ITK
5.2.0
Insight Toolkit
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#include <itkClassifierBase.h>
Public Types | |
using | DecisionRuleType = Statistics::DecisionRule |
using | MeasurementVectorType = typename TDataContainer::ValueType |
using | MembershipFunctionPointer = typename MembershipFunctionType::Pointer |
using | MembershipFunctionPointerVector = std::vector< MembershipFunctionPointer > |
using | MembershipFunctionType = Statistics::MembershipFunctionBase< MeasurementVectorType > |
using | Self = ClassifierBase |
using | Superclass = LightProcessObject |
Public Types inherited from itk::LightProcessObject | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = LightProcessObject |
using | Superclass = Object |
Public Types inherited from itk::Object | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = Object |
using | Superclass = LightObject |
Public Types inherited from itk::LightObject | |
using | ConstPointer = SmartPointer< const Self > |
using | Pointer = SmartPointer< Self > |
using | Self = LightObject |
Public Member Functions | |
unsigned int | AddMembershipFunction (MembershipFunctionType *function) |
DecisionRuleType * | GetDecisionRule () |
const MembershipFunctionType * | GetMembershipFunction (unsigned int index) const |
virtual const char * | GetNameOfClass () const |
virtual const unsigned int & | GetNumberOfClasses () const |
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 () const |
virtual const bool & | GetAbortGenerateData () const |
virtual void | SetAbortGenerateData (bool _arg) |
virtual void | SetProgress (float _arg) |
virtual const float & | GetProgress () const |
void | UpdateProgress (float amount) |
virtual void | UpdateOutputData () |
Public Member Functions inherited from itk::Object | |
unsigned long | AddObserver (const EventObject &event, Command *) |
unsigned long | AddObserver (const EventObject &event, Command *) const |
unsigned long | AddObserver (const EventObject &event, std::function< void(const EventObject &)> function) const |
LightObject::Pointer | CreateAnother () const override |
virtual void | DebugOff () const |
virtual void | DebugOn () const |
Command * | GetCommand (unsigned long tag) |
bool | GetDebug () const |
MetaDataDictionary & | GetMetaDataDictionary () |
const MetaDataDictionary & | GetMetaDataDictionary () const |
virtual ModifiedTimeType | 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 |
void | Register () const override |
void | RemoveAllObservers () |
void | RemoveObserver (unsigned long tag) |
void | SetDebug (bool debugFlag) const |
void | SetReferenceCount (int) override |
void | UnRegister () const noexcept override |
void | SetMetaDataDictionary (const MetaDataDictionary &rhs) |
void | SetMetaDataDictionary (MetaDataDictionary &&rrhs) |
virtual void | SetObjectName (std::string _arg) |
virtual const std::string & | GetObjectName () const |
Public Member Functions inherited from itk::LightObject | |
Pointer | Clone () const |
virtual void | Delete () |
virtual int | GetReferenceCount () const |
void | Print (std::ostream &os, Indent indent=0) const |
Protected Member Functions | |
ClassifierBase () | |
void | GenerateData () override=0 |
void | PrintSelf (std::ostream &os, Indent indent) const override |
~ClassifierBase () override=default | |
Protected Member Functions inherited from itk::LightProcessObject | |
LightProcessObject () | |
~LightProcessObject () override | |
Protected Member Functions inherited from itk::Object | |
Object () | |
~Object () override | |
bool | PrintObservers (std::ostream &os, Indent indent) const |
virtual void | SetTimeStamp (const TimeStamp &timeStamp) |
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 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 Pointer | New () |
static void | SetGlobalWarningDisplay (bool val) |
Static Public Member Functions inherited from itk::LightObject | |
static void | BreakOnError () |
static Pointer | New () |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount |
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 87 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::DecisionRuleType = Statistics::DecisionRule |
Type alias for decision rule
Definition at line 115 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::MeasurementVectorType = typename TDataContainer::ValueType |
Sets the decision rule
Definition at line 106 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::MembershipFunctionPointer = typename MembershipFunctionType::Pointer |
Definition at line 110 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::MembershipFunctionPointerVector = std::vector<MembershipFunctionPointer> |
Definition at line 112 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::MembershipFunctionType = Statistics::MembershipFunctionBase<MeasurementVectorType> |
Typedefs for membership function
Definition at line 109 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::Self = ClassifierBase |
Standard class type aliases.
Definition at line 93 of file itkClassifierBase.h.
using itk::ClassifierBase< TDataContainer >::Superclass = LightProcessObject |
Definition at line 94 of file itkClassifierBase.h.
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protected |
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overrideprotecteddefault |
unsigned int itk::ClassifierBase< TDataContainer >::AddMembershipFunction | ( | MembershipFunctionType * | function | ) |
Stores a membership function of a class in its internal vector
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overrideprotectedpure virtual |
The real classification logic implementation. All the subclasses of this class should implement this method.
Reimplemented from itk::LightProcessObject.
Implemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >.
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inline |
Gets the pointer to the decision rule being used.
Definition at line 128 of file itkClassifierBase.h.
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inline |
Gets the MembershipFunction that are plugged in by the AddMembershipFunction method. The index is assigned according to the order each membership function has been added using the AddMemberShipFunction method
Definition at line 138 of file itkClassifierBase.h.
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageClassifierBase< TInputImage, TClassifiedImage >.
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virtual |
Gets the number of classes.
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inline |
Gets the number of membership functions
Definition at line 145 of file itkClassifierBase.h.
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overrideprotectedvirtual |
These support the progress method and aborting filter execution.
Reimplemented from itk::LightProcessObject.
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inline |
Sets the pointer to the decision rule. Stores the decision rule that makes the real decision using informations from MembershipFunctions and other prior knowledge
Definition at line 121 of file itkClassifierBase.h.
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virtual |
Sets the number of classes.
void itk::ClassifierBase< TDataContainer >::Update | ( | ) |
Starts the classification process
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private |
Pointer to the decision rule to be used for classification.
Definition at line 174 of file itkClassifierBase.h.
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private |
Container to hold the membership functions
Definition at line 177 of file itkClassifierBase.h.
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private |
Number of classes
Definition at line 171 of file itkClassifierBase.h.