ITK
5.2.0
Insight Toolkit
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#include <itkImageModelEstimatorBase.h>
Public Types | |
using | ConstPointer = SmartPointer< const Self > |
using | InputImagePointer = typename TInputImage::Pointer |
using | InputImageType = TInputImage |
using | MembershipFunctionPointer = typename TMembershipFunction::Pointer |
using | MembershipFunctionPointerVector = std::vector< MembershipFunctionPointer > |
using | Pointer = SmartPointer< Self > |
using | Self = ImageModelEstimatorBase |
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 | |
virtual const char * | GetNameOfClass () const |
virtual const unsigned int & | GetNumberOfModels () const |
virtual void | SetNumberOfModels (unsigned int _arg) |
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 |
unsigned int | m_NumberOfModels { 0 } |
MembershipFunctionPointerVector | m_MembershipFunctions |
InputImagePointer | m_InputImage |
virtual void | SetInputImage (InputImageType *_arg) |
virtual InputImageType * | GetModifiableInputImage () |
virtual const InputImageType * | GetInputImage () const |
void | SetMembershipFunctions (MembershipFunctionPointerVector membershipFunctions) |
const MembershipFunctionPointerVector | GetMembershipFunctions () const |
unsigned int | GetNumberOfMembershipFunctions () |
void | DeleteAllMembershipFunctions () |
unsigned int | AddMembershipFunction (MembershipFunctionPointer function) |
void | Update () |
ImageModelEstimatorBase () | |
~ImageModelEstimatorBase () override=default | |
void | PrintSelf (std::ostream &os, Indent indent) const override |
void | GenerateData () override |
virtual void | EstimateModels ()=0 |
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 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 () |
Protected Attributes inherited from itk::LightObject | |
std::atomic< int > | m_ReferenceCount |
Base class for model estimation from images used for classification.
itkImageModelEstimatorBase is the base class for the ImageModelEstimator objects. It provides the basic function definitions that are inherent to ImageModelEstimator objects.
This is the Superclass for the ImageModelEstimator framework. This is an abstract class defining an interface for all such objects available through the ImageModelEstimator framework in the ITK toolkit.
The basic functionality of the ImageModelEstimator framework base class is to generate the models used in classification applications. It requires input images and a training image to be provided by the user. This object supports data handling of multiband images. The object accepts the input image in vector format only, where each pixel is a vector and each element of the vector corresponds to an entry from 1 particular band of a multiband dataset. A single band image is treated as a vector image with a single element for every vector. The classified image is treated as a single band scalar image.
EstimateModels() is a pure virtual function making this an abstract class. The template parameter is the type of membership function the ImageModelEstimator populates.
A membership function 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.
As the method name indicates, you can have more than one membership function. One for each classes. The order of the membership calculator becomes the class label for the class that is represented by the membership calculator.
Definition at line 64 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::ConstPointer = SmartPointer<const Self> |
Definition at line 73 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImagePointer = typename TInputImage::Pointer |
Definition at line 91 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::InputImageType = TInputImage |
Type definitions for the training image.
Definition at line 90 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointer = typename TMembershipFunction::Pointer |
Type definitions for the membership function .
Definition at line 85 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::MembershipFunctionPointerVector = std::vector<MembershipFunctionPointer> |
Definition at line 87 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Pointer = SmartPointer<Self> |
Definition at line 72 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Self = ImageModelEstimatorBase |
Standard class type aliases.
Definition at line 70 of file itkImageModelEstimatorBase.h.
using itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Superclass = LightProcessObject |
Definition at line 71 of file itkImageModelEstimatorBase.h.
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protected |
Container to hold the membership functions
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overrideprotecteddefault |
Container to hold the membership functions
unsigned int itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::AddMembershipFunction | ( | MembershipFunctionPointer | function | ) |
Stores a MembershipCalculator of a class in its internal vector
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inline |
Method to reset the membership function mean
Definition at line 124 of file itkImageModelEstimatorBase.h.
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privatepure virtual |
The core virtual function to perform modelling of the input data
Implemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
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overrideprotectedvirtual |
Container to hold the membership functions
Reimplemented from itk::LightProcessObject.
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virtual |
Container to hold the membership functions
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inline |
Method to get mean
Definition at line 110 of file itkImageModelEstimatorBase.h.
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virtual |
Container to hold the membership functions
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::LightProcessObject.
Reimplemented in itk::ImageKmeansModelEstimator< TInputImage, TMembershipFunction >, and itk::ImageGaussianModelEstimator< TInputImage, TMembershipFunction, TTrainingImage >.
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inline |
Method to number of membership functions
Definition at line 117 of file itkImageModelEstimatorBase.h.
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virtual |
Get the number of classes.
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overrideprotectedvirtual |
Container to hold the membership functions
Reimplemented from itk::LightProcessObject.
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virtual |
Type definitions for the training image. Get/Set the input image.
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inline |
Set the classified image.
Definition at line 103 of file itkImageModelEstimatorBase.h.
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virtual |
Set the number of classes.
void itk::ImageModelEstimatorBase< TInputImage, TMembershipFunction >::Update | ( | ) |
Define a virtual function to perform model generation from the input data
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private |
Container for holding the training image
Definition at line 154 of file itkImageModelEstimatorBase.h.
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private |
Container to hold the membership functions
Definition at line 151 of file itkImageModelEstimatorBase.h.
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private |
Container to hold the membership functions
Definition at line 148 of file itkImageModelEstimatorBase.h.