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itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample > Class Template Reference

Integration point for MembershipCalculator, DecisionRule, and target sample data. This class is functionally identical to the SampleClassifier, except that users can perform only part of the input sample that belongs to the subset of classes. More...

#include <itkSampleClassifierWithMask.h>

Inheritance diagram for itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >:
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Collaboration diagram for itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >:
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List of all members.

Public Types

typedef Superclass::ClassLabelType ClassLabelType
typedef
Superclass::ClassLabelVectorType 
ClassLabelVectorType
typedef SmartPointer< const SelfConstPointer
typedef DecisionRuleBase DecisionRuleType
typedef TSample::MeasurementType MeasurementType
typedef
TSample::MeasurementVectorType 
MeasurementVectorType
typedef
MembershipFunctionType::Pointer 
MembershipFunctionPointer
typedef
Superclass::MembershipFunctionPointerVector 
MembershipFunctionPointerVector
typedef
Statistics::MembershipFunctionBase
< MeasurementVectorType
MembershipFunctionType
typedef Superclass::OutputType OutputType
typedef SmartPointer< SelfPointer
typedef SampleClassifierWithMask Self
typedef SampleClassifier< TSample > Superclass

Public Member Functions

virtual void AbortGenerateDataOff ()
virtual void AbortGenerateDataOn ()
unsigned int AddMembershipFunction (MembershipFunctionType *function)
virtual LightObject::Pointer CreateAnother () const
virtual void DebugOff () const
virtual void DebugOn () const
virtual void Delete ()
virtual const bool & GetAbortGenerateData ()
CommandGetCommand (unsigned long tag)
bool GetDebug () const
DecisionRuleTypeGetDecisionRule (void)
TMaskSample * GetMask ()
const MembershipFunctionTypeGetMembershipFunction (unsigned int index) const
ClassLabelVectorTypeGetMembershipFunctionClassLabels ()
const MetaDataDictionaryGetMetaDataDictionary (void) const
MetaDataDictionaryGetMetaDataDictionary (void)
virtual unsigned long GetMTime () const
virtual const unsigned int & GetNumberOfClasses ()
unsigned int GetNumberOfMembershipFunctions ()
OutputTypeGetOutput ()
virtual int GetReferenceCount () const
const TSample * GetSample () const
bool HasObserver (const EventObject &event) const
void InvokeEvent (const EventObject &) const
void InvokeEvent (const EventObject &)
virtual void Modified () const
void Print (std::ostream &os, Indent indent=0) const
virtual void Register () const
void RemoveAllObservers ()
void RemoveObserver (unsigned long tag)
virtual void SetAbortGenerateData (bool _arg)
void SetDebug (bool debugFlag) const
void SetDecisionRule (DecisionRuleType *ptrToDecisionRule)
void SetMask (TMaskSample *mask)
void SetMembershipFunctionClassLabels (ClassLabelVectorType &labels)
void SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void SetNumberOfClasses (unsigned int _arg)
void SetOtherClassLabel (ClassLabelType label)
virtual void SetReferenceCount (int)
void SetSample (const TSample *sample)
void SetSelectedClassLabels (ClassLabelVectorType &labels)
virtual void UnRegister () const
void Update ()
virtual void UpdateOutputData ()
void UpdateProgress (float amount)



virtual const float & GetProgress ()
virtual void SetProgress (float _arg)

Static Public Member Functions

static void BreakOnError ()

Protected Member Functions

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

Protected Attributes

InternalReferenceCountType m_ReferenceCount
SimpleFastMutexLock m_ReferenceCountLock



unsigned long AddObserver (const EventObject &event, Command *) const
unsigned long AddObserver (const EventObject &event, Command *)
static bool GetGlobalWarningDisplay ()
static void GlobalWarningDisplayOff ()
static void GlobalWarningDisplayOn ()
static void SetGlobalWarningDisplay (bool flag)



virtual const char * GetNameOfClass () const
static Pointer New ()



virtual void PrintHeader (std::ostream &os, Indent indent) const
virtual void PrintTrailer (std::ostream &os, Indent indent) const
typedef int InternalReferenceCountType

Detailed Description

template<class TSample, class TMaskSample>
class itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >

Integration point for MembershipCalculator, DecisionRule, and target sample data. This class is functionally identical to the SampleClassifier, except that users can perform only part of the input sample that belongs to the subset of classes.

To this purpose, this class needs a class mask sample that has class labels as measurement vectors. Using SetMask method, users can provide the class mask sample.

To specify which classes should be included for classification, users must call SetSelectedClassLabels method with class labels that will be included. All measurement vectors that belong to the non-selected classes will be classified to the class label that has been given by the SetOtherClassLabel method.

Except for the modifications mentioned above, the basic behavior and methods are identical to those of SampleClassifier.

Recent API changes: The static const macro to get the length of a measurement vector, MeasurementVectorSize has been removed to allow the length of a measurement vector to be specified at run time. Please use the function GetMeasurementVectorSize() instead.

See also:
SampleClassifier

Definition at line 60 of file itkSampleClassifierWithMask.h.


Member Typedef Documentation

template<class TSample , class TMaskSample >
typedef Superclass::ClassLabelType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelType

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 77 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef Superclass::ClassLabelVectorType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ClassLabelVectorType

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 78 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef SmartPointer<const Self> itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::ConstPointer

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 68 of file itkSampleClassifierWithMask.h.

typedef DecisionRuleBase itk::ClassifierBase< TSample >::DecisionRuleType [inherited]

Type alias for decision rule

Definition at line 114 of file itkClassifierBase.h.

typedef int itk::LightObject::InternalReferenceCountType [protected, inherited]

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

Definition at line 139 of file itkLightObject.h.

template<class TSample , class TMaskSample >
typedef TSample::MeasurementType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MeasurementType

typedefs from TSample object

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 81 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef TSample::MeasurementVectorType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MeasurementVectorType

Sets the decision rule

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 82 of file itkSampleClassifierWithMask.h.

Definition at line 108 of file itkClassifierBase.h.

template<class TSample , class TMaskSample >
typedef Superclass::MembershipFunctionPointerVector itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::MembershipFunctionPointerVector

typedefs from Superclass

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 87 of file itkSampleClassifierWithMask.h.

Typedefs for membership funciton

Definition at line 107 of file itkClassifierBase.h.

template<class TSample , class TMaskSample >
typedef Superclass::OutputType itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::OutputType

Superclass typedefs

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 72 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef SmartPointer< Self > itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Pointer

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 67 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef SampleClassifierWithMask itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Self

Standard class typedefs

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 65 of file itkSampleClassifierWithMask.h.

template<class TSample , class TMaskSample >
typedef SampleClassifier< TSample > itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::Superclass

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

Definition at line 66 of file itkSampleClassifierWithMask.h.


Constructor & Destructor Documentation

template<class TSample , class TMaskSample >
itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SampleClassifierWithMask (  )  [protected]
template<class TSample , class TMaskSample >
virtual itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::~SampleClassifierWithMask (  )  [inline, protected, virtual]

Definition at line 102 of file itkSampleClassifierWithMask.h.


Member Function Documentation

virtual void itk::LightProcessObject::AbortGenerateDataOff (  )  [virtual, inherited]
virtual void itk::LightProcessObject::AbortGenerateDataOn (  )  [virtual, inherited]

Turn on and off the AbortGenerateData flag.

unsigned int itk::ClassifierBase< TSample >::AddMembershipFunction ( MembershipFunctionType function  )  [inherited]

Stores a membership function of a class in its internal vector

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) const [inherited]

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

unsigned long itk::Object::AddObserver ( const EventObject event,
Command  
) [inherited]

Allow people to add/remove/invoke observers (callbacks) to any ITK object. This is an implementation of the subject/observer design pattern. An observer is added by specifying an event to respond to and an itk::Command to execute. It returns an unsigned long tag which can be used later to remove the event or retrieve the command. The memory for the Command becomes the responsibility of this object, so don't pass the same instance of a command to two different objects

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

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

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

Turn debugging output off.

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

Turn debugging output on.

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

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

template<class TSample , class TMaskSample >
void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GenerateData (  )  [protected, virtual]

Starts the classification process

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

virtual const bool& itk::LightProcessObject::GetAbortGenerateData (  )  [virtual, inherited]

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

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

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

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

Get the value of the debug flag.

DecisionRuleType* itk::ClassifierBase< TSample >::GetDecisionRule ( void   )  [inline, inherited]

Gets the pointer to the decision rule being used.

Definition at line 125 of file itkClassifierBase.h.

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

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

template<class TSample , class TMaskSample >
TMaskSample* itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GetMask (  )  [inline]

Definition at line 91 of file itkSampleClassifierWithMask.h.

const MembershipFunctionType* itk::ClassifierBase< TSample >::GetMembershipFunction ( unsigned int  index  )  const [inline, inherited]

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.

template<class TSample >
ClassLabelVectorType& itk::Statistics::SampleClassifier< TSample >::GetMembershipFunctionClassLabels (  )  [inline, inherited]

Gets the user given class labels

Definition at line 116 of file itkSampleClassifier.h.

const MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  const [inherited]
Returns:
A constant reference to this objects MetaDataDictionary.
MetaDataDictionary& itk::Object::GetMetaDataDictionary ( void   )  [inherited]
Returns:
A reference to this objects MetaDataDictionary.
Warning:
This reference may be changed.
virtual unsigned long itk::Object::GetMTime (  )  const [virtual, inherited]

Return this objects modified time.

Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::TransformToDeformationFieldSource< TOutputImage, TTransformPrecisionType >, itk::ImageSpatialObject< TDimension, TPixelType >, itk::MeshSpatialObject< TMesh >, itk::SceneSpatialObject< TSpaceDimension >, itk::SpatialObject< TDimension >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, 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::ImageSpatialObject< TDimension, unsigned char >, itk::SpatialObject< 3 >, and itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >.

Referenced by itk::SpatialObject< ::itk::GetMeshDimension< TMesh >::PointDimension >::GetObjectMTime().

template<class TSample , class TMaskSample >
virtual const char* itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::GetNameOfClass (  )  const [virtual]

Standard macros

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

virtual const unsigned int& itk::ClassifierBase< TSample >::GetNumberOfClasses (  )  [virtual, inherited]

Gets the number of classes.

unsigned int itk::ClassifierBase< TSample >::GetNumberOfMembershipFunctions (  )  [inline, inherited]

Gets the number of membership functions

Definition at line 140 of file itkClassifierBase.h.

template<class TSample >
OutputType* itk::Statistics::SampleClassifier< TSample >::GetOutput (  )  [inherited]

Returns the classification result

virtual const float& itk::LightProcessObject::GetProgress (  )  [virtual, inherited]

Get the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.

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

Gets the reference count on this object.

Definition at line 106 of file itkLightObject.h.

template<class TSample >
const TSample* itk::Statistics::SampleClassifier< TSample >::GetSample (  )  const [inherited]

Returns the target data

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

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

Definition at line 100 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

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

Definition at line 98 of file itkObject.h.

References itk::Object::SetGlobalWarningDisplay().

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

Return true if an observer is registered for this event.

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

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

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

Call Execute on all the Commands observing this event id.

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

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

Reimplemented in itk::NormalizeImageFilter< TInputImage, TOutputImage >, itk::ImageAdaptor< TImage, TAccessor >, itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, TFilter >, itk::GrayscaleDilateImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleErodeImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalClosingImageFilter< TInputImage, TOutputImage, TKernel >, itk::GrayscaleMorphologicalOpeningImageFilter< TInputImage, TOutputImage, TKernel >, itk::MorphologicalGradientImageFilter< TInputImage, TOutputImage, TKernel >, itk::ImageAdaptor< TImage, Accessor::AsinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, Accessor::SqrtPixelAccessor< TImage::PixelType, TOutputPixelType > >, 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::SinPixelAccessor< TImage::PixelType, TOutputPixelType > >, itk::ImageAdaptor< TImage, PixelAccessor >, 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 > >, and itk::MiniPipelineSeparableImageFilter< TInputImage, TOutputImage, RankImageFilter< TInputImage, TInputImage, FlatStructuringElement< ::itk::GetImageDimension< TInputImage >::ImageDimension > > >.

Referenced by itk::NarrowBandImageFilterBase< TInputImage, Image< TOutputPixelType,::itk::GetImageDimension< TInputImage >::ImageDimension > >::InsertNarrowBandNode(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetCenter(), 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(), itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetOffset(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetRealThresholds(), itk::ThresholdLabelerImageFilter< TInputImage, TOutputImage >::SetThresholds(), itk::Statistics::GoodnessOfFitFunctionBase< TInputHistogram >::SetTotalObservedScale(), and itk::MatrixOffsetTransformBase< TScalarType, 3, 3 >::SetTranslation().

template<class TSample , class TMaskSample >
static Pointer itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::New (  )  [static]

Standard macros

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

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

Cause the object to print itself out.

Referenced by itk::WeakPointer< ProcessObject >::Print().

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

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

bool itk::Object::PrintObservers ( std::ostream &  os,
Indent  indent 
) const [protected, inherited]
template<class TSample , class TMaskSample >
void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const [protected, virtual]

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

Reimplemented from itk::Statistics::SampleClassifier< TSample >.

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

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

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

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

Reimplemented from itk::LightObject.

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

Remove all observers .

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

Remove the observer with this tag value.

virtual void itk::LightProcessObject::SetAbortGenerateData ( bool  _arg  )  [virtual, inherited]

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

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

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

void itk::ClassifierBase< TSample >::SetDecisionRule ( DecisionRuleType ptrToDecisionRule  )  [inline, inherited]

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.

static void itk::Object::SetGlobalWarningDisplay ( bool  flag  )  [static, inherited]

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

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

template<class TSample , class TMaskSample >
void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetMask ( TMaskSample *  mask  ) 
template<class TSample >
void itk::Statistics::SampleClassifier< TSample >::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]
Returns:
Set the MetaDataDictionary
virtual void itk::ClassifierBase< TSample >::SetNumberOfClasses ( unsigned int  _arg  )  [virtual, inherited]

Sets the number of classes.

template<class TSample , class TMaskSample >
void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetOtherClassLabel ( ClassLabelType  label  )  [inline]

Definition at line 97 of file itkSampleClassifierWithMask.h.

virtual void itk::LightProcessObject::SetProgress ( float  _arg  )  [virtual, inherited]

Set the execution progress of a process object. The progress is a floating number between (0,1), 0 meaning no progress; 1 meaning the filter has completed execution.

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

Sets the reference count (use with care)

Reimplemented from itk::LightObject.

template<class TSample >
void itk::Statistics::SampleClassifier< TSample >::SetSample ( const TSample *  sample  )  [inherited]

Sets the target data that will be classified by this

template<class TSample , class TMaskSample >
void itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >::SetSelectedClassLabels ( ClassLabelVectorType labels  )  [inline]

Definition at line 94 of file itkSampleClassifierWithMask.h.

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

Decrease the reference count (release by another object).

Reimplemented from itk::LightObject.

void itk::ClassifierBase< TSample >::Update ( void   )  [inherited]

Starts the classification process

virtual void itk::LightProcessObject::UpdateOutputData (  )  [virtual, inherited]

Actually generate new output.

void itk::LightProcessObject::UpdateProgress ( float  amount  )  [inherited]

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


Member Data Documentation

Number of uses of this object by other objects.

Definition at line 144 of file itkLightObject.h.

Mutex lock to protect modification to the reference count

Definition at line 147 of file itkLightObject.h.


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

Generated at Sat Apr 17 02:06:59 2010 for ITK by doxygen 1.6.1 written by Dimitri van Heesch, © 1997-2000