Inheritance diagram for otb::MRFEnergyGaussianClassification< TInput1, TInput2 >:

Collaboration diagram for otb::MRFEnergyGaussianClassification< TInput1, TInput2 >:

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

typedef InputImageType::PixelType	InputImagePixelType

typedef TInput1	InputImageType

typedef LabelledImageType::PixelType	LabelledImagePixelType

typedef TInput2	LabelledImageType

typedef itk::Array< double >	ParametersType

typedef itk::SmartPointer< Self >	Pointer

typedef MRFEnergyGaussianClassification	Self

typedef MRFEnergy< TInput1, TInput2 >	Superclass

Public Types inherited from otb::MRFEnergy< TInput1, TInput2 >
typedef itk::SmartPointer< const Self >	ConstPointer

typedef InputImageType::PixelType	InputImagePixelType

typedef TInput1	InputImageType

typedef itk::ConstNeighborhoodIterator< InputImageType >	InputNeighborhoodIterator

typedef LabelledImageType::PixelType	LabelledImagePixelType

typedef TInput2	LabelledImageType

typedef itk::ConstNeighborhoodIterator< LabelledImageType >	LabelledNeighborhoodIterator

typedef itk::Array< double >	ParametersType

typedef itk::SmartPointer< Self >	Pointer

typedef MRFEnergy	Self

typedef itk::Object	Superclass

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

virtual const char *	GetNameOfClass () const

double	GetSingleValue (const InputImagePixelType &value1, const LabelledImagePixelType &value2) override

void	SetNumberOfParameters (const unsigned int nParameters) override

Public Member Functions inherited from otb::MRFEnergy< TInput1, TInput2 >
virtual ::itk::LightObject::Pointer	CreateAnother (void) const

virtual unsigned int	GetNumberOfParameters () const

const ParametersType &	GetParameters (void) const

virtual double	GetValue (const InputImagePixelType &value1, const LabelledImagePixelType &value2)

virtual double	GetValue (const InputNeighborhoodIterator &it, const LabelledImagePixelType &value2)

virtual double	GetValue (const LabelledNeighborhoodIterator &it, const LabelledImagePixelType &value2)

void	SetParameters (const ParametersType &parameters)

Static Public Member Functions
static Pointer	New ()

Static Public Member Functions inherited from otb::MRFEnergy< TInput1, TInput2 >
static Pointer	New ()

Protected Member Functions
	MRFEnergyGaussianClassification ()

	~MRFEnergyGaussianClassification () override

Protected Member Functions inherited from otb::MRFEnergy< TInput1, TInput2 >
	MRFEnergy ()

	~MRFEnergy () override

Additional Inherited Members
Protected Attributes inherited from otb::MRFEnergy< TInput1, TInput2 >
unsigned int	m_NumberOfParameters

ParametersType	m_Parameters

Detailed Description

This is the implementation of the Gaussian model for Markov classification.

This is the implementation of the Gaussian Energy model for Markov classification, to be used for the fidelity term for classification. Energy is:

$U(x_s / y_s) = \frac{(y_s+\mu_{x_s})^2}{2\sigma^2_{x_s}}+\log{\sqrt{2\pi}\sigma_{x_s}}$

with

the label on site s
the value on the reference image
$\mu_{x_s}$ and $\sigma^2_{x_s}$ the mean and variance of label

This class is meant to be used in the MRF framework with the otb::MarkovRandomFieldFilter

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