ITK 6.0.0
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itk::MRFImageFilter< TInputImage, TClassifiedImage > Class Template Reference
Data Processing Objects » Filters » Image Filters » Image Segmentation Filters » Region-Based Segmentation Filters » Markov Random Field-based Filters | Group Segmentation » Module ITKMarkovRandomFieldsClassifiers

#include <itkMRFImageFilter.h>

Detailed Description

template<typename TInputImage, typename TClassifiedImage>
class itk::MRFImageFilter< TInputImage, TClassifiedImage >

Implementation of a labeler object that uses Markov Random Fields to classify pixels in an image data set.

This object classifies pixels based on a Markov Random Field (MRF) model. This implementation uses the maximum a posteriori (MAP) estimates for modeling the MRF. The object traverses the data set and uses the model generated by the Mahalanobis distance classifier to get the distance between each pixel in the data set to a set of known classes, updates the distances by evaluating the influence of its neighboring pixels (based on a MRF model) and finally, classifies each pixel to the class which has the minimum distance to that pixel (taking the neighborhood influence under consideration). DoNeighborhoodOperation is the function that can be modified to achieve different flavors of MRF filters in derived classes.

The classified initial labeled image is needed. It is important that the number of expected classes be set before calling the classifier. In our case we have used the ImageClassifier using a Gaussian model to generate the initial labels. This classifier requires the user to ensure that an appropriate membership function is provided. See the documentation of the image classifier class for more information.

The influence of a neighborhood on a given pixel's classification (the MRF term) is computed by calculating a weighted sum of number of class labels in a three dimensional neighborhood. The basic idea of this neighborhood influence is that if a large number of neighbors of a pixel are of one class, then the current pixel is likely to be of the same class.

The dimensions of the neighborhood are the same as the input image dimensions, and values of the weighting parameters are either specified by the user or through the beta matrix parameter. The default weighting table is generated during object construction. The following table shows an example of a 3 x 3 x 3 neighborhood and the weighting values used. A 3 x 3 x 3 kernel is used where each value is a nonnegative parameter, which encourages neighbors to be of the same class. In this example, the influence of the pixels in the same slice is assigned a weight 1.7. The influence of the pixels in the same location in the previous and next slice is assigned a weight 1.5. A weight of 1.3 is assigned to the influence of the north, south, east, west, and diagonal pixels in the previous and next slices.

\[\begin{array}{ccc} \begin{array}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.3 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{array} & \begin{array}{|c|c|c|} 1.7 & 1.7 & 1.7 \\ 1.7 & 0 & 1.7 \\ 1.7 & 1.7 & 1.7 \\ \end{array} & \begin{array}{|c|c|c|} 1.3 & 1.3 & 1.3 \\ 1.5 & 1.5 & 1.3 \\ 1.3 & 1.3 & 1.3 \\ \end{array} \\ \end{array}\]

The user needs to set the neighborhood size using the SetNeighborhoodRadius function. The details on the semantics of a neighborhood can be found in the documentation associated with the itkNeighborhood and related objects. NOTE: The size of the neighborhood must match the size of the neighborhood weighting parameters set by the user.

For minimization of the MRF labeling function the MinimizeFunctional virtual method is called. For our current implementation we use the iterated conditional modes (ICM) algorithm described in [10].

In each iteration, the algorithm visits each pixel in turn and determines whether to update its classification by computing the influence of the classification of the pixel's neighbors and of the intensity data. On each iteration after the first, we reexamine the classification of a pixel only if the classification of some of its neighbors has changed in the previous iteration. The pixels' classification is updated using a synchronous scheme (iteration by iteration) until the error reaches less than the threshold or the number of iteration exceed the maximum set number of iterations. Note: The current implementation supports betaMatrix default weight for two and three dimensional images only. The default for higher dimension is set to unity. This should be overridden by custom weights after filter initialization.

See also
Neighborhood
ImageIterator
NeighborhoodIterator
Classifier
Examples
Examples/Statistics/ScalarImageMarkovRandomField1.cxx.

Definition at line 148 of file itkMRFImageFilter.h.

+ Inheritance diagram for itk::MRFImageFilter< TInputImage, TClassifiedImage >:
+ Collaboration diagram for itk::MRFImageFilter< TInputImage, TClassifiedImage >:

Public Types

using ClassifierType = ImageClassifierBase<TInputImage, TClassifiedImage>
 
using ConstPointer = SmartPointer<const Self>
 
using IndexValueType = typename LabelledImageIndexType::IndexValueType
 
using InputImageConstPointer = typename TInputImage::ConstPointer
 
using InputImageFaceListIterator = typename InputImageFaceListType::iterator
 
using InputImageFaceListType = typename InputImageFacesCalculator::FaceListType
 
using InputImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>
 
using InputImageNeighborhoodIterator = ConstNeighborhoodIterator<TInputImage>
 
using InputImageNeighborhoodRadiusType = typename InputImageNeighborhoodIterator::RadiusType
 
using InputImagePixelType = typename TInputImage::PixelType
 
using InputImagePointer = typename TInputImage::Pointer
 
using InputImageRegionConstIterator = ImageRegionConstIterator<TInputImage>
 
using InputImageRegionIterator = ImageRegionIterator<TInputImage>
 
using InputImageRegionType = typename TInputImage::RegionType
 
using InputImageType = TInputImage
 
using LabelledImageFaceListIterator = typename LabelledImageFaceListType::iterator
 
using LabelledImageFaceListType = typename LabelledImageFacesCalculator::FaceListType
 
using LabelledImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TClassifiedImage>
 
using LabelledImageIndexType = typename TClassifiedImage::IndexType
 
using LabelledImageNeighborhoodIterator = NeighborhoodIterator<TClassifiedImage>
 
using LabelledImageNeighborhoodRadiusType = typename LabelledImageNeighborhoodIterator::RadiusType
 
using LabelledImageOffsetType = typename TClassifiedImage::OffsetType
 
using LabelledImagePixelType = typename TClassifiedImage::PixelType
 
using LabelledImagePointer = typename TClassifiedImage::Pointer
 
using LabelledImageRegionIterator = ImageRegionIterator<TClassifiedImage>
 
using LabelledImageRegionType = typename TClassifiedImage::RegionType
 
using MRFStopEnum = MRFImageFilterEnums::MRFStop
 
using NeighborhoodRadiusType = typename TInputImage::SizeType
 
using Pointer = SmartPointer<Self>
 
using Self = MRFImageFilter
 
using SizeType = typename TInputImage::SizeType
 
using Superclass = ImageToImageFilter<TInputImage, TClassifiedImage>
 
using TrainingImagePixelType = typename TClassifiedImage::PixelType
 
using TrainingImagePointer = typename TClassifiedImage::Pointer
 
- Public Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using ConstPointer
 
using InputImageConstPointer
 
using InputImagePixelType
 
using InputImagePointer
 
using InputImageRegionType
 
using InputImageType
 
typedef typename OutputImageType::PixelType OutputImagePixelType
 
using OutputImagePixelType
 
typedef typename OutputImageType::RegionType OutputImageRegionType
 
using OutputImageRegionType
 
using Pointer
 
using Self
 
using Superclass
 
- Public Types inherited from itk::ImageSource< TOutputImage >
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 = TOutputImage
 
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 std::vector< double > GetMRFNeighborhoodWeight ()
 
const char * GetNameOfClass () const override
 
const NeighborhoodRadiusType GetNeighborhoodRadius () const
 
virtual const unsigned int & GetNumberOfIterations () const
 
virtual const MRFStopEnum & GetStopCondition () const
 
void SetClassifier (typename ClassifierType::Pointer ptrToClassifier)
 
virtual void SetMRFNeighborhoodWeight (std::vector< double > betaMatrix)
 
void SetNeighborhoodRadius (const NeighborhoodRadiusType &)
 
void SetNeighborhoodRadius (const SizeValueType *radiusArray)
 
void SetNeighborhoodRadius (const SizeValueType)
 
virtual void SetNumberOfClasses (unsigned int _arg)
 
virtual unsigned int GetNumberOfClasses () const
 
virtual void SetMaximumNumberOfIterations (unsigned int _arg)
 
virtual unsigned int GetMaximumNumberOfIterations () const
 
virtual void SetErrorTolerance (double _arg)
 
virtual double GetErrorTolerance () const
 
virtual void SetSmoothingFactor (double _arg)
 
virtual double GetSmoothingFactor () const
 
- Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
const InputImageType * GetInput () const
 
const InputImageType * GetInput () const
 
const InputImageType * GetInput (unsigned int idx) const
 
const InputImageType * GetInput (unsigned int idx) const
 
void PopBackInput () override
 
void PopBackInput () override
 
void PopFrontInput () override
 
void PopFrontInput () override
 
virtual void PushBackInput (const InputImageType *input)
 
virtual void PushBackInput (const InputImageType *input)
 
virtual void PushFrontInput (const InputImageType *input)
 
virtual void PushFrontInput (const InputImageType *input)
 
virtual void SetInput (const InputImageType *input)
 
virtual void SetInput (const InputImageType *input)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetInput (unsigned int, const TInputImage *image)
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetCoordinateTolerance (double _arg)
 
virtual double GetCoordinateTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
virtual void SetDirectionTolerance (double _arg)
 
virtual double GetDirectionTolerance () const
 
- Public Member Functions inherited from itk::ImageSource< TOutputImage >
OutputImageType * GetOutput (unsigned int idx)
 
OutputImageType * GetOutput ()
 
const OutputImageType * GetOutput () const
 
virtual void GraftOutput (DataObject *graft)
 
virtual void GraftOutput (const DataObjectIdentifierType &key, DataObject *graft)
 
virtual void GraftNthOutput (unsigned int idx, DataObject *graft)
 
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 const bool & GetAbortGenerateData () const
 
DataObjectPointerArray GetIndexedInputs ()
 
DataObjectPointerArray GetIndexedOutputs ()
 
NameArray GetInputNames () const
 
DataObjectPointerArray GetInputs ()
 
MultiThreaderType * GetMultiThreader () const
 
const char * GetNameOfClass () const override
 
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 PrepareOutputs ()
 
virtual void PropagateRequestedRegion (DataObject *output)
 
virtual void ResetPipeline ()
 
virtual void SetAbortGenerateData (bool _arg)
 
void SetMultiThreader (MultiThreaderType *threader)
 
virtual void Update ()
 
virtual void UpdateLargestPossibleRegion ()
 
virtual void UpdateOutputData (DataObject *output)
 
virtual void UpdateOutputInformation ()
 
void UpdateProgress (float progress)
 
virtual void SetReleaseDataFlag (bool val)
 
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 ThreadIdType & GetNumberOfWorkUnits () const
 
- Public Member Functions inherited from itk::Object
unsigned long AddObserver (const EventObject &event, Command *cmd) 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) const
 
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
 

Static Public Member Functions

static Pointer New ()
 
- Static Public Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
static double GetGlobalDefaultCoordinateTolerance ()
 
static double GetGlobalDefaultCoordinateTolerance ()
 
static double GetGlobalDefaultDirectionTolerance ()
 
static double GetGlobalDefaultDirectionTolerance ()
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static void SetGlobalDefaultCoordinateTolerance (double)
 
static void SetGlobalDefaultDirectionTolerance (double)
 
static void SetGlobalDefaultDirectionTolerance (double)
 
- 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 ()
 

Static Public Attributes

static constexpr unsigned int ClassifiedImageDimension = TClassifiedImage::ImageDimension
 
static constexpr unsigned int InputImageDimension = TInputImage::ImageDimension
 
- Static Public Attributes inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int InputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
static constexpr unsigned int OutputImageDimension
 
- Static Public Attributes inherited from itk::ImageSource< TOutputImage >
static constexpr unsigned int OutputImageDimension = TOutputImage::ImageDimension
 

Protected Types

using LabelStatusImageIterator = ImageRegionIterator<LabelStatusImageType>
 
using LabelStatusImageNeighborhoodIterator = NeighborhoodIterator<LabelStatusImageType>
 
using LabelStatusImagePointer = typename LabelStatusImageType::Pointer
 
using LabelStatusImageType = Image<int, Self::InputImageDimension>
 
using LabelStatusIndexType = typename LabelStatusImageType::IndexType
 
using LabelStatusRegionType = typename LabelStatusImageType::RegionType
 
- Protected Types inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
using InputToOutputRegionCopierType
 
using OutputToInputRegionCopierType
 

Protected Member Functions

void Allocate ()
 
virtual void ApplyMRFImageFilter ()
 
virtual void DoNeighborhoodOperation (const InputImageNeighborhoodIterator &imageIter, LabelledImageNeighborhoodIterator &labelledIter, LabelStatusImageNeighborhoodIterator &labelStatusIter)
 
void EnlargeOutputRequestedRegion (DataObject *) override
 
void GenerateData () override
 
void GenerateInputRequestedRegion () override
 
void GenerateOutputInformation () override
 
virtual void MinimizeFunctional ()
 
 MRFImageFilter ()
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 ~MRFImageFilter () override=default
 
- Protected Member Functions inherited from itk::ImageToImageFilter< TInputImage, TClassifiedImage >
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyInputRegionToOutputRegion (OutputImageRegionType &destRegion, const InputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
virtual void CallCopyOutputRegionToInputRegion (InputImageRegionType &destRegion, const OutputImageRegionType &srcRegion)
 
 ImageToImageFilter ()
 
 ImageToImageFilter ()
 
void VerifyInputInformation () const override
 
void VerifyInputInformation () const override
 
 ~ImageToImageFilter () override=default
 
 ~ImageToImageFilter () override=default
 
- Protected Member Functions inherited from itk::ImageSource< TOutputImage >
virtual void AfterThreadedGenerateData ()
 
virtual void AllocateOutputs ()
 
virtual void BeforeThreadedGenerateData ()
 
void ClassicMultiThread (ThreadFunctionType callbackFunction)
 
virtual const ImageRegionSplitterBase * GetImageRegionSplitter () const
 
 ImageSource ()
 
virtual unsigned int SplitRequestedRegion (unsigned int i, unsigned int pieces, OutputImageRegionType &splitRegion)
 
 ~ImageSource () override=default
 
virtual void ThreadedGenerateData (const OutputImageRegionType &region, ThreadIdType threadId)
 
virtual void DynamicThreadedGenerateData (const OutputImageRegionType &outputRegionForThread)
 
virtual bool GetDynamicMultiThreading () const
 
virtual void SetDynamicMultiThreading (bool _arg)
 
virtual void DynamicMultiThreadingOn ()
 
virtual void DynamicMultiThreadingOff ()
 
- Protected Member Functions inherited from itk::ProcessObject
virtual void AddInput (DataObject *input)
 
void AddOptionalInputName (const DataObjectIdentifierType &)
 
void AddOptionalInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void AddOutput (DataObject *output)
 
bool AddRequiredInputName (const DataObjectIdentifierType &)
 
bool AddRequiredInputName (const DataObjectIdentifierType &, DataObjectPointerArraySizeType idx)
 
virtual void CacheInputReleaseDataFlags ()
 
virtual void GenerateOutputRequestedRegion (DataObject *output)
 
DataObject * GetInput (const DataObjectIdentifierType &key)
 
const DataObject * GetInput (const DataObjectIdentifierType &key) const
 
virtual const DataObjectPointerArraySizeType & GetNumberOfRequiredInputs () const
 
virtual const DataObjectPointerArraySizeType & GetNumberOfRequiredOutputs () const
 
bool IsIndexedInputName (const DataObjectIdentifierType &) const
 
bool IsIndexedOutputName (const DataObjectIdentifierType &) const
 
bool IsRequiredInputName (const DataObjectIdentifierType &) const
 
DataObjectPointerArraySizeType MakeIndexFromInputName (const DataObjectIdentifierType &name) const
 
DataObjectPointerArraySizeType MakeIndexFromOutputName (const DataObjectIdentifierType &name) const
 
DataObjectIdentifierType MakeNameFromInputIndex (DataObjectPointerArraySizeType idx) const
 
DataObjectIdentifierType MakeNameFromOutputIndex (DataObjectPointerArraySizeType idx) const
 
void PrintSelf (std::ostream &os, Indent indent) const override
 
 ProcessObject ()
 
virtual void PropagateResetPipeline ()
 
virtual void PushBackInput (const DataObject *input)
 
virtual void PushFrontInput (const DataObject *input)
 
virtual void ReleaseInputs ()
 
virtual void RemoveInput (const DataObjectIdentifierType &key)
 
virtual void RemoveInput (DataObjectPointerArraySizeType)
 
virtual void RemoveOutput (const DataObjectIdentifierType &key)
 
virtual void RemoveOutput (DataObjectPointerArraySizeType idx)
 
bool RemoveRequiredInputName (const DataObjectIdentifierType &)
 
virtual void RestoreInputReleaseDataFlags ()
 
virtual void SetInput (const DataObjectIdentifierType &key, DataObject *input)
 
virtual void SetNthInput (DataObjectPointerArraySizeType idx, DataObject *input)
 
virtual void SetNthOutput (DataObjectPointerArraySizeType idx, DataObject *output)
 
void SetNumberOfIndexedInputs (DataObjectPointerArraySizeType num)
 
void SetNumberOfIndexedOutputs (DataObjectPointerArraySizeType num)
 
virtual void SetNumberOfRequiredInputs (DataObjectPointerArraySizeType)
 
virtual void SetNumberOfRequiredOutputs (DataObjectPointerArraySizeType _arg)
 
virtual void SetOutput (const DataObjectIdentifierType &name, DataObject *output)
 
virtual void SetPrimaryInput (DataObject *object)
 
virtual void SetPrimaryOutput (DataObject *object)
 
void SetRequiredInputNames (const NameArray &)
 
virtual void VerifyPreconditions () const
 
 ~ProcessObject () override
 
DataObject * GetInput (DataObjectPointerArraySizeType idx)
 
const DataObject * GetInput (DataObjectPointerArraySizeType idx) const
 
DataObject * GetPrimaryInput ()
 
const DataObject * GetPrimaryInput () const
 
virtual void SetPrimaryInputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryInputName () const
 
DataObject * GetOutput (const DataObjectIdentifierType &key)
 
const DataObject * GetOutput (const DataObjectIdentifierType &key) const
 
virtual void SetPrimaryOutputName (const DataObjectIdentifierType &key)
 
virtual const char * GetPrimaryOutputName () const
 
DataObject * GetOutput (DataObjectPointerArraySizeType i)
 
const DataObject * GetOutput (DataObjectPointerArraySizeType i) const
 
DataObject * GetPrimaryOutput ()
 
const DataObject * GetPrimaryOutput () const
 
virtual bool GetThreaderUpdateProgress () const
 
virtual void ThreaderUpdateProgressOn ()
 
virtual void ThreaderUpdateProgressOff ()
 
virtual void SetThreaderUpdateProgress (bool arg)
 
- Protected Member Functions inherited from itk::Object
 Object ()
 
bool PrintObservers (std::ostream &os, Indent indent) const
 
virtual void SetTimeStamp (const TimeStamp &timeStamp)
 
 ~Object () override
 
- 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 Types

using InputImageSizeType = typename TInputImage::SizeType
 
using LabelStatusImageFaceListIterator = typename LabelStatusImageFaceListType::iterator
 
using LabelStatusImageFaceListType = typename LabelStatusImageFacesCalculator::FaceListType
 
using LabelStatusImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<LabelStatusImageType>
 
using LabelStatusImageNeighborhoodRadiusType = typename LabelStatusImageNeighborhoodIterator::RadiusType
 

Private Member Functions

void ApplyICMLabeller ()
 
virtual void SetDefaultMRFNeighborhoodWeight ()
 

Private Attributes

ClassifierType::Pointer m_ClassifierPtr {}
 
double * m_ClassProbability { nullptr }
 
std::vector< double > m_DummyVector {}
 
int m_ErrorCounter { 0 }
 
double m_ErrorTolerance { 0.2 }
 
InputImageNeighborhoodRadiusType m_InputImageNeighborhoodRadius {}
 
unsigned int m_KernelSize {}
 
LabelledImageNeighborhoodRadiusType m_LabelledImageNeighborhoodRadius {}
 
LabelStatusImagePointer m_LabelStatusImage {}
 
LabelStatusImageNeighborhoodRadiusType m_LabelStatusImageNeighborhoodRadius {}
 
std::vector< double > m_MahalanobisDistance {}
 
unsigned int m_MaximumNumberOfIterations { 50 }
 
std::vector< double > m_MRFNeighborhoodWeight {}
 
int m_NeighborhoodSize { 27 }
 
std::vector< double > m_NeighborInfluence {}
 
unsigned int m_NumberOfClasses { 0 }
 
unsigned int m_NumberOfIterations { 0 }
 
double m_SmoothingFactor { 1 }
 
MRFStopEnum m_StopCondition { MRFStopEnum::MaximumNumberOfIterations }
 
int m_TotalNumberOfPixelsInInputImage { 1 }
 
int m_TotalNumberOfValidPixelsInOutputImage { 1 }
 

Additional Inherited Members

- Static Protected Member Functions inherited from itk::ImageSource< TOutputImage >
static const ImageRegionSplitterBase * GetGlobalDefaultSplitter ()
 
static ITK_THREAD_RETURN_FUNCTION_CALL_CONVENTION ThreaderCallback (void *arg)
 
- Static Protected Member Functions inherited from itk::ProcessObject
template<typename TSourceObject>
static void MakeRequiredOutputs (TSourceObject &sourceObject, const DataObjectPointerArraySizeType numberOfRequiredOutputs)
 
static constexpr float progressFixedToFloat (uint32_t fixed)
 
static uint32_t progressFloatToFixed (float f)
 
- Protected Attributes inherited from itk::ImageSource< TOutputImage >
bool m_DynamicMultiThreading { true }
 
- Protected Attributes inherited from itk::ProcessObject
TimeStamp m_OutputInformationMTime {}
 
bool m_Updating {}
 
- Protected Attributes inherited from itk::LightObject
std::atomic< int > m_ReferenceCount {}
 

Member Typedef Documentation

◆ ClassifierType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::ClassifierType = ImageClassifierBase<TInputImage, TClassifiedImage>

Type definitions for classifier to be used for the MRF labeling.

Definition at line 217 of file itkMRFImageFilter.h.

◆ ConstPointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::ConstPointer = SmartPointer<const Self>

Definition at line 158 of file itkMRFImageFilter.h.

◆ IndexValueType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::IndexValueType = typename LabelledImageIndexType::IndexValueType

Definition at line 205 of file itkMRFImageFilter.h.

◆ InputImageConstPointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageConstPointer = typename TInputImage::ConstPointer

Definition at line 170 of file itkMRFImageFilter.h.

◆ InputImageFaceListIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListIterator = typename InputImageFaceListType::iterator

Definition at line 234 of file itkMRFImageFilter.h.

◆ InputImageFaceListType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFaceListType = typename InputImageFacesCalculator::FaceListType

Definition at line 232 of file itkMRFImageFilter.h.

◆ InputImageFacesCalculator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage>

Definition at line 230 of file itkMRFImageFilter.h.

◆ InputImageNeighborhoodIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodIterator = ConstNeighborhoodIterator<TInputImage>

Input image neighborhood iterator and kernel size type alias

Definition at line 226 of file itkMRFImageFilter.h.

◆ InputImageNeighborhoodRadiusType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodRadiusType = typename InputImageNeighborhoodIterator::RadiusType

Definition at line 228 of file itkMRFImageFilter.h.

◆ InputImagePixelType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImagePixelType = typename TInputImage::PixelType

Type definition for the input image pixel type.

Definition at line 173 of file itkMRFImageFilter.h.

◆ InputImagePointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImagePointer = typename TInputImage::Pointer

Definition at line 169 of file itkMRFImageFilter.h.

◆ InputImageRegionConstIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator = ImageRegionConstIterator<TInputImage>

Definition at line 180 of file itkMRFImageFilter.h.

◆ InputImageRegionIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator = ImageRegionIterator<TInputImage>

Type definition for the input image region iterator

Definition at line 179 of file itkMRFImageFilter.h.

◆ InputImageRegionType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageRegionType = typename TInputImage::RegionType

Type definition for the input image region type.

Definition at line 176 of file itkMRFImageFilter.h.

◆ InputImageSizeType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageSizeType = typename TInputImage::SizeType
private

Definition at line 386 of file itkMRFImageFilter.h.

◆ InputImageType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageType = TInputImage

Type definition for the input image.

Definition at line 168 of file itkMRFImageFilter.h.

◆ LabelledImageFaceListIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListIterator = typename LabelledImageFaceListType::iterator

Definition at line 245 of file itkMRFImageFilter.h.

◆ LabelledImageFaceListType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListType = typename LabelledImageFacesCalculator::FaceListType

Definition at line 243 of file itkMRFImageFilter.h.

◆ LabelledImageFacesCalculator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TClassifiedImage>

Definition at line 241 of file itkMRFImageFilter.h.

◆ LabelledImageIndexType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType = typename TClassifiedImage::IndexType

Type definition for the classified image index type.

Definition at line 204 of file itkMRFImageFilter.h.

◆ LabelledImageNeighborhoodIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodIterator = NeighborhoodIterator<TClassifiedImage>

Labeled image neighborhood iterator type alias

Definition at line 237 of file itkMRFImageFilter.h.

◆ LabelledImageNeighborhoodRadiusType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodRadiusType = typename LabelledImageNeighborhoodIterator::RadiusType

Definition at line 239 of file itkMRFImageFilter.h.

◆ LabelledImageOffsetType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageOffsetType = typename TClassifiedImage::OffsetType

Type definition for the classified image offset type.

Definition at line 208 of file itkMRFImageFilter.h.

◆ LabelledImagePixelType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType = typename TClassifiedImage::PixelType

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Definition at line 197 of file itkMRFImageFilter.h.

◆ LabelledImagePointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImagePointer = typename TClassifiedImage::Pointer

Type definitions for the labelled image. It is derived from the training image.

Definition at line 193 of file itkMRFImageFilter.h.

◆ LabelledImageRegionIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator = ImageRegionIterator<TClassifiedImage>

Type definition for the input image region iterator

Definition at line 211 of file itkMRFImageFilter.h.

◆ LabelledImageRegionType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelledImageRegionType = typename TClassifiedImage::RegionType

Type definitions for the classified image pixel type. It has to be the same type as the training image.

Definition at line 201 of file itkMRFImageFilter.h.

◆ LabelStatusImageFaceListIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFaceListIterator = typename LabelStatusImageFaceListType::iterator
private

Definition at line 394 of file itkMRFImageFilter.h.

◆ LabelStatusImageFaceListType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFaceListType = typename LabelStatusImageFacesCalculator::FaceListType
private

Definition at line 392 of file itkMRFImageFilter.h.

◆ LabelStatusImageFacesCalculator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageFacesCalculator = NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<LabelStatusImageType>
private

Definition at line 390 of file itkMRFImageFilter.h.

◆ LabelStatusImageIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageIterator = ImageRegionIterator<LabelStatusImageType>
protected

Definition at line 362 of file itkMRFImageFilter.h.

◆ LabelStatusImageNeighborhoodIterator

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageNeighborhoodIterator = NeighborhoodIterator<LabelStatusImageType>
protected

Labelled status image neighborhood iterator type alias

Definition at line 365 of file itkMRFImageFilter.h.

◆ LabelStatusImageNeighborhoodRadiusType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageNeighborhoodRadiusType = typename LabelStatusImageNeighborhoodIterator::RadiusType
private

Definition at line 388 of file itkMRFImageFilter.h.

◆ LabelStatusImagePointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImagePointer = typename LabelStatusImageType::Pointer
protected

Definition at line 361 of file itkMRFImageFilter.h.

◆ LabelStatusImageType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusImageType = Image<int, Self::InputImageDimension>
protected

Definition at line 358 of file itkMRFImageFilter.h.

◆ LabelStatusIndexType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusIndexType = typename LabelStatusImageType::IndexType
protected

Definition at line 359 of file itkMRFImageFilter.h.

◆ LabelStatusRegionType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::LabelStatusRegionType = typename LabelStatusImageType::RegionType
protected

Definition at line 360 of file itkMRFImageFilter.h.

◆ MRFStopEnum

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::MRFStopEnum = MRFImageFilterEnums::MRFStop

Definition at line 315 of file itkMRFImageFilter.h.

◆ NeighborhoodRadiusType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::NeighborhoodRadiusType = typename TInputImage::SizeType

Radius type alias support

Definition at line 223 of file itkMRFImageFilter.h.

◆ Pointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::Pointer = SmartPointer<Self>

Definition at line 157 of file itkMRFImageFilter.h.

◆ Self

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::Self = MRFImageFilter

Standard class type aliases.

Definition at line 155 of file itkMRFImageFilter.h.

◆ SizeType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::SizeType = typename TInputImage::SizeType

Size and value type alias support

Definition at line 220 of file itkMRFImageFilter.h.

◆ Superclass

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::Superclass = ImageToImageFilter<TInputImage, TClassifiedImage>

Definition at line 156 of file itkMRFImageFilter.h.

◆ TrainingImagePixelType

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePixelType = typename TClassifiedImage::PixelType

Type definitions for the training image pixel type.

Definition at line 189 of file itkMRFImageFilter.h.

◆ TrainingImagePointer

template<typename TInputImage, typename TClassifiedImage>
using itk::MRFImageFilter< TInputImage, TClassifiedImage >::TrainingImagePointer = typename TClassifiedImage::Pointer

Type definitions for the training image.

Definition at line 186 of file itkMRFImageFilter.h.

Constructor & Destructor Documentation

◆ MRFImageFilter()

template<typename TInputImage, typename TClassifiedImage>
itk::MRFImageFilter< TInputImage, TClassifiedImage >::MRFImageFilter ( )
protected

Referenced by GetNameOfClass().

◆ ~MRFImageFilter()

template<typename TInputImage, typename TClassifiedImage>
itk::MRFImageFilter< TInputImage, TClassifiedImage >::~MRFImageFilter ( )
overrideprotecteddefault

Member Function Documentation

◆ Allocate()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::Allocate ( )
protected

Allocate memory for labelled images.

◆ ApplyICMLabeller()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::ApplyICMLabeller ( )
private

Apply the ICM algorithm to label the images.

◆ ApplyMRFImageFilter()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::ApplyMRFImageFilter ( )
protectedvirtual

Apply MRF Classifier. In this example the images are labelled using Iterated Conditional Mode algorithm [10].

◆ CreateAnother()

template<typename TInputImage, typename TClassifiedImage>
virtual::itk::LightObject::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::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::LightObject.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ DoNeighborhoodOperation()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::DoNeighborhoodOperation ( const InputImageNeighborhoodIterator & imageIter,
LabelledImageNeighborhoodIterator & labelledIter,
LabelStatusImageNeighborhoodIterator & labelStatusIter )
protectedvirtual

Perform the MRF operation with each neighborhood.

◆ EnlargeOutputRequestedRegion()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::EnlargeOutputRequestedRegion ( DataObject * output)
overrideprotectedvirtual

Give the process object a chance to indicate that it will produce more output than it was requested to produce. For example, many imaging filters must compute the entire output at once or can only produce output in complete slices. Such filters cannot handle smaller requested regions. These filters must provide an implementation of this method, setting the output requested region to the size they will produce. By default, a process object does not modify the size of the output requested region.

Reimplemented from itk::ProcessObject.

◆ GenerateData()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::GenerateData ( )
overrideprotectedvirtual

A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling DynamicThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.

See also
ThreadedGenerateData()

Reimplemented from itk::ImageSource< TOutputImage >.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ GenerateInputRequestedRegion()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::GenerateInputRequestedRegion ( )
overrideprotectedvirtual

What is the input requested region that is required to produce the output requested region? The base assumption for image processing filters is that the input requested region can be set to match the output requested region. If a filter requires more input (for instance a filter that uses neighborhoods needs more input than output to avoid introducing artificial boundary conditions) or less input (for instance a magnify filter) will have to override this method. In doing so, it should call its superclass' implementation as its first step. Note that imaging filters operate differently than the classes to this point in the class hierarchy. Up till now, the base assumption has been that the largest possible region will be requested of the input.

This implementation of GenerateInputRequestedRegion() only processes the inputs that are a subclass of the ImageBase<InputImageDimension>. If an input is another type of DataObject (including an Image of a different dimension), they are skipped by this method. The subclasses of ImageToImageFilter are responsible for providing an implementation of GenerateInputRequestedRegion() when there are multiple inputs of different types.

See also
ProcessObject::GenerateInputRequestedRegion(), ImageSource::GenerateInputRequestedRegion()

Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.

◆ GenerateOutputInformation()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::GenerateOutputInformation ( )
overrideprotectedvirtual

Generate the information describing the output data. The default implementation of this method will copy information from the input to the output. A filter may override this method if its output will have different information than its input. For instance, a filter that shrinks an image will need to provide an implementation for this method that changes the spacing of the pixels. Such filters should call their superclass' implementation of this method prior to changing the information values they need (i.e. GenerateOutputInformation() should call Superclass::GenerateOutputInformation() prior to changing the information.

Reimplemented from itk::ProcessObject.

◆ GetErrorTolerance()

template<typename TInputImage, typename TClassifiedImage>
virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetErrorTolerance ( ) const
virtual

Set/Get the error tolerance level which is used as a threshold to quit the iterations

◆ GetMaximumNumberOfIterations()

template<typename TInputImage, typename TClassifiedImage>
virtual unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations ( ) const
virtual

Set/Get the number of iteration of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ GetMRFNeighborhoodWeight()

template<typename TInputImage, typename TClassifiedImage>
virtual std::vector< double > itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetMRFNeighborhoodWeight ( )
inlinevirtual

Definition at line 310 of file itkMRFImageFilter.h.

References m_MRFNeighborhoodWeight.

◆ GetNameOfClass()

template<typename TInputImage, typename TClassifiedImage>
const char * itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNameOfClass ( ) const
overridevirtual
See also
LightObject::GetNameOfClass()

Reimplemented from itk::ImageToImageFilter< TInputImage, TClassifiedImage >.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

References MRFImageFilter().

◆ GetNeighborhoodRadius()

template<typename TInputImage, typename TClassifiedImage>
const NeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNeighborhoodRadius ( ) const
inline

Get the neighborhood radius

Definition at line 290 of file itkMRFImageFilter.h.

References InputImageDimension, and m_InputImageNeighborhoodRadius.

◆ GetNumberOfClasses()

template<typename TInputImage, typename TClassifiedImage>
virtual unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses ( ) const
virtual

Set/Get the number of classes.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ GetNumberOfIterations()

template<typename TInputImage, typename TClassifiedImage>
virtual const unsigned int & itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetNumberOfIterations ( ) const
virtual

◆ GetSmoothingFactor()

template<typename TInputImage, typename TClassifiedImage>
virtual double itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetSmoothingFactor ( ) const
virtual

Set/Get the degree of smoothing desired

◆ GetStopCondition()

template<typename TInputImage, typename TClassifiedImage>
virtual const MRFStopEnum & itk::MRFImageFilter< TInputImage, TClassifiedImage >::GetStopCondition ( ) const
virtual

Get condition that stops the MRF filter (Number of Iterations / Error tolerance )

◆ MinimizeFunctional()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::MinimizeFunctional ( )
protectedvirtual

Minimize the functional to be used.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ New()

template<typename TInputImage, typename TClassifiedImage>
static Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::New ( )
static

Method for creation through the object factory.

◆ PrintSelf()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::PrintSelf ( std::ostream & os,
Indent indent ) const
overrideprotectedvirtual

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::ImageToImageFilter< TInputImage, TClassifiedImage >.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ SetClassifier()

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetClassifier ( typename ClassifierType::Pointer ptrToClassifier)

Set the pointer to the classifier being used.

◆ SetDefaultMRFNeighborhoodWeight()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetDefaultMRFNeighborhoodWeight ( )
privatevirtual

Set/Get the weighting parameters (Beta Matrix). A default 3 x 3 x 3 matrix is provided. However, the user is allowed to override it with their choice of weights for a 3 x 3 x 3 matrix.

◆ SetErrorTolerance()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetErrorTolerance ( double _arg)
virtual

Set/Get the error tolerance level which is used as a threshold to quit the iterations

◆ SetMaximumNumberOfIterations()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetMaximumNumberOfIterations ( unsigned int _arg)
virtual

Set/Get the number of iteration of the Iterated Conditional Mode (ICM) algorithm. A default value is set at 50 iterations.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ SetMRFNeighborhoodWeight()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetMRFNeighborhoodWeight ( std::vector< double > betaMatrix)
virtual

Set the weighting parameters (used in MRF algorithms). This is a function allowing the users to set the weight matrix by providing a a 1D array of weights. The default implementation supports a 3 x 3 x 3 kernel. The labeler needs to be extended for a different kernel size.

◆ SetNeighborhoodRadius() [1/3]

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const NeighborhoodRadiusType & )

Set the neighborhood radius.

◆ SetNeighborhoodRadius() [2/3]

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const SizeValueType * radiusArray)

◆ SetNeighborhoodRadius() [3/3]

template<typename TInputImage, typename TClassifiedImage>
void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const SizeValueType )

Sets the radius for the neighborhood.

Calculates size from the radius, and allocates storage.

◆ SetNumberOfClasses()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses ( unsigned int _arg)
virtual

Set/Get the number of classes.

Reimplemented in itk::RGBGibbsPriorFilter< TInputImage, TClassifiedImage >.

◆ SetSmoothingFactor()

template<typename TInputImage, typename TClassifiedImage>
virtual void itk::MRFImageFilter< TInputImage, TClassifiedImage >::SetSmoothingFactor ( double _arg)
virtual

Set/Get the degree of smoothing desired

Member Data Documentation

◆ ClassifiedImageDimension

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::ClassifiedImageDimension = TClassifiedImage::ImageDimension
staticconstexpr

Labelled Image dimension

Definition at line 214 of file itkMRFImageFilter.h.

◆ InputImageDimension

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::InputImageDimension = TInputImage::ImageDimension
staticconstexpr

Image dimension

Definition at line 183 of file itkMRFImageFilter.h.

Referenced by GetNeighborhoodRadius().

◆ m_ClassifierPtr

template<typename TInputImage, typename TClassifiedImage>
ClassifierType::Pointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ClassifierPtr {}
private

Pointer to the classifier to be used for the MRF labelling.

Definition at line 422 of file itkMRFImageFilter.h.

◆ m_ClassProbability

template<typename TInputImage, typename TClassifiedImage>
double* itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ClassProbability { nullptr }
private

Definition at line 410 of file itkMRFImageFilter.h.

◆ m_DummyVector

template<typename TInputImage, typename TClassifiedImage>
std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_DummyVector {}
private

Definition at line 419 of file itkMRFImageFilter.h.

◆ m_ErrorCounter

template<typename TInputImage, typename TClassifiedImage>
int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ErrorCounter { 0 }
private

Definition at line 404 of file itkMRFImageFilter.h.

◆ m_ErrorTolerance

template<typename TInputImage, typename TClassifiedImage>
double itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_ErrorTolerance { 0.2 }
private

Definition at line 408 of file itkMRFImageFilter.h.

◆ m_InputImageNeighborhoodRadius

template<typename TInputImage, typename TClassifiedImage>
InputImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_InputImageNeighborhoodRadius {}
private

Definition at line 396 of file itkMRFImageFilter.h.

Referenced by GetNeighborhoodRadius().

◆ m_KernelSize

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_KernelSize {}
private

Definition at line 402 of file itkMRFImageFilter.h.

◆ m_LabelledImageNeighborhoodRadius

template<typename TInputImage, typename TClassifiedImage>
LabelledImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelledImageNeighborhoodRadius {}
private

Definition at line 397 of file itkMRFImageFilter.h.

◆ m_LabelStatusImage

template<typename TInputImage, typename TClassifiedImage>
LabelStatusImagePointer itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelStatusImage {}
private

Definition at line 414 of file itkMRFImageFilter.h.

◆ m_LabelStatusImageNeighborhoodRadius

template<typename TInputImage, typename TClassifiedImage>
LabelStatusImageNeighborhoodRadiusType itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_LabelStatusImageNeighborhoodRadius {}
private

Definition at line 398 of file itkMRFImageFilter.h.

◆ m_MahalanobisDistance

template<typename TInputImage, typename TClassifiedImage>
std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_MahalanobisDistance {}
private

Definition at line 418 of file itkMRFImageFilter.h.

◆ m_MaximumNumberOfIterations

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_MaximumNumberOfIterations { 50 }
private

Definition at line 401 of file itkMRFImageFilter.h.

◆ m_MRFNeighborhoodWeight

template<typename TInputImage, typename TClassifiedImage>
std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_MRFNeighborhoodWeight {}
private

Definition at line 416 of file itkMRFImageFilter.h.

Referenced by GetMRFNeighborhoodWeight().

◆ m_NeighborhoodSize

template<typename TInputImage, typename TClassifiedImage>
int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NeighborhoodSize { 27 }
private

Definition at line 405 of file itkMRFImageFilter.h.

◆ m_NeighborInfluence

template<typename TInputImage, typename TClassifiedImage>
std::vector<double> itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NeighborInfluence {}
private

Definition at line 417 of file itkMRFImageFilter.h.

◆ m_NumberOfClasses

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NumberOfClasses { 0 }
private

Definition at line 400 of file itkMRFImageFilter.h.

◆ m_NumberOfIterations

template<typename TInputImage, typename TClassifiedImage>
unsigned int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_NumberOfIterations { 0 }
private

Definition at line 411 of file itkMRFImageFilter.h.

◆ m_SmoothingFactor

template<typename TInputImage, typename TClassifiedImage>
double itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_SmoothingFactor { 1 }
private

Definition at line 409 of file itkMRFImageFilter.h.

◆ m_StopCondition

template<typename TInputImage, typename TClassifiedImage>
MRFStopEnum itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_StopCondition { MRFStopEnum::MaximumNumberOfIterations }
private

Definition at line 412 of file itkMRFImageFilter.h.

◆ m_TotalNumberOfPixelsInInputImage

template<typename TInputImage, typename TClassifiedImage>
int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfPixelsInInputImage { 1 }
private

Definition at line 407 of file itkMRFImageFilter.h.

◆ m_TotalNumberOfValidPixelsInOutputImage

template<typename TInputImage, typename TClassifiedImage>
int itk::MRFImageFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfValidPixelsInOutputImage { 1 }
private

Definition at line 406 of file itkMRFImageFilter.h.

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