#include <otbMarkovRandomFieldFilter.h>

Inheritance diagram for otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >:

Collaboration diagram for otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >:

Public Types
typedef itk::SmartPointer< const Self >	ConstPointer

typedef EnergyFidelityType::Pointer	EnergyFidelityPointer

typedef MRFEnergy< TInputImage, TClassifiedImage >	EnergyFidelityType

typedef EnergyRegularizationType::Pointer	EnergyRegularizationPointer

typedef MRFEnergy< TClassifiedImage, TClassifiedImage >	EnergyRegularizationType

typedef LabelledImageIndexType::IndexValueType	IndexValueType

typedef TInputImage::ConstPointer	InputImageConstPointer

typedef InputImageFaceListType::iterator	InputImageFaceListIterator

typedef InputImageFacesCalculator::FaceListType	InputImageFaceListType

typedef itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TInputImage >	InputImageFacesCalculator

typedef itk::ConstNeighborhoodIterator< TInputImage >	InputImageNeighborhoodIterator

typedef InputImageNeighborhoodIterator::RadiusType	InputImageNeighborhoodRadiusType

typedef TInputImage::PixelType	InputImagePixelType

typedef TInputImage::Pointer	InputImagePointer

typedef itk::ImageRegionConstIterator< TInputImage >	InputImageRegionConstIterator

typedef itk::ImageRegionIterator< TInputImage >	InputImageRegionIterator

typedef TInputImage::RegionType	InputImageRegionType

typedef TInputImage	InputImageType

typedef LabelledImageFaceListType::iterator	LabelledImageFaceListIterator

typedef LabelledImageFacesCalculator::FaceListType	LabelledImageFaceListType

typedef itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator< TClassifiedImage >	LabelledImageFacesCalculator

typedef TClassifiedImage::IndexType	LabelledImageIndexType

typedef itk::NeighborhoodIterator< TClassifiedImage >	LabelledImageNeighborhoodIterator

typedef LabelledImageNeighborhoodIterator::RadiusType	LabelledImageNeighborhoodRadiusType

typedef TClassifiedImage::OffsetType	LabelledImageOffsetType

typedef TClassifiedImage::PixelType	LabelledImagePixelType

typedef TClassifiedImage::Pointer	LabelledImagePointer

typedef itk::ImageRegionConstIterator< TClassifiedImage >	LabelledImageRegionConstIterator

typedef itk::ImageRegionIterator< TClassifiedImage >	LabelledImageRegionIterator

typedef TClassifiedImage::RegionType	LabelledImageRegionType

typedef TClassifiedImage	LabelledImageType

typedef TInputImage::SizeType	NeighborhoodRadiusType

typedef OptimizerType::Pointer	OptimizerPointer

typedef MRFOptimizer	OptimizerType

typedef Superclass::OutputImagePointer	OutputImagePointer

typedef itk::SmartPointer< Self >	Pointer

typedef itk::Statistics::MersenneTwisterRandomVariateGenerator	RandomGeneratorType

typedef SamplerType::Pointer	SamplerPointer

typedef MRFSampler< TInputImage, TClassifiedImage >	SamplerType

typedef MarkovRandomFieldFilter	Self

typedef TInputImage::SizeType	SizeType

typedef itk::ImageToImageFilter< TInputImage, TClassifiedImage >	Superclass

typedef TClassifiedImage::PixelType	TrainingImagePixelType

typedef TClassifiedImage::Pointer	TrainingImagePointer

typedef TClassifiedImage	TrainingImageType

Public Member Functions
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual const char *	GetNameOfClass () const

Static Public Member Functions
static Pointer	New ()

Static Public Attributes
static const unsigned int	ClassifiedImageDimension = TClassifiedImage::ImageDimension

static const unsigned int	InputImageDimension = TInputImage::ImageDimension

enum	StopConditionType { MaximumNumberOfIterations = 1, ErrorTolerance }

typedef TInputImage::SizeType	InputImageSizeType

InputImageNeighborhoodRadiusType	m_InputImageNeighborhoodRadius

LabelledImageNeighborhoodRadiusType	m_LabelledImageNeighborhoodRadius

unsigned int	m_NumberOfClasses

unsigned int	m_MaximumNumberOfIterations

int	m_ErrorCounter

double	m_ImageDeltaEnergy

int	m_NeighborhoodRadius

int	m_TotalNumberOfValidPixelsInOutputImage

int	m_TotalNumberOfPixelsInInputImage

double	m_ErrorTolerance

double	m_SmoothingFactor

unsigned int	m_NumberOfIterations

double	m_Lambda

bool	m_ExternalClassificationSet

StopConditionType	m_StopCondition

TrainingImagePointer	m_TrainingImage

std::vector< double >	m_MRFNeighborhoodWeight

std::vector< double >	m_NeighborInfluence

std::vector< double >	m_DummyVector

RandomGeneratorType::Pointer	m_Generator

EnergyRegularizationPointer	m_EnergyRegularization

EnergyFidelityPointer	m_EnergyFidelity

OptimizerPointer	m_Optimizer

SamplerPointer	m_Sampler

virtual void	SetEnergyRegularization (EnergyRegularizationType *_arg)

	itkGetObjectMacro (EnergyRegularization, EnergyRegularizationType)

virtual void	SetEnergyFidelity (EnergyFidelityType *_arg)

	itkGetObjectMacro (EnergyFidelity, EnergyFidelityType)

virtual void	SetSampler (SamplerType *_arg)

	itkGetObjectMacro (Sampler, SamplerType)

virtual void	SetOptimizer (OptimizerType *_arg)

	itkGetObjectMacro (Optimizer, OptimizerType)

virtual void	SetNumberOfClasses (unsigned int _arg)

virtual unsigned int	GetNumberOfClasses ()

virtual void	SetMaximumNumberOfIterations (unsigned int _arg)

virtual unsigned int	GetMaximumNumberOfIterations ()

virtual void	SetErrorTolerance (double _arg)

virtual double	GetErrorTolerance ()

virtual void	SetSmoothingFactor (double _arg)

virtual double	GetSmoothingFactor ()

virtual void	SetLambda (double _arg)

virtual double	GetLambda ()

void	SetNeighborhoodRadius (const NeighborhoodRadiusType &)

void	SetNeighborhoodRadius (const unsigned long)

void	SetNeighborhoodRadius (const unsigned long *radiusArray)

const NeighborhoodRadiusType	GetNeighborhoodRadius () const

virtual void	SetTrainingInput (const TrainingImageType *trainingImage)

const TrainingImageType *	GetTrainingInput (void)

virtual const StopConditionType &	GetStopCondition () const

virtual const unsigned int &	GetNumberOfIterations () const

	typedef (itk::Concept::Convertible< unsigned int, LabelledImagePixelType >) UnsignedIntConvertibleToClassifiedCheck

	typedef (itk::Concept::Convertible< LabelledImagePixelType, unsigned int >) ClassifiedConvertibleToUnsignedIntCheck

	typedef (itk::Concept::Convertible< LabelledImagePixelType, int >) ClassifiedConvertibleToIntCheck

	typedef (itk::Concept::Convertible< int, LabelledImagePixelType >) IntConvertibleToClassifiedCheck

	typedef (itk::Concept::SameDimension< InputImageDimension, ClassifiedImageDimension >) SameDimensionCheck

void	InitializeSeed (int seed)

void	InitializeSeed ()

	MarkovRandomFieldFilter ()

	~MarkovRandomFieldFilter () override

void	PrintSelf (std::ostream &os, itk::Indent indent) const override

void	Allocate ()

void	Initialize ()

virtual void	ApplyMarkovRandomFieldFilter ()

void	GenerateData () override

void	GenerateInputRequestedRegion () override

void	EnlargeOutputRequestedRegion (itk::DataObject *) override

void	GenerateOutputInformation () override

	MarkovRandomFieldFilter (const Self &)=delete

void	operator= (const Self &)=delete

virtual void	MinimizeOnce ()

Detailed Description

template<class TInputImage, class TClassifiedImage>
class otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >

This is the class to use the Markov Random Field framework in OTB.

This filter apply a Markov Random Field to an input image. Several components need to be specify:

Fidelity energy (class derived from otb::MRFEnergy): the energy to make sure that the output image is close enough to the reference.
Regularization energy (class derived from otb::MRFEnergy): the energy to make sure that neighborhood pixels have similar values.
Sampler (class derived from otb::MRFSampler): the strategy to propose variations for each pixel.
Optimizer (class derived from otb::MRFOptimizer): the strategy to accept or reject the proposed modification.

An example of usage for this filter is:

markovFilter->SetNumberOfClasses(4);
markovFilter->SetMaximumNumberOfIterations(30);
markovFilter->SetErrorTolerance(0.0);
markovFilter->SetLambda(1.0);
markovFilter->SetNeighborhoodRadius(1);
 
markovFilter->SetEnergyRegularization(energyRegularization);
markovFilter->SetEnergyFidelity(energyFidelity);
markovFilter->SetOptimizer(optimizer);
markovFilter->SetSampler(sampler);

Examples: Markov/MarkovClassification1Example.cxx, Markov/MarkovClassification2Example.cxx, Markov/MarkovRegularizationExample.cxx, and Markov/MarkovRestorationExample.cxx.

Definition at line 86 of file otbMarkovRandomFieldFilter.h.

Member Typedef Documentation

◆ ConstPointer

template<class TInputImage , class TClassifiedImage >

typedef itk::SmartPointer<const Self> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::ConstPointer

Definition at line 93 of file otbMarkovRandomFieldFilter.h.

◆ EnergyFidelityPointer

template<class TInputImage , class TClassifiedImage >

typedef EnergyFidelityType::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::EnergyFidelityPointer

Definition at line 191 of file otbMarkovRandomFieldFilter.h.

◆ EnergyFidelityType

template<class TInputImage , class TClassifiedImage >

typedef MRFEnergy<TInputImage, TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::EnergyFidelityType

Definition at line 188 of file otbMarkovRandomFieldFilter.h.

◆ EnergyRegularizationPointer

template<class TInputImage , class TClassifiedImage >

typedef EnergyRegularizationType::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::EnergyRegularizationPointer

Definition at line 190 of file otbMarkovRandomFieldFilter.h.

◆ EnergyRegularizationType

template<class TInputImage , class TClassifiedImage >

typedef MRFEnergy<TClassifiedImage, TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::EnergyRegularizationType

Set pipeline elements

Definition at line 187 of file otbMarkovRandomFieldFilter.h.

◆ IndexValueType

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageIndexType::IndexValueType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::IndexValueType

Definition at line 142 of file otbMarkovRandomFieldFilter.h.

◆ InputImageConstPointer

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::ConstPointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageConstPointer

Definition at line 105 of file otbMarkovRandomFieldFilter.h.

◆ InputImageFaceListIterator

template<class TInputImage , class TClassifiedImage >

typedef InputImageFaceListType::iterator otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageFaceListIterator

Definition at line 170 of file otbMarkovRandomFieldFilter.h.

◆ InputImageFaceListType

template<class TInputImage , class TClassifiedImage >

typedef InputImageFacesCalculator::FaceListType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageFaceListType

Definition at line 168 of file otbMarkovRandomFieldFilter.h.

◆ InputImageFacesCalculator

template<class TInputImage , class TClassifiedImage >

typedef itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TInputImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageFacesCalculator

Definition at line 166 of file otbMarkovRandomFieldFilter.h.

◆ InputImageNeighborhoodIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::ConstNeighborhoodIterator<TInputImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodIterator

Input image neighborhood iterator and kernel size typedef

Definition at line 162 of file otbMarkovRandomFieldFilter.h.

◆ InputImageNeighborhoodRadiusType

template<class TInputImage , class TClassifiedImage >

typedef InputImageNeighborhoodIterator::RadiusType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageNeighborhoodRadiusType

Definition at line 164 of file otbMarkovRandomFieldFilter.h.

◆ InputImagePixelType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::PixelType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImagePixelType

Type definition for the input image pixel type.

Definition at line 108 of file otbMarkovRandomFieldFilter.h.

◆ InputImagePointer

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImagePointer

Definition at line 104 of file otbMarkovRandomFieldFilter.h.

◆ InputImageRegionConstIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::ImageRegionConstIterator<TInputImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageRegionConstIterator

Definition at line 115 of file otbMarkovRandomFieldFilter.h.

◆ InputImageRegionIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::ImageRegionIterator<TInputImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageRegionIterator

Type definition for the input image region iterator

Definition at line 114 of file otbMarkovRandomFieldFilter.h.

◆ InputImageRegionType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::RegionType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageRegionType

Type definition for the input image region type.

Definition at line 111 of file otbMarkovRandomFieldFilter.h.

◆ InputImageSizeType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageSizeType

protected

Pointer to different elements

Definition at line 334 of file otbMarkovRandomFieldFilter.h.

◆ InputImageType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageType

Type definition for the input image.

Definition at line 100 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageFaceListIterator

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageFaceListType::iterator otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListIterator

Definition at line 181 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageFaceListType

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageFacesCalculator::FaceListType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageFaceListType

Definition at line 179 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageFacesCalculator

template<class TInputImage , class TClassifiedImage >

typedef itk::NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageFacesCalculator

Definition at line 177 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageIndexType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::IndexType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageIndexType

Type definition for the classified image index type.

Definition at line 141 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageNeighborhoodIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::NeighborhoodIterator<TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodIterator

Labelled image neighborhood iterator typedef

Definition at line 173 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageNeighborhoodRadiusType

template<class TInputImage , class TClassifiedImage >

typedef LabelledImageNeighborhoodIterator::RadiusType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageNeighborhoodRadiusType

Definition at line 175 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageOffsetType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::OffsetType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageOffsetType

Type definition for the classified image offset type.

Definition at line 145 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImagePixelType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::PixelType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImagePixelType

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

Definition at line 134 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImagePointer

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImagePointer

Definition at line 130 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageRegionConstIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::ImageRegionConstIterator<TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageRegionConstIterator

Definition at line 150 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageRegionIterator

template<class TInputImage , class TClassifiedImage >

typedef itk::ImageRegionIterator<TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageRegionIterator

Type definition for the input image region iterator

Definition at line 148 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageRegionType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::RegionType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageRegionType

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

Definition at line 138 of file otbMarkovRandomFieldFilter.h.

◆ LabelledImageType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::LabelledImageType

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

Definition at line 129 of file otbMarkovRandomFieldFilter.h.

◆ NeighborhoodRadiusType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::NeighborhoodRadiusType

Radius typedef support.

Definition at line 159 of file otbMarkovRandomFieldFilter.h.

◆ OptimizerPointer

template<class TInputImage , class TClassifiedImage >

typedef OptimizerType::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::OptimizerPointer

Definition at line 197 of file otbMarkovRandomFieldFilter.h.

◆ OptimizerType

template<class TInputImage , class TClassifiedImage >

typedef MRFOptimizer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::OptimizerType

Definition at line 196 of file otbMarkovRandomFieldFilter.h.

◆ OutputImagePointer

template<class TInputImage , class TClassifiedImage >

typedef Superclass::OutputImagePointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::OutputImagePointer

Definition at line 94 of file otbMarkovRandomFieldFilter.h.

◆ Pointer

template<class TInputImage , class TClassifiedImage >

typedef itk::SmartPointer<Self> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::Pointer

Definition at line 92 of file otbMarkovRandomFieldFilter.h.

◆ RandomGeneratorType

template<class TInputImage , class TClassifiedImage >

typedef itk::Statistics::MersenneTwisterRandomVariateGenerator otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::RandomGeneratorType

Typedef for random values.

Definition at line 184 of file otbMarkovRandomFieldFilter.h.

◆ SamplerPointer

template<class TInputImage , class TClassifiedImage >

typedef SamplerType::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SamplerPointer

Definition at line 194 of file otbMarkovRandomFieldFilter.h.

◆ SamplerType

template<class TInputImage , class TClassifiedImage >

typedef MRFSampler<TInputImage, TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SamplerType

Definition at line 193 of file otbMarkovRandomFieldFilter.h.

◆ Self

template<class TInputImage , class TClassifiedImage >

typedef MarkovRandomFieldFilter otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::Self

Standard class typedefs.

Definition at line 90 of file otbMarkovRandomFieldFilter.h.

◆ SizeType

template<class TInputImage , class TClassifiedImage >

typedef TInputImage::SizeType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SizeType

Size and value typedef support.

Definition at line 156 of file otbMarkovRandomFieldFilter.h.

◆ Superclass

template<class TInputImage , class TClassifiedImage >

typedef itk::ImageToImageFilter<TInputImage, TClassifiedImage> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::Superclass

Definition at line 91 of file otbMarkovRandomFieldFilter.h.

◆ TrainingImagePixelType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::PixelType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::TrainingImagePixelType

Type definitions for the training image pixel type.

Definition at line 125 of file otbMarkovRandomFieldFilter.h.

◆ TrainingImagePointer

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::TrainingImagePointer

Definition at line 122 of file otbMarkovRandomFieldFilter.h.

◆ TrainingImageType

template<class TInputImage , class TClassifiedImage >

typedef TClassifiedImage otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::TrainingImageType

Type definitions for the training image.

Definition at line 121 of file otbMarkovRandomFieldFilter.h.

Member Enumeration Documentation

◆ StopConditionType

template<class TInputImage , class TClassifiedImage >

enum otb::MarkovRandomFieldFilter::StopConditionType

Pointer to different elements

Enumerator
MaximumNumberOfIterations
ErrorTolerance

Definition at line 276 of file otbMarkovRandomFieldFilter.h.

Constructor & Destructor Documentation

◆ MarkovRandomFieldFilter() [1/2]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter

protected

Pointer to different elements

Definition at line 29 of file otbMarkovRandomFieldFilter.hxx.

References otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::ClassifiedImageDimension, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageDimension, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_Generator, otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_InputImageNeighborhoodRadius, and otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_NeighborhoodRadius.

◆ ~MarkovRandomFieldFilter()

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::~MarkovRandomFieldFilter ( )

inlineoverrideprotected

Pointer to different elements

Definition at line 309 of file otbMarkovRandomFieldFilter.h.

◆ MarkovRandomFieldFilter() [2/2]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter ( const Self & )

protecteddelete

Pointer to different elements

Member Function Documentation

◆ Allocate()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::Allocate

protected

Allocate memory for labelled images. This is automatically called in GenerateData().

Allocate algorithm specific resources

Definition at line 218 of file otbMarkovRandomFieldFilter.hxx.

◆ ApplyMarkovRandomFieldFilter()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::ApplyMarkovRandomFieldFilter

protectedvirtual

Apply the MRF image filter

Definition at line 315 of file otbMarkovRandomFieldFilter.hxx.

References otbMsgDevMacro.

◆ CreateAnother()

template<class TInputImage , class TClassifiedImage >

virtual::itk::LightObject::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::CreateAnother ( void ) const

◆ EnlargeOutputRequestedRegion()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::EnlargeOutputRequestedRegion ( itk::DataObject * output )

overrideprotected

EnlargeOutputRequestedRegion method.

Definition at line 124 of file otbMarkovRandomFieldFilter.hxx.

◆ GenerateData()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GenerateData

overrideprotected

Pointer to different elements

Definition at line 147 of file otbMarkovRandomFieldFilter.hxx.

◆ GenerateInputRequestedRegion()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GenerateInputRequestedRegion

overrideprotected

GenerateInputRequestedRegion method.

Definition at line 110 of file otbMarkovRandomFieldFilter.hxx.

◆ GenerateOutputInformation()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GenerateOutputInformation

overrideprotected

GenerateOutputInformation method.

Definition at line 138 of file otbMarkovRandomFieldFilter.hxx.

◆ GetErrorTolerance()

template<class TInputImage , class TClassifiedImage >

virtual double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetErrorTolerance ( )

virtual

Pointer to different elements

◆ GetLambda()

template<class TInputImage , class TClassifiedImage >

virtual double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetLambda ( )

virtual

Pointer to different elements

◆ GetMaximumNumberOfIterations()

template<class TInputImage , class TClassifiedImage >

virtual unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetMaximumNumberOfIterations ( )

virtual

Pointer to different elements

◆ GetNameOfClass()

template<class TInputImage , class TClassifiedImage >

virtual const char* otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetNameOfClass ( ) const

virtual

Run-time type information (and related methods).

◆ GetNeighborhoodRadius()

template<class TInputImage , class TClassifiedImage >

const NeighborhoodRadiusType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetNeighborhoodRadius ( ) const

inline

Get the neighborhood radius

Definition at line 254 of file otbMarkovRandomFieldFilter.h.

◆ GetNumberOfClasses()

template<class TInputImage , class TClassifiedImage >

virtual unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetNumberOfClasses ( )

virtual

Pointer to different elements

◆ GetNumberOfIterations()

template<class TInputImage , class TClassifiedImage >

virtual const unsigned int& otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetNumberOfIterations ( ) const

virtual

Get macro for number of iterations

◆ GetSmoothingFactor()

template<class TInputImage , class TClassifiedImage >

virtual double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetSmoothingFactor ( )

virtual

Pointer to different elements

◆ GetStopCondition()

template<class TInputImage , class TClassifiedImage >

virtual const StopConditionType& otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetStopCondition ( ) const

virtual

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

◆ GetTrainingInput()

template<class TInputImage , class TClassifiedImage >

const MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::TrainingImageType * otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::GetTrainingInput ( void )

Pointer to different elements

Definition at line 75 of file otbMarkovRandomFieldFilter.hxx.

◆ Initialize()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::Initialize

protected

Connect the pipeline and propagate the required parameters. This is automatically called in GenerateData().

Initialize pipeline and values

Definition at line 262 of file otbMarkovRandomFieldFilter.hxx.

◆ InitializeSeed() [1/2]

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InitializeSeed ( )

inline

Pointer to different elements

Definition at line 301 of file otbMarkovRandomFieldFilter.h.

◆ InitializeSeed() [2/2]

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InitializeSeed ( int seed )

inline

End concept checking Methods to cancel random effects.

Definition at line 297 of file otbMarkovRandomFieldFilter.h.

◆ itkGetObjectMacro() [1/4]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::itkGetObjectMacro	(	EnergyFidelity	,
		EnergyFidelityType
	)

Pointer to different elements

◆ itkGetObjectMacro() [2/4]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::itkGetObjectMacro	(	EnergyRegularization	,
		EnergyRegularizationType
	)

Pointer to different elements

◆ itkGetObjectMacro() [3/4]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::itkGetObjectMacro	(	Optimizer	,
		OptimizerType
	)

Pointer to different elements

◆ itkGetObjectMacro() [4/4]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::itkGetObjectMacro	(	Sampler	,
		SamplerType
	)

Pointer to different elements

◆ MinimizeOnce()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MinimizeOnce

protectedvirtual

Apply the MRF image filter on the whole image once

Definition at line 357 of file otbMarkovRandomFieldFilter.hxx.

◆ New()

template<class TInputImage , class TClassifiedImage >

static Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::New ( )

static

Method for creation through the object factory.

◆ operator=()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::operator= ( const Self & )

protecteddelete

Pointer to different elements

◆ PrintSelf()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::PrintSelf	(	std::ostream &	os,
		itk::Indent	indent
	)		const

overrideprotected

Pointer to different elements

Definition at line 85 of file otbMarkovRandomFieldFilter.hxx.

◆ SetEnergyFidelity()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetEnergyFidelity ( EnergyFidelityType * _arg )

virtual

Pointer to different elements

◆ SetEnergyRegularization()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetEnergyRegularization ( EnergyRegularizationType * _arg )

virtual

ACCESSORS ************

◆ SetErrorTolerance()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetErrorTolerance ( double _arg )

virtual

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

◆ SetLambda()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetLambda ( double _arg )

virtual

Set/Get the regularization coefficient

◆ SetMaximumNumberOfIterations()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< 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.

◆ SetNeighborhoodRadius() [1/3]

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const NeighborhoodRadiusType & radius )

Set the neighborhood radius

Set the neighborhood radius from a radius object

Definition at line 201 of file otbMarkovRandomFieldFilter.hxx.

◆ SetNeighborhoodRadius() [2/3]

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const unsigned long * radiusArray )

Set the neighborhood radius from an array

Definition at line 184 of file otbMarkovRandomFieldFilter.hxx.

◆ SetNeighborhoodRadius() [3/3]

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetNeighborhoodRadius ( const unsigned long radiusValue )

Sets the radius for the neighborhood, calculates size from the radius, and allocates storage.

Set the neighborhood radius from a single value

Definition at line 167 of file otbMarkovRandomFieldFilter.hxx.

◆ SetNumberOfClasses()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetNumberOfClasses ( unsigned int _arg )

virtual

Set/Get the number of classes.

◆ SetOptimizer()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetOptimizer ( OptimizerType * _arg )

virtual

Pointer to different elements

◆ SetSampler()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetSampler ( SamplerType * _arg )

virtual

Pointer to different elements

◆ SetSmoothingFactor()

template<class TInputImage , class TClassifiedImage >

virtual void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetSmoothingFactor ( double _arg )

virtual

Set/Get the degree of smoothing desired

◆ SetTrainingInput()

template<class TInputImage , class TClassifiedImage >

void otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::SetTrainingInput ( const TrainingImageType * trainingImage )

virtual

Set training image for the starting point. This is not compulsory: if the starting image is not specified, a random image will be used instead. One important restriction: in the case of classification, the training image should contain values corresponding to the class number (consecutive integers).

Definition at line 65 of file otbMarkovRandomFieldFilter.hxx.

◆ typedef() [1/5]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::typedef ( itk::Concept::Convertible< int, LabelledImagePixelType > )

This class requires IntConvertibleToClassifiedCheck in the form of (itk::Concept::Convertible<int, LabelledImagePixelType>)

◆ typedef() [2/5]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::typedef ( itk::Concept::Convertible< LabelledImagePixelType, int > )

This class requires ClassifiedConvertibleToIntCheck in the form of (itk::Concept::Convertible<LabelledImagePixelType, int>)

◆ typedef() [3/5]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::typedef ( itk::Concept::Convertible< LabelledImagePixelType, unsigned int > )

This class requires ClassifiedConvertibleToUnsignedIntCheck in the form of (itk::Concept::Convertible<LabelledImagePixelType, unsigned int>)

◆ typedef() [4/5]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::typedef ( itk::Concept::Convertible< unsigned int, LabelledImagePixelType > )

Begin concept checking This class requires UnsignedIntConvertibleToClassifiedCheck in the form of (itk::Concept::Convertible<unsigned int, LabelledImagePixelType>)

◆ typedef() [5/5]

template<class TInputImage , class TClassifiedImage >

otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::typedef ( itk::Concept::SameDimension< InputImageDimension, ClassifiedImageDimension > )

This class requires SameDimensionCheck in the form of (itk::Concept::SameDimension<InputImageDimension, ClassifiedImageDimension>)

Member Data Documentation

◆ ClassifiedImageDimension

template<class TInputImage , class TClassifiedImage >

const unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::ClassifiedImageDimension = TClassifiedImage::ImageDimension

static

Labelled Image dimension

Definition at line 153 of file otbMarkovRandomFieldFilter.h.

Referenced by otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter().

◆ InputImageDimension

template<class TInputImage , class TClassifiedImage >

const unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::InputImageDimension = TInputImage::ImageDimension

static

Image dimension

Definition at line 118 of file otbMarkovRandomFieldFilter.h.

Referenced by otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter().

◆ m_DummyVector

template<class TInputImage , class TClassifiedImage >

std::vector<double> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_DummyVector

protected

Pointer to different elements

Definition at line 361 of file otbMarkovRandomFieldFilter.h.

◆ m_EnergyFidelity

template<class TInputImage , class TClassifiedImage >

EnergyFidelityPointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_EnergyFidelity

protected

Pointer to different elements

Definition at line 368 of file otbMarkovRandomFieldFilter.h.

◆ m_EnergyRegularization

template<class TInputImage , class TClassifiedImage >

EnergyRegularizationPointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_EnergyRegularization

protected

Pointer to different elements

Definition at line 367 of file otbMarkovRandomFieldFilter.h.

◆ m_ErrorCounter

template<class TInputImage , class TClassifiedImage >

int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_ErrorCounter

protected

Pointer to different elements

Definition at line 342 of file otbMarkovRandomFieldFilter.h.

◆ m_ErrorTolerance

template<class TInputImage , class TClassifiedImage >

double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_ErrorTolerance

protected

Pointer to different elements

Definition at line 348 of file otbMarkovRandomFieldFilter.h.

◆ m_ExternalClassificationSet

template<class TInputImage , class TClassifiedImage >

bool otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_ExternalClassificationSet

protected

Pointer to different elements

Definition at line 354 of file otbMarkovRandomFieldFilter.h.

◆ m_Generator

template<class TInputImage , class TClassifiedImage >

RandomGeneratorType::Pointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_Generator

protected

Pointer to different elements

Definition at line 363 of file otbMarkovRandomFieldFilter.h.

Referenced by otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter().

◆ m_ImageDeltaEnergy

template<class TInputImage , class TClassifiedImage >

double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_ImageDeltaEnergy

protected

Pointer to different elements

Definition at line 343 of file otbMarkovRandomFieldFilter.h.

◆ m_InputImageNeighborhoodRadius

template<class TInputImage , class TClassifiedImage >

InputImageNeighborhoodRadiusType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_InputImageNeighborhoodRadius

protected

Pointer to different elements

Definition at line 336 of file otbMarkovRandomFieldFilter.h.

Referenced by otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter().

◆ m_LabelledImageNeighborhoodRadius

template<class TInputImage , class TClassifiedImage >

LabelledImageNeighborhoodRadiusType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_LabelledImageNeighborhoodRadius

protected

Pointer to different elements

Definition at line 337 of file otbMarkovRandomFieldFilter.h.

◆ m_Lambda

template<class TInputImage , class TClassifiedImage >

double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_Lambda

protected

Pointer to different elements

Definition at line 353 of file otbMarkovRandomFieldFilter.h.

◆ m_MaximumNumberOfIterations

template<class TInputImage , class TClassifiedImage >

unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_MaximumNumberOfIterations

protected

Pointer to different elements

Definition at line 340 of file otbMarkovRandomFieldFilter.h.

◆ m_MRFNeighborhoodWeight

template<class TInputImage , class TClassifiedImage >

std::vector<double> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_MRFNeighborhoodWeight

protected

Pointer to different elements

Definition at line 359 of file otbMarkovRandomFieldFilter.h.

◆ m_NeighborhoodRadius

template<class TInputImage , class TClassifiedImage >

int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_NeighborhoodRadius

protected

Pointer to different elements

Definition at line 345 of file otbMarkovRandomFieldFilter.h.

Referenced by otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::MarkovRandomFieldFilter().

◆ m_NeighborInfluence

template<class TInputImage , class TClassifiedImage >

std::vector<double> otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_NeighborInfluence

protected

Pointer to different elements

Definition at line 360 of file otbMarkovRandomFieldFilter.h.

◆ m_NumberOfClasses

template<class TInputImage , class TClassifiedImage >

unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_NumberOfClasses

protected

Pointer to different elements

Definition at line 339 of file otbMarkovRandomFieldFilter.h.

◆ m_NumberOfIterations

template<class TInputImage , class TClassifiedImage >

unsigned int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_NumberOfIterations

protected

Pointer to different elements

Definition at line 351 of file otbMarkovRandomFieldFilter.h.

◆ m_Optimizer

template<class TInputImage , class TClassifiedImage >

OptimizerPointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_Optimizer

protected

Pointer to different elements

Definition at line 369 of file otbMarkovRandomFieldFilter.h.

◆ m_Sampler

template<class TInputImage , class TClassifiedImage >

SamplerPointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_Sampler

protected

Pointer to different elements

Definition at line 370 of file otbMarkovRandomFieldFilter.h.

◆ m_SmoothingFactor

template<class TInputImage , class TClassifiedImage >

double otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_SmoothingFactor

protected

Pointer to different elements

Definition at line 349 of file otbMarkovRandomFieldFilter.h.

◆ m_StopCondition

template<class TInputImage , class TClassifiedImage >

StopConditionType otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_StopCondition

protected

Pointer to different elements

Definition at line 355 of file otbMarkovRandomFieldFilter.h.

◆ m_TotalNumberOfPixelsInInputImage

template<class TInputImage , class TClassifiedImage >

int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfPixelsInInputImage

protected

Pointer to different elements

Definition at line 347 of file otbMarkovRandomFieldFilter.h.

◆ m_TotalNumberOfValidPixelsInOutputImage

template<class TInputImage , class TClassifiedImage >

int otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_TotalNumberOfValidPixelsInOutputImage

protected

Pointer to different elements

Definition at line 346 of file otbMarkovRandomFieldFilter.h.

◆ m_TrainingImage

template<class TInputImage , class TClassifiedImage >

TrainingImagePointer otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >::m_TrainingImage

protected

Pointer to different elements

Definition at line 357 of file otbMarkovRandomFieldFilter.h.

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

Public Types

Public Member Functions

Static Public Member Functions

Static Public Attributes

Detailed Description

template<class TInputImage, class TClassifiedImage> class otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >

Member Typedef Documentation

◆ ConstPointer

◆ EnergyFidelityPointer

◆ EnergyFidelityType

◆ EnergyRegularizationPointer

◆ EnergyRegularizationType

◆ IndexValueType

◆ InputImageConstPointer

◆ InputImageFaceListIterator

◆ InputImageFaceListType

◆ InputImageFacesCalculator

◆ InputImageNeighborhoodIterator

◆ InputImageNeighborhoodRadiusType

◆ InputImagePixelType

◆ InputImagePointer

◆ InputImageRegionConstIterator

◆ InputImageRegionIterator

◆ InputImageRegionType

◆ InputImageSizeType

◆ InputImageType

◆ LabelledImageFaceListIterator

◆ LabelledImageFaceListType

◆ LabelledImageFacesCalculator

◆ LabelledImageIndexType

◆ LabelledImageNeighborhoodIterator

◆ LabelledImageNeighborhoodRadiusType

◆ LabelledImageOffsetType

◆ LabelledImagePixelType

◆ LabelledImagePointer

◆ LabelledImageRegionConstIterator

◆ LabelledImageRegionIterator

◆ LabelledImageRegionType

◆ LabelledImageType

◆ NeighborhoodRadiusType

◆ OptimizerPointer

◆ OptimizerType

◆ OutputImagePointer

◆ Pointer

◆ RandomGeneratorType

◆ SamplerPointer

◆ SamplerType

◆ Self

◆ SizeType

◆ Superclass

◆ TrainingImagePixelType

◆ TrainingImagePointer

◆ TrainingImageType

Member Enumeration Documentation

◆ StopConditionType

Constructor & Destructor Documentation

◆ MarkovRandomFieldFilter() [1/2]

◆ ~MarkovRandomFieldFilter()

◆ MarkovRandomFieldFilter() [2/2]

Member Function Documentation

◆ Allocate()

◆ ApplyMarkovRandomFieldFilter()

◆ CreateAnother()

◆ EnlargeOutputRequestedRegion()

◆ GenerateData()

◆ GenerateInputRequestedRegion()

◆ GenerateOutputInformation()

◆ GetErrorTolerance()

◆ GetLambda()

◆ GetMaximumNumberOfIterations()

◆ GetNameOfClass()

◆ GetNeighborhoodRadius()

◆ GetNumberOfClasses()

◆ GetNumberOfIterations()

◆ GetSmoothingFactor()

◆ GetStopCondition()

◆ GetTrainingInput()

◆ Initialize()

◆ InitializeSeed() [1/2]

◆ InitializeSeed() [2/2]

template<class TInputImage, class TClassifiedImage>
class otb::MarkovRandomFieldFilter< TInputImage, TClassifiedImage >