 193 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
OutputType::Pointer otb::SEMClassifier< TInputImage, TOutputImage >::m_Output
private

Output pointer (MembershipSample)

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 206 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
TOutputImage::Pointer otb::SEMClassifier< TInputImage, TOutputImage >::m_OutputImage
private

Definition at line 205 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
ProbaByClassVectorType otb::SEMClassifier< TInputImage, TOutputImage >::m_Proba
private

Definition at line 199 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
ProportionVectorType otb::SEMClassifier< TInputImage, TOutputImage >::m_Proportions
private

Definition at line 198 of file otbSEMClassifier.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.

template<class TInputImage , class TOutputImage >
const TInputImage* otb::SEMClassifier< TInputImage, TOutputImage >::m_Sample
private

Target data sample pointer

Reimplemented from itk::Statistics::SampleClassifier< itk::Statistics::ListSample< TInputImage::PixelType > >.

Definition at line 184 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
SampleType::Pointer otb::SEMClassifier< TInputImage, TOutputImage >::m_SampleList
private

Definition at line 186 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
TerminationCodeType otb::SEMClassifier< TInputImage, TOutputImage >::m_TerminationCode
private

Definition at line 195 of file otbSEMClassifier.h.

template<class TInputImage , class TOutputImage >
double otb::SEMClassifier< TInputImage, TOutputImage >::m_TerminationThreshold
private

Definition at line 192 of file otbSEMClassifier.h.


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

Generated at Sun Feb 3 2013 04:09:15 for Orfeo Toolbox with doxygen 1.8.1.1