Extended Dense graph class for 2D image classifaction. More...

#include <GraphDenseExt.h>

Inheritance diagram for DirectGraphicalModels::CGraphDenseExt:

Collaboration diagram for DirectGraphicalModels::CGraphDenseExt:

Public Member Functions
	CGraphDenseExt (CGraphDense &graph)
	Constructor. More...

	~CGraphDenseExt (void)=default

void	buildGraph (Size graphSize) override
	Builds a 2D graph of size corresponding to the image resolution. More...

void	setGraph (const Mat &pots) override
	Fills an existing 2D graph with potentials or builds a new 2D graph of size corresponding to pots.size() with potentials. More...

void	addDefaultEdgesModel (float val, float weight=1.0f) override
	Adds default data-independet edge model. More...

void	addDefaultEdgesModel (const Mat &featureVectors, float val, float weight=1.0f) override
	Adds default contrast-sensitive edge model. More...

void	addDefaultEdgesModel (const vec_mat_t &featureVectors, float val, float weight=1.0f) override
	Adds default contrast-sensitive edge model. More...

Size	getSize (void) const override
	Returns the size of the graph. More...

void	addGaussianEdgeModel (Vec2f sigma, float weight=1.0f, const std::function< void(const Mat &src, Mat &dst)> &semiMetricFunction={})
	Add a Gaussian potential model with standard deviation sigma. More...

void	addBilateralEdgeModel (const Mat &featureVectors, Vec2f sigma, float sigma_opt=1.0f, float weight=1.0f, const std::function< void(const Mat &src, Mat &dst)> &semiMetricFunction={})
	Add a Bilateral pairwise potential with spacial standard deviations sigma and color standard deviations sr,sg,sb. More...

void	addBilateralEdgeModel (const vec_mat_t &featureVectors, Vec2f sigma, float sigma_opt=1.0f, float weight=1.0f, const std::function< void(const Mat &src, Mat &dst)> &semiMetricFunction={})
	Add a Bilateral pairwise potential with spacial standard deviations sx, sy and color standard deviations sr,sg,sb. More...

Public Member Functions inherited from DirectGraphicalModels::CGraphExt
	CGraphExt (void)=default

	CGraphExt (const CGraphExt &)=delete

virtual	~CGraphExt (void)=default

const CGraphExt &	operator= (const CGraphExt &)=delete

Private Attributes
CGraphDense &	m_graph
	The graph. More...

Size	m_size
	Size of the 2D graph. More...

Detailed Description

Extended Dense graph class for 2D image classifaction.

This graph class provides simplified interface and additional functionality, when the graph is used for 2D image classification

Author: Sergey G. Kosov, serge.nosp@m.y.ko.nosp@m.sov@p.nosp@m.roje.nosp@m.ct-10.nosp@m..de

Definition at line 17 of file GraphDenseExt.h.

Constructor & Destructor Documentation

◆ CGraphDenseExt()

DirectGraphicalModels::CGraphDenseExt::CGraphDenseExt ( CGraphDense & graph )

inline

Constructor.

Parameters

graph The graph

Definition at line 24 of file GraphDenseExt.h.

◆ ~CGraphDenseExt()

DirectGraphicalModels::CGraphDenseExt::~CGraphDenseExt ( void )

default

Member Function Documentation

◆ addBilateralEdgeModel() [1/2]

void DirectGraphicalModels::CGraphDenseExt::addBilateralEdgeModel	(	const Mat &	featureVectors,
		Vec2f	sigma,
		float	sigma_opt = `1.0f`,
		float	weight = `1.0f`,
		const std::function< void(const Mat &src, Mat &dst)> &	semiMetricFunction = `{}`
	)

Add a Bilateral pairwise potential with spacial standard deviations sigma and color standard deviations sr,sg,sb.

Parameters

featureVectors	Multi-channel matrix, each element of which is a multi-dimensinal point: Mat(type: CV_8UC<nFeatures>)
sigma	The spatial standard deviation of the 2D-bilateral filter
sigma_opt	The standard deviation for featureVectors
weight	The weighting parameter
semiMetricFunction	Reference to a semi-metric function, which arguments src and dst are: Mat(size: 1 x nFeatures; type: CV_32FC1). For more details refere to CEdgeModelPotts.

Definition at line 47 of file GraphDenseExt.cpp.

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◆ addBilateralEdgeModel() [2/2]

void DirectGraphicalModels::CGraphDenseExt::addBilateralEdgeModel	(	const vec_mat_t &	featureVectors,
		Vec2f	sigma,
		float	sigma_opt = `1.0f`,
		float	weight = `1.0f`,
		const std::function< void(const Mat &src, Mat &dst)> &	semiMetricFunction = `{}`
	)

Add a Bilateral pairwise potential with spacial standard deviations sx, sy and color standard deviations sr,sg,sb.

Parameters

featureVectors	Multi-channel matrix, each element of which is a multi-dimensinal point: Mat(type: CV_8UC<nFeatures>)
sigma	The spatial standard deviation of the 2D-bilateral filter
sigma_opt	The standard deviation for featureVectors
weight	The weighting parameter
semiMetricFunction	Reference to a semi-metric function, which arguments src and dst are: Mat(size: 1 x nFeatures; type: CV_32FC1). For more details refere to CEdgeModelPotts.

Definition at line 68 of file GraphDenseExt.cpp.

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◆ addDefaultEdgesModel() [1/3]

void DirectGraphicalModels::CGraphDenseExt::addDefaultEdgesModel	(	float	val,
		float	weight = `1.0f`
	)

inlineoverridevirtual

Adds default data-independet edge model.

This function adds a Gaussian edge model to the dense CRF model

Parameters

val	Value, specifying the smoothness strength - in this case the spatial standard deviation of the 2D-Gaussian filter scaled by 33.(3)
weight	The weighting parameter

Implements DirectGraphicalModels::CGraphExt.

Definition at line 36 of file GraphDenseExt.h.

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◆ addDefaultEdgesModel() [2/3]

void DirectGraphicalModels::CGraphDenseExt::addDefaultEdgesModel	(	const Mat &	featureVectors,
		float	val,
		float	weight = `1.0f`
	)

inlineoverridevirtual

Adds default contrast-sensitive edge model.

This function adds a Bilateral edge model to the dense CRF model

Parameters

featureVectors	Multi-channel matrix, each element of which is a multi-dimensinal point: Mat(type: CV_8UC<nFeatures>)
val	Value, specifying the smoothness strength - in this case the spatial standard deviation of the 2D-bilateral filter scaled by 33.(3)
weight	The weighting parameter

Implements DirectGraphicalModels::CGraphExt.

Definition at line 47 of file GraphDenseExt.h.

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◆ addDefaultEdgesModel() [3/3]

void DirectGraphicalModels::CGraphDenseExt::addDefaultEdgesModel	(	const vec_mat_t &	featureVectors,
		float	val,
		float	weight = `1.0f`
	)

inlineoverridevirtual

Adds default contrast-sensitive edge model.

This function adds a Bilateral edge model to the dense CRF model

Parameters

featureVectors	Vector of size nFeatures, each element of which is a single feature - image: Mat(type: CV_8UC1)
val	Value, specifying the smoothness strength - in this case the spatial standard deviation of the 2D-bilateral filter scaled by 33.(3)
weight	The weighting parameter

Implements DirectGraphicalModels::CGraphExt.

Definition at line 58 of file GraphDenseExt.h.

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◆ addGaussianEdgeModel()

void DirectGraphicalModels::CGraphDenseExt::addGaussianEdgeModel	(	Vec2f	sigma,
		float	weight = `1.0f`,
		const std::function< void(const Mat &src, Mat &dst)> &	semiMetricFunction = `{}`
	)

Add a Gaussian potential model with standard deviation sigma.

Parameters

sigma	The spatial standard deviation of the 2D-Gaussian filter
weight	The weighting parameter
semiMetricFunction	Reference to a semi-metric function, which arguments src and dst are: Mat(size: 1 x nFeatures; type: CV_32FC1). For more details refere to CEdgeModelPotts.

Definition at line 32 of file GraphDenseExt.cpp.

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◆ buildGraph()

void DirectGraphicalModels::CGraphDenseExt::buildGraph ( Size graphSize )

overridevirtual

Builds a 2D graph of size corresponding to the image resolution.

When called multiple times, previouse graph structure is always replaced

Parameters

graphSize The size of the graph (image resolution)

Implements DirectGraphicalModels::CGraphExt.

Definition at line 8 of file GraphDenseExt.cpp.

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◆ getSize()

Size DirectGraphicalModels::CGraphDenseExt::getSize ( void ) const

inlineoverridevirtual

Returns the size of the graph.

Returns: The size of the Graph

Implements DirectGraphicalModels::CGraphExt.

Definition at line 62 of file GraphDenseExt.h.

◆ setGraph()

void DirectGraphicalModels::CGraphDenseExt::setGraph ( const Mat & pots )

overridevirtual

Fills an existing 2D graph with potentials or builds a new 2D graph of size corresponding to pots.size() with potentials.

If the graph was not build beforehand, or the size of existing graph does not correspond to pots.size() this function calls first

buildGraph(pots.size())

Parameters

pots	A block of node potentials: Mat(size: image width x image height; type: CV_32FC(nStates)). It may be obtained by: CTrainNode::getNodePotentials()

Implements DirectGraphicalModels::CGraphExt.

Definition at line 20 of file GraphDenseExt.cpp.

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Member Data Documentation

◆ m_graph

CGraphDense& DirectGraphicalModels::CGraphDenseExt::m_graph

private

The graph.

Definition at line 96 of file GraphDenseExt.h.

◆ m_size

Size DirectGraphicalModels::CGraphDenseExt::m_size

private

Size of the 2D graph.

Definition at line 97 of file GraphDenseExt.h.

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

D:/Projects/DGM/modules/DGM/GraphDenseExt.h
D:/Projects/DGM/modules/DGM/GraphDenseExt.cpp

Public Member Functions

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ CGraphDenseExt()

◆ ~CGraphDenseExt()

Member Function Documentation

◆ addBilateralEdgeModel() [1/2]

◆ addBilateralEdgeModel() [2/2]

◆ addDefaultEdgesModel() [1/3]

◆ addDefaultEdgesModel() [2/3]

◆ addDefaultEdgesModel() [3/3]

◆ addGaussianEdgeModel()

◆ buildGraph()

◆ getSize()

◆ setGraph()

Member Data Documentation

◆ m_graph

◆ m_size