Integration point for MembershipCalculator, DecisionRule, and target sample data. More...
#include <itkSampleClassifier.h>
Public Types | |
typedef unsigned int | ClassLabelType |
typedef std::vector < ClassLabelType > | ClassLabelVectorType |
typedef SmartPointer< const Self > | ConstPointer |
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 MembershipSample< TSample > | OutputType |
typedef SmartPointer< Self > | Pointer |
typedef SampleClassifier | Self |
typedef ClassifierBase< 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 () |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
DecisionRuleType * | GetDecisionRule (void) |
const MembershipFunctionType * | GetMembershipFunction (unsigned int index) const |
ClassLabelVectorType & | GetMembershipFunctionClassLabels () |
const MetaDataDictionary & | GetMetaDataDictionary (void) const |
MetaDataDictionary & | GetMetaDataDictionary (void) |
virtual unsigned long | GetMTime () const |
virtual const unsigned int & | GetNumberOfClasses () |
unsigned int | GetNumberOfMembershipFunctions () |
OutputType * | GetOutput () |
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 | SetMembershipFunctionClassLabels (ClassLabelVectorType &labels) |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
virtual void | SetNumberOfClasses (unsigned int _arg) |
virtual void | SetReferenceCount (int) |
void | SetSample (const TSample *sample) |
virtual void | UnRegister () const |
void | Update () |
virtual void | UpdateOutputData () |
void | UpdateProgress (float amount) |
virtual void | SetProgress (float _arg) |
virtual const float & | GetProgress () |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
Static Public Member Functions | |
static void | BreakOnError () |
static void | SetGlobalWarningDisplay (bool flag) |
static bool | GetGlobalWarningDisplay () |
static void | GlobalWarningDisplayOn () |
static void | GlobalWarningDisplayOff () |
Protected Types | |
typedef int | InternalReferenceCountType |
Protected Member Functions | |
void | GenerateData () |
bool | PrintObservers (std::ostream &os, Indent indent) const |
void | PrintSelf (std::ostream &os, Indent indent) const |
SampleClassifier () | |
virtual | ~SampleClassifier () |
virtual void | PrintHeader (std::ostream &os, Indent indent) const |
virtual void | PrintTrailer (std::ostream &os, Indent indent) const |
Protected Attributes | |
InternalReferenceCountType | m_ReferenceCount |
SimpleFastMutexLock | m_ReferenceCountLock |
| |
virtual const char * | GetNameOfClass () const |
static Pointer | New () |
Integration point for MembershipCalculator, DecisionRule, and target sample data.
The first template argument is the type of the target sample data that this classifier will assign a class label for each measurement vector. The second one is the type of a membership value calculator for each. A membership calculator represents a specific knowledge about a class. In other words, it should tell us how "likely" is that a measurement vector (pattern) belong to the class. The third 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.
Before you call the GenerateData method to start the classification process, you should plug in all necessary parts ( one or more membership calculators, a decision rule, and a target sample data). To plug in the decision rule, you use SetDecisionRule method, for the target sample data, SetSample method, and for the membership calculators, use AddMembershipCalculator method.
As the method name indicates, you can have more than one membership calculator. 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 classification result is stored in a vector of Subsample object. Each class has its own class sample (Subsample object) that has InstanceIdentifiers for all measurement vectors belong to the class. The InstanceIdentifiers come from the target sample data. Therefore, the Subsample objects act as separate class masks.
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 GetSample().GetMeasurementVectorSize() instead.
Definition at line 73 of file itkSampleClassifier.h.
typedef unsigned int itk::Statistics::SampleClassifier< TSample >::ClassLabelType |
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 100 of file itkSampleClassifier.h.
typedef std::vector< ClassLabelType > itk::Statistics::SampleClassifier< TSample >::ClassLabelVectorType |
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 101 of file itkSampleClassifier.h.
typedef SmartPointer<const Self> itk::Statistics::SampleClassifier< TSample >::ConstPointer |
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 81 of file itkSampleClassifier.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.
typedef TSample::MeasurementType itk::Statistics::SampleClassifier< TSample >::MeasurementType |
typedefs from TSample object
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 92 of file itkSampleClassifier.h.
typedef TSample::MeasurementVectorType itk::Statistics::SampleClassifier< TSample >::MeasurementVectorType |
Sets the decision rule
Reimplemented from itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 93 of file itkSampleClassifier.h.
typedef MembershipFunctionType::Pointer itk::ClassifierBase< TSample >::MembershipFunctionPointer [inherited] |
Definition at line 108 of file itkClassifierBase.h.
typedef Superclass::MembershipFunctionPointerVector itk::Statistics::SampleClassifier< TSample >::MembershipFunctionPointerVector |
typedefs from Superclass
Reimplemented from itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 98 of file itkSampleClassifier.h.
typedef Statistics::MembershipFunctionBase< MeasurementVectorType > itk::ClassifierBase< TSample >::MembershipFunctionType [inherited] |
Typedefs for membership funciton
Definition at line 107 of file itkClassifierBase.h.
typedef MembershipSample< TSample > itk::Statistics::SampleClassifier< TSample >::OutputType |
Output type for GetClassSample method
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 85 of file itkSampleClassifier.h.
typedef SmartPointer< Self > itk::Statistics::SampleClassifier< TSample >::Pointer |
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 80 of file itkSampleClassifier.h.
typedef SampleClassifier itk::Statistics::SampleClassifier< TSample >::Self |
Standard class typedefs
Reimplemented from itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 78 of file itkSampleClassifier.h.
typedef ClassifierBase< TSample > itk::Statistics::SampleClassifier< TSample >::Superclass |
Reimplemented from itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
Definition at line 79 of file itkSampleClassifier.h.
itk::Statistics::SampleClassifier< TSample >::SampleClassifier | ( | ) | [protected] |
virtual itk::Statistics::SampleClassifier< TSample >::~SampleClassifier | ( | ) | [inline, protected, virtual] |
Definition at line 124 of file itkSampleClassifier.h.
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 * | ||||
) | [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
unsigned long itk::Object::AddObserver | ( | const EventObject & | event, | |
Command * | ||||
) | const [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] |
Create an object from an instance, potentially deferring to a factory. This method allows you to create an instance of an object that is exactly the same type as the referring object. This is useful in cases where an object has been cast back to a base class.
Reimplemented from itk::LightObject.
Reimplemented in itk::BSplineDeformableTransform< TScalarType, NDimensions, VSplineOrder >, itk::CreateObjectFunction< T >, itk::TransformFactoryBase, itk::AnalyzeImageIOFactory, itk::BioRadImageIOFactory, itk::BMPImageIOFactory, itk::Brains2MaskImageIOFactory, itk::DICOMImageIO2Factory, itk::DicomImageIOFactory, itk::GDCMImageIOFactory, itk::GE4ImageIOFactory, itk::GE5ImageIOFactory, itk::GEAdwImageIOFactory, itk::GiplImageIOFactory, itk::JPEGImageIOFactory, itk::LSMImageIOFactory, itk::MetaImageIOFactory, itk::NiftiImageIOFactory, itk::NrrdImageIOFactory, itk::PNGImageIOFactory, itk::RawImageIOFactory< TPixel, VImageDimension >, itk::SiemensVisionImageIOFactory, itk::StimulateImageIOFactory, itk::TIFFImageIOFactory, itk::VTKImageIOFactory, itk::Bruker2DSEQImageIOFactory, itk::MatlabTransformIOFactory, itk::MINC2ImageIOFactory, itk::MRCImageIOFactory, itk::PhilipsRECImageIOFactory, itk::TxtTransformIOFactory, itk::VoxBoCUBImageIOFactory, itk::VTKImageIO2Factory, and itk::SpatialObjectFactoryBase.
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.
void itk::Statistics::SampleClassifier< TSample >::GenerateData | ( | ) | [protected, virtual] |
Starts the classification process
Implements itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
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.
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.
ClassLabelVectorType& itk::Statistics::SampleClassifier< TSample >::GetMembershipFunctionClassLabels | ( | ) | [inline] |
Gets the user given class labels
Definition at line 116 of file itkSampleClassifier.h.
MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | [inherited] |
const MetaDataDictionary& itk::Object::GetMetaDataDictionary | ( | void | ) | const [inherited] |
virtual unsigned long itk::Object::GetMTime | ( | ) | const [virtual, inherited] |
Return this objects modified time.
Reimplemented in itk::ImageRegistrationMethod< TFixedImage, TMovingImage >, itk::ImageToSpatialObjectRegistrationMethod< TFixedImage, TMovingSpatialObject >, itk::MultiResolutionImageRegistrationMethod< TFixedImage, TMovingImage >, itk::PointSetToImageRegistrationMethod< TFixedPointSet, TMovingImage >, itk::PointSetToPointSetRegistrationMethod< TFixedPointSet, TMovingPointSet >, itk::DeformationFieldSource< TOutputImage >, itk::InverseDeformationFieldImageFilter< TInputImage, TOutputImage >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::VectorResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::BoundingBox< TPointIdentifier, VPointDimension, TCoordRep, TPointsContainer >, itk::ImageAdaptor< TImage, TAccessor >, itk::ResampleImageFilter< TInputImage, TOutputImage, TInterpolatorPrecisionType >, itk::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, 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().
virtual const char* itk::Statistics::SampleClassifier< TSample >::GetNameOfClass | ( | ) | const [virtual] |
Standard macros
Reimplemented from itk::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
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.
OutputType* itk::Statistics::SampleClassifier< TSample >::GetOutput | ( | ) |
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.
const TSample* itk::Statistics::SampleClassifier< TSample >::GetSample | ( | ) | const |
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 & | ) | [inherited] |
Call Execute on all the Commands observing this event id.
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.
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, 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().
static Pointer itk::Statistics::SampleClassifier< TSample >::New | ( | ) | [static] |
Standard macros
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
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] |
bool itk::Object::PrintObservers | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, inherited] |
void itk::Statistics::SampleClassifier< TSample >::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::ClassifierBase< TSample >.
Reimplemented in itk::Statistics::SampleClassifierWithMask< TSample, TMaskSample >.
virtual void itk::LightObject::PrintTrailer | ( | std::ostream & | os, | |
Indent | indent | |||
) | const [protected, virtual, inherited] |
virtual void itk::Object::Register | ( | ) | const [virtual, inherited] |
Increase the reference count (mark as used by another object).
Reimplemented from itk::LightObject.
void itk::Object::RemoveAllObservers | ( | ) | [inherited] |
Remove all observers .
void itk::Object::RemoveObserver | ( | unsigned long | tag | ) | [inherited] |
Remove the observer with this tag value.
virtual void itk::LightProcessObject::SetAbortGenerateData | ( | bool | _arg | ) | [virtual, inherited] |
Set the AbortGenerateData flag for the process object. Process objects may handle premature termination of execution in different ways.
void itk::Object::SetDebug | ( | bool | debugFlag | ) | const [inherited] |
Set the value of the debug flag. A non-zero value turns debugging on.
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().
void itk::Statistics::SampleClassifier< TSample >::SetMembershipFunctionClassLabels | ( | ClassLabelVectorType & | labels | ) |
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] |
virtual void itk::ClassifierBase< TSample >::SetNumberOfClasses | ( | unsigned int | _arg | ) | [virtual, inherited] |
Sets the number of classes.
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.
void itk::Statistics::SampleClassifier< TSample >::SetSample | ( | const TSample * | sample | ) |
Sets the target data that will be classified by this
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).
InternalReferenceCountType itk::LightObject::m_ReferenceCount [mutable, protected, inherited] |
Number of uses of this object by other objects.
Definition at line 144 of file itkLightObject.h.
SimpleFastMutexLock itk::LightObject::m_ReferenceCountLock [mutable, protected, inherited] |
Mutex lock to protect modification to the reference count
Definition at line 147 of file itkLightObject.h.