ITK  5.2.0
Insight Toolkit
Public Types | Public Member Functions | Static Public Member Functions | Static Public Attributes | List of all members
itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType > Class Template Reference

#include <itkBayesianClassifierInitializationImageFilter.h>

+ Inheritance diagram for itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >:
+ Collaboration diagram for itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >:

Public Types

using ConstPointer = SmartPointer< const Self >
 
using InputImageIteratorType = ImageRegionConstIterator< InputImageType >
 
using InputImageType = TInputImage
 
using InputPixelType = typename InputImageType::PixelType
 
using MeasurementVectorType = Vector< InputPixelType, 1 >
 
using MembershipFunctionContainerPointer = typename MembershipFunctionContainerType::Pointer
 
using MembershipFunctionContainerType = VectorContainer< unsigned int, MembershipFunctionPointer >
 
using MembershipFunctionPointer = typename MembershipFunctionType::Pointer
 
using MembershipFunctionType = Statistics::MembershipFunctionBase< MeasurementVectorType >
 
using MembershipImageIteratorType = ImageRegionIterator< MembershipImageType >
 
using MembershipImagePointer = typename MembershipImageType::Pointer
 
using MembershipImageType = VectorImage< ProbabilityPrecisionType, Self::Dimension >
 
using MembershipPixelType = typename MembershipImageType::PixelType
 
using OutputImageType = VectorImage< ProbabilityPrecisionType, Self::Dimension >
 
using OutputPixelType = typename OutputImageType::PixelType
 
using Pointer = SmartPointer< Self >
 
using ProbabilityPrecisionType = TProbabilityPrecisionType
 
using Self = BayesianClassifierInitializationImageFilter
 
using Superclass = ImageToImageFilter< InputImageType, OutputImageType >
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
using ConstPointer = SmartPointer< const Self >
 
using InputImageConstPointer = typename InputImageType::ConstPointer
 
using InputImagePixelType = typename InputImageType::PixelType
 
using InputImagePointer = typename InputImageType::Pointer
 
using InputImageRegionType = typename InputImageType::RegionType
 
using InputImageType = TInputImage
 
using OutputImagePixelType = typename Superclass::OutputImagePixelType
 
using OutputImageRegionType = typename Superclass::OutputImageRegionType
 
using Pointer = SmartPointer< Self >
 
using Self = ImageToImageFilter
 
using Superclass = ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
 
- Public Types inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = Superclass::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArraySizeType = Superclass::DataObjectPointerArraySizeType
 
using OutputImagePixelType = typename OutputImageType::PixelType
 
using OutputImagePointer = typename OutputImageType::Pointer
 
using OutputImageRegionType = typename OutputImageType::RegionType
 
using OutputImageType = VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension >
 
using Pointer = SmartPointer< Self >
 
using Self = ImageSource
 
using Superclass = ProcessObject
 
- Public Types inherited from itk::ProcessObject
using ConstPointer = SmartPointer< const Self >
 
using DataObjectIdentifierType = DataObject::DataObjectIdentifierType
 
using DataObjectPointer = DataObject::Pointer
 
using DataObjectPointerArray = std::vector< DataObjectPointer >
 
using DataObjectPointerArraySizeType = DataObjectPointerArray::size_type
 
using MultiThreaderType = MultiThreaderBase
 
using NameArray = std::vector< DataObjectIdentifierType >
 
using Pointer = SmartPointer< Self >
 
using Self = ProcessObject
 
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 ::itk::LightObject::Pointer CreateAnother () const
 
virtual const char * GetNameOfClass () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
const InputImageTypeGetInput () const
 
const InputImageTypeGetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *image)
 
virtual void PushFrontInput (const InputImageType *image)
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetInput (const InputImageType *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
OutputImageTypeGetOutput ()
 
const OutputImageTypeGetOutput () const
 
OutputImageTypeGetOutput (unsigned int idx)
 
virtual void GraftOutput (DataObject *output)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *output)
 
ProcessObject::DataObjectPointer MakeOutput (ProcessObject::DataObjectPointerArraySizeType idx) override
 
ProcessObject::DataObjectPointer MakeOutput (const ProcessObject::DataObjectIdentifierType &) override
 
- Public Member Functions inherited from itk::ProcessObject
virtual void AbortGenerateDataOff ()
 
virtual void AbortGenerateDataOn ()
 
virtual void EnlargeOutputRequestedRegion (DataObject *)
 
virtual const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
DataObjectPointerArraySizeType GetNumberOfIndexedInputs () const
 
DataObjectPointerArraySizeType GetNumberOfIndexedOutputs () const
 
DataObjectPointerArraySizeType GetNumberOfInputs () const
 
DataObjectPointerArraySizeType GetNumberOfOutputs () const
 
virtual DataObjectPointerArraySizeType GetNumberOfValidRequiredInputs () const
 
NameArray GetOutputNames () const
 
DataObjectPointerArray GetOutputs ()
 
virtual float GetProgress () const
 
NameArray GetRequiredInputNames () const
 
bool HasInput (const DataObjectIdentifierType &key) const
 
bool HasOutput (const DataObjectIdentifierType &key) const
 
void IncrementProgress (float increment)
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool flag)
 
virtual bool GetReleaseDataFlag () const
 
void ReleaseDataFlagOn ()
 
void ReleaseDataFlagOff ()
 
virtual void SetReleaseDataBeforeUpdateFlag (bool _arg)
 
virtual const bool & GetReleaseDataBeforeUpdateFlag () const
 
virtual void ReleaseDataBeforeUpdateFlagOn ()
 
virtual void ReleaseDataBeforeUpdateFlagOff ()
 
virtual void SetNumberOfWorkUnits (ThreadIdType _arg)
 
virtual const ThreadIdTypeGetNumberOfWorkUnits () const
 
MultiThreaderTypeGetMultiThreader () const
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void PrepareOutputs ()
 
- 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
 
virtual void DebugOff () const
 
virtual void DebugOn () const
 
CommandGetCommand (unsigned long tag)
 
bool GetDebug () const
 
MetaDataDictionaryGetMetaDataDictionary ()
 
const MetaDataDictionaryGetMetaDataDictionary () const
 
virtual ModifiedTimeType GetMTime () const
 
virtual const TimeStampGetTimeStamp () 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
virtual void Delete ()
 
virtual int GetReferenceCount () const
 
 itkCloneMacro (Self)
 
void Print (std::ostream &os, Indent indent=0) const
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static void SetGlobalDefaultDirectionTolerance (double)
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static double GetGlobalDefaultCoordinateTolerance ()
 
- Static Public Member Functions inherited from itk::Object
static bool GetGlobalWarningDisplay ()
 
static void GlobalWarningDisplayOff ()
 
static void GlobalWarningDisplayOn ()
 
static Pointer New ()
 
static void SetGlobalWarningDisplay (bool flag)
 
- Static Public Member Functions inherited from itk::LightObject
static void BreakOnError ()
 
static Pointer New ()
 

Static Public Attributes

static constexpr unsigned int Dimension = InputImageType ::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static constexpr unsigned int OutputImageDimension
 
bool m_UserSuppliesMembershipFunctions { false }
 
unsigned int m_NumberOfClasses { 0 }
 
MembershipFunctionContainerType::Pointer m_MembershipFunctionContainer
 
virtual void SetMembershipFunctions (MembershipFunctionContainerType *densityFunctionContainer)
 
virtual MembershipFunctionContainerTypeGetModifiableMembershipFunctionContainer ()
 
virtual const MembershipFunctionContainerTypeGetMembershipFunctionContainer () const
 
virtual void SetNumberOfClasses (unsigned int _arg)
 
virtual unsigned int GetNumberOfClasses () const
 
void GenerateOutputInformation () override
 
 BayesianClassifierInitializationImageFilter ()
 
 ~BayesianClassifierInitializationImageFilter () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
virtual void InitializeMembershipFunctions ()
 
void GenerateData () override
 

Additional Inherited Members

- Protected Types inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
using InputToOutputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::OutputImageDimension, Self::InputImageDimension >
 
using OutputToInputRegionCopierType = ImageToImageFilterDetail::ImageRegionCopier< Self::InputImageDimension, Self::OutputImageDimension >
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
void PushBackInput (const DataObject *input) override
 
void PushFrontInput (const DataObject *input) override
 
 ImageToImageFilter ()
 
 ~ImageToImageFilter () override=default
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
void VerifyInputInformation () ITKv5_CONST override
 
void GenerateInputRequestedRegion () override
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
- Protected Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
 ImageSource ()
 
 ~ImageSource () override=default
 
void GenerateData () override
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual void ThreadedGenerateData (const OutputImageRegionType &outputRegionForThread, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
virtual void AfterThreadedGenerateData ()
 
virtual const ImageRegionSplitterBaseGetImageRegionSplitter () const
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
 ProcessObject ()
 
 ~ProcessObject () override
 
DataObjectGetInput (const DataObjectIdentifierType &key)
 
const DataObjectGetInput (const DataObjectIdentifierType &key) const
 
DataObjectGetInput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetInput (DataObjectPointerArraySizeType idx) const
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType num, DataObject *input)
 
virtual void AddInput (DataObject *input)
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
DataObjectGetPrimaryInput ()
 
const DataObjectGetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
virtual void SetPrimaryInput (DataObject *input)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredInputs () const
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
void SetRequiredInputNames (const NameArray &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
DataObjectGetOutput (const DataObjectIdentifierType &key)
 
const DataObjectGetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObjectGetOutput (DataObjectPointerArraySizeType idx)
 
const DataObjectGetOutput (DataObjectPointerArraySizeType idx) const
 
virtual void SetOutput (const DataObjectIdentifierType &key, DataObject *output)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
DataObjectGetPrimaryOutput ()
 
const DataObjectGetPrimaryOutput () const
 
virtual void SetPrimaryOutput (DataObject *output)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType num, DataObject *output)
 
virtual void AddOutput (DataObject *output)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual const DataObjectPointerArraySizeTypeGetNumberOfRequiredOutputs () const
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
virtual void VerifyPreconditions () ITKv5_CONST
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
virtual void PropagateResetPipeline ()
 
virtual void ReleaseInputs ()
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void ThreaderUpdateProgressOff ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
 ~Object () override
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &time)
 
- 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 ()
 
- Static Protected Member Functions inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
static const ImageRegionSplitterBaseGetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ProcessObject
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- Protected Attributes inherited from itk::ImageSource< VectorImage< TProbabilityPrecisionType, TInputImage::ImageDimension > >
bool m_DynamicMultiThreading
 
- Protected Attributes inherited from itk::ProcessObject
bool m_Updating
 
TimeStamp m_OutputInformationMTime
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount
 

Detailed Description

template<typename TInputImage, typename TProbabilityPrecisionType = float>
class itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >

This filter is intended to be used as a helper class to initialize the BayesianClassifierImageFilter.

The goal of this filter is to generate a membership image that indicates the membership of each pixel to each class. These membership images are fed as input to the Bayesian classifier filter.
Parameters
Number of classes: This defines the number of classes, which will determine the number of membership images that will be generated. The user must specify this.
Membership functions: The user can optionally plugin in any membership function. The number of membership functions plugged in should be the same as the number of classes. If the user does not supply membership functions, the filter will generate membership functions for you. These functions are Gaussian density functions centered around 'n' pixel intensity values, $ I_k $. These 'n' values are obtained by running K-means on the image. In other words, the default behaviour of the filter is to generate Gaussian mixture model for the input image.
Inputs and Outputs
The filter takes a scalar Image as input and generates a VectorImage, each component $ c $ of which represents memberships of each pixel to the class $ c $.
Template parameters
This filter is templated over the input image type and the data type used to represent the probabilities (defaults to float).
Author
John Melonakos, Georgia Tech
Note
This work is part of the National Alliance for Medical Image Computing (NAMIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149.
See also
BayesianClassifierImageFilter
VectorImage
Examples
Examples/Statistics/BayesianClassifierInitializer.cxx.

Definition at line 77 of file itkBayesianClassifierInitializationImageFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ConstPointer = SmartPointer<const Self>

◆ InputImageIteratorType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputImageIteratorType = ImageRegionConstIterator<InputImageType>

Input image iterators

Definition at line 103 of file itkBayesianClassifierInitializationImageFilter.h.

◆ InputImageType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputImageType = TInputImage

◆ InputPixelType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InputPixelType = typename InputImageType::PixelType

Pixel types.

Definition at line 106 of file itkBayesianClassifierInitializationImageFilter.h.

◆ MeasurementVectorType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MeasurementVectorType = Vector<InputPixelType, 1>

Type of the Measurement

Definition at line 118 of file itkBayesianClassifierInitializationImageFilter.h.

◆ MembershipFunctionContainerPointer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionContainerPointer = typename MembershipFunctionContainerType::Pointer

◆ MembershipFunctionContainerType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionContainerType = VectorContainer<unsigned int, MembershipFunctionPointer>

Membership function container

Definition at line 125 of file itkBayesianClassifierInitializationImageFilter.h.

◆ MembershipFunctionPointer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionPointer = typename MembershipFunctionType::Pointer

◆ MembershipFunctionType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipFunctionType = Statistics::MembershipFunctionBase<MeasurementVectorType>

Type of the density functions

Definition at line 121 of file itkBayesianClassifierInitializationImageFilter.h.

◆ MembershipImageIteratorType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImageIteratorType = ImageRegionIterator<MembershipImageType>

◆ MembershipImagePointer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImagePointer = typename MembershipImageType::Pointer

◆ MembershipImageType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipImageType = VectorImage<ProbabilityPrecisionType, Self::Dimension>

Image Type and Pixel type for the images representing the membership of a pixel to a particular class. This image has arrays as pixels, the number of elements in the array is the same as the number of classes to be used.

Definition at line 112 of file itkBayesianClassifierInitializationImageFilter.h.

◆ MembershipPixelType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::MembershipPixelType = typename MembershipImageType::PixelType

◆ OutputImageType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputImageType = VectorImage<ProbabilityPrecisionType, Self::Dimension>

◆ OutputPixelType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::OutputPixelType = typename OutputImageType::PixelType

◆ Pointer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Pointer = SmartPointer<Self>

◆ ProbabilityPrecisionType

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::ProbabilityPrecisionType = TProbabilityPrecisionType

◆ Self

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Self = BayesianClassifierInitializationImageFilter

Standard class type aliases.

Definition at line 84 of file itkBayesianClassifierInitializationImageFilter.h.

◆ Superclass

template<typename TInputImage , typename TProbabilityPrecisionType = float>
using itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Superclass = ImageToImageFilter<InputImageType, OutputImageType>

Constructor & Destructor Documentation

◆ BayesianClassifierInitializationImageFilter()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::BayesianClassifierInitializationImageFilter ( )
protected

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

◆ ~BayesianClassifierInitializationImageFilter()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::~BayesianClassifierInitializationImageFilter ( )
overrideprotecteddefault

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Member Function Documentation

◆ CreateAnother()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual::itk::LightObject::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::CreateAnother ( ) const
virtual

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::Object.

◆ GenerateData()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GenerateData ( )
overrideprotectedvirtual

Here is where the prior and membership probability vector images are created.

Reimplemented from itk::ProcessObject.

◆ GenerateOutputInformation()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GenerateOutputInformation ( )
overridevirtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Reimplemented from itk::ProcessObject.

◆ GetMembershipFunctionContainer()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual const MembershipFunctionContainerType* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetMembershipFunctionContainer ( ) const
virtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

◆ GetModifiableMembershipFunctionContainer()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual MembershipFunctionContainerType* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetModifiableMembershipFunctionContainer ( )
virtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

◆ GetNameOfClass()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual const char* itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetNameOfClass ( ) const
virtual

◆ GetNumberOfClasses()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::GetNumberOfClasses ( ) const
virtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

◆ InitializeMembershipFunctions()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::InitializeMembershipFunctions ( )
protectedvirtual

Initialize the membership functions. This will be called only if the membership function hasn't already been set. This method initializes membership functions using Gaussian density functions centered around the means computed using Kmeans.

◆ New()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
static Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::PrintSelf ( std::ostream &  os,
Indent  indent 
) const
overrideprotectedvirtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Reimplemented from itk::ProcessObject.

◆ SetMembershipFunctions()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::SetMembershipFunctions ( MembershipFunctionContainerType densityFunctionContainer)
virtual

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

◆ SetNumberOfClasses()

template<typename TInputImage , typename TProbabilityPrecisionType = float>
virtual void itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::SetNumberOfClasses ( unsigned int  _arg)
virtual

Set/Get methods for the number of classes. The user must supply this.

Member Data Documentation

◆ Dimension

template<typename TInputImage , typename TProbabilityPrecisionType = float>
constexpr unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::Dimension = InputImageType ::ImageDimension
staticconstexpr

Dimension of the input image

Definition at line 89 of file itkBayesianClassifierInitializationImageFilter.h.

◆ m_MembershipFunctionContainer

template<typename TInputImage , typename TProbabilityPrecisionType = float>
MembershipFunctionContainerType::Pointer itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_MembershipFunctionContainer
private

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Definition at line 179 of file itkBayesianClassifierInitializationImageFilter.h.

◆ m_NumberOfClasses

template<typename TInputImage , typename TProbabilityPrecisionType = float>
unsigned int itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_NumberOfClasses { 0 }
private

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Definition at line 177 of file itkBayesianClassifierInitializationImageFilter.h.

◆ m_UserSuppliesMembershipFunctions

template<typename TInputImage , typename TProbabilityPrecisionType = float>
bool itk::BayesianClassifierInitializationImageFilter< TInputImage, TProbabilityPrecisionType >::m_UserSuppliesMembershipFunctions { false }
private

Method to set/get the density functions. Here you can set a vector container of density functions. If no density functions are specified, the filter will create ones for you. These default density functions are Gaussian density functions centered around the K-means of the input image.

Definition at line 176 of file itkBayesianClassifierInitializationImageFilter.h.


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