#include <itkClassifierBase.h>

Inheritance diagram for itk::ClassifierBase< TDataContainer >:

Collaboration diagram for itk::ClassifierBase< TDataContainer >:

Public Types
typedef Statistics::DecisionRule	DecisionRuleType
typedef TDataContainer::ValueType	MeasurementVectorType
typedef MembershipFunctionType::Pointer	MembershipFunctionPointer
typedef std::vector < MembershipFunctionPointer >	MembershipFunctionPointerVector
typedef Statistics::MembershipFunctionBase < MeasurementVectorType >	MembershipFunctionType
typedef ClassifierBase	Self
typedef LightProcessObject	Superclass
Public Types inherited from itk::LightProcessObject
typedef SmartPointer< const Self >	ConstPointer
typedef SmartPointer< Self >	Pointer
Public Types inherited from itk::Object
Public Types inherited from itk::LightObject

Public Member Functions
unsigned int	AddMembershipFunction (MembershipFunctionType *function)
DecisionRuleType *	GetDecisionRule (void)
const MembershipFunctionType *	GetMembershipFunction (unsigned int index) const
virtual const char *	GetNameOfClass () const
virtual const unsigned int &	GetNumberOfClasses ()
unsigned int	GetNumberOfMembershipFunctions ()
void	SetDecisionRule (DecisionRuleType *ptrToDecisionRule)
virtual void	SetNumberOfClasses (unsigned int _arg)
void	Update ()
Public Member Functions inherited from itk::LightProcessObject
virtual void	AbortGenerateDataOff ()
virtual void	AbortGenerateDataOn ()
virtual ::itk::LightObject::Pointer	CreateAnother (void) const
virtual const bool &	GetAbortGenerateData ()
virtual void	SetAbortGenerateData (bool _arg)
virtual void	UpdateOutputData ()
void	UpdateProgress (float amount)
virtual void	SetProgress (float _arg)
virtual const float &	GetProgress ()
Public Member Functions inherited from itk::Object
unsigned long	AddObserver (const EventObject &event, Command *)
unsigned long	AddObserver (const EventObject &event, Command *) const
virtual void	DebugOff () const
virtual void	DebugOn () const
Command *	GetCommand (unsigned long tag)
bool	GetDebug () const
MetaDataDictionary &	GetMetaDataDictionary (void)
const MetaDataDictionary &	GetMetaDataDictionary (void) const
virtual unsigned long	GetMTime () const
virtual const TimeStamp &	GetTimeStamp () const
bool	HasObserver (const EventObject &event) const
void	InvokeEvent (const EventObject &)
void	InvokeEvent (const EventObject &) const
virtual void	Modified () const
virtual void	Register () const
void	RemoveAllObservers ()
void	RemoveObserver (unsigned long tag)
void	SetDebug (bool debugFlag) const
void	SetMetaDataDictionary (const MetaDataDictionary &rhs)
virtual void	SetReferenceCount (int)
virtual void	UnRegister () const
Public Member Functions inherited from itk::LightObject
virtual void	Delete ()
virtual int	GetReferenceCount () const
	itkCloneMacro (Self)
void	Print (std::ostream &os, Indent indent=0) const

Protected Member Functions
	ClassifierBase ()
virtual void	GenerateData ()=0
void	PrintSelf (std::ostream &os, Indent indent) const
	~ClassifierBase ()
Protected Member Functions inherited from itk::LightProcessObject
	LightProcessObject ()
	~LightProcessObject ()
Protected Member Functions inherited from itk::Object
	Object ()
bool	PrintObservers (std::ostream &os, Indent indent) const
virtual void	SetTimeStamp (const TimeStamp &time)
virtual	~Object ()
Protected Member Functions inherited from itk::LightObject
virtual LightObject::Pointer	InternalClone () const
	LightObject ()
virtual void	PrintHeader (std::ostream &os, Indent indent) const
virtual void	PrintTrailer (std::ostream &os, Indent indent) const
virtual	~LightObject ()

Private Member Functions
	ClassifierBase (const Self &)
void	operator= (const Self &)

Private Attributes
DecisionRuleType::Pointer	m_DecisionRule
MembershipFunctionPointerVector	m_MembershipFunctions
unsigned int	m_NumberOfClasses

Additional Inherited Members
Static Public Member Functions inherited from itk::LightProcessObject
static Pointer	New ()
Static Public Member Functions inherited from itk::Object
static bool	GetGlobalWarningDisplay ()
static void	GlobalWarningDisplayOff ()
static void	GlobalWarningDisplayOn ()
static void	SetGlobalWarningDisplay (bool flag)
Static Public Member Functions inherited from itk::LightObject
static void	BreakOnError ()

Detailed Description

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

Base class for classifier objects.

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

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

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

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

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

The user will call the Update() function to run the classification process.

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

The user can have more than one membership function, and can have one for each class. The order of the membership calculator becomes the class label for the class that is represented by the membership calculator.

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

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

This class is templated over the container type.

Definition at line 86 of file itkClassifierBase.h.