SoSupervisedTextureClassificationProcessing2d engine More...

#include <ImageViz/Engines/ImageSegmentation/Classification/SoSupervisedTextureClassificationProcessing2d.h>

Inheritance diagram for SoSupervisedTextureClassificationProcessing2d:

Public Types
enum	FeatureGroup { DIRECTIONAL_COOCCURRENCE = 1 , ROTATION_INVARIANT_COOCCURRENCE = 2 , FIRST_ORDER_STATISTICS = 4 , HISTOGRAM_STATISTICS = 8 , INTENSITY = 16 }
	This enum defines all type of measures used for texture classification. More...

enum	CoocTextonShape { CUBE = 0 , SPHERE = 1 , BALL = 2 }
	This enum defines all type of measures used for texture classification. More...

enum	OutMapType { CLOSEST_DISTANCE = 0 , RELATIVE_DISTANCE = 1 , CLASS_DISTANCE = 2 , NONE = 3 }

Public Types inherited from SoImageVizEngine
enum	ComputeMode { MODE_2D = 0 , MODE_3D = 1 , MODE_AUTO = 2 }
	Compute Mode This enum specifies whether the main input will be interpreted as a 3D volume or a stack of 2D images for processing. More...

enum	Neighborhood3d { CONNECTIVITY_6 = 0 , CONNECTIVITY_18 = 1 , CONNECTIVITY_26 = 2 }
	Neighborhood Connectivity 3D. More...

Public Member Functions
	SoSupervisedTextureClassificationProcessing2d ()
	Constructor.

Public Member Functions inherited from SoImageVizEngine
virtual SoType	getTypeId () const
	Returns the type identifier for this specific instance.

virtual void	startEvaluate ()
	Evaluate engine and dependencies in another thread without blocking the current one.

virtual void	waitEvaluate ()
	Wait for the end of engine evaluation.

virtual void	abortEvaluate ()
	Abort current processing as soon as possible.

virtual bool	isEvaluating ()
	Returns true if the engine evaluation is in progress.

Public Member Functions inherited from SoEngine
virtual int	getOutputs (SoEngineOutputList &list) const
	Returns a list of outputs in this engine.

SoEngineOutput *	getOutput (const SbName &outputName) const
	Returns a reference to the engine output with the given name.

SbBool	getOutputName (const SoEngineOutput *output, SbName &outputName) const
	Returns (in outputName) the name of the engine output (output).

SoEngine *	copy () const
	Creates and returns an exact copy of the engine.

Public Member Functions inherited from SoFieldContainer
void	setToDefaults ()
	Sets all fields in this object to their default values.

SbBool	hasDefaultValues () const
	Returns TRUE if all of the object's fields have their default values.

SbBool	fieldsAreEqual (const SoFieldContainer *fc) const
	Returns TRUE if this object's fields are exactly equal to fc's fields.

void	copyFieldValues (const SoFieldContainer *fc, SbBool copyConnections=FALSE)
	Copies the contents of fc's fields into this object's fields.

SoNONUNICODE SbBool	set (const char *fieldDataString)
	Sets one or more fields in this object to the values specified in the given string, which should be a string in the Open Inventor file format.

SbBool	set (const SbString &fieldDataString)
	Sets one or more fields in this object to the values specified in the given string, which should be a string in the Open Inventor file format.

void	get (SbString &fieldDataString)
	Returns the values of the fields of this object in the Open Inventor ASCII file format in the given string.

virtual int	getFields (SoFieldList &list) const
	Appends references to all of this object's fields to resultList, and returns the number of fields appended.

virtual int	getAllFields (SoFieldList &list) const
	Returns a list of fields, including the eventIn's and eventOut's.

virtual SoField *	getField (const SbName &fieldName) const
	Returns a the field of this object whose name is fieldName.

virtual SoField *	getEventIn (const SbName &fieldName) const
	Returns a the eventIn with the given name.

virtual SoField *	getEventOut (const SbName &fieldName) const
	Returns the eventOut with the given name.

SbBool	getFieldName (const SoField *field, SbName &fieldName) const
	Returns the name of the given field in the fieldName argument.

SbBool	enableNotify (SbBool flag)
	Notification at this Field Container is enabled (if flag == TRUE) or disabled (if flag == FALSE).

SbBool	isNotifyEnabled () const
	Notification is the process of telling interested objects that this object has changed.

virtual void	setUserData (void *data)
	Sets application data.

void *	getUserData (void) const
	Gets user application data.

Public Member Functions inherited from SoBase
virtual void	touch ()
	Marks an instance as modified, simulating a change to it.

virtual SbName	getName () const
	Returns the name of an instance.

virtual void	setName (const SbName &name)
	Sets the name of an instance.

void	setSynchronizable (const bool b)
	Sets this to be a ScaleViz synchronizable object.

bool	isSynchronizable () const
	Gets the ScaleViz synchronizable state of this object.

Public Member Functions inherited from SoRefCounter
void	ref () const
	Adds a reference to an instance.

void	unref () const
	Removes a reference from an instance.

void	unrefNoDelete () const
	unrefNoDelete() should be called when it is desired to decrement the reference count, but not delete the instance if this brings the reference count to zero.

int	getRefCount () const
	Returns current reference count.

void	lock () const
	lock this instance.

void	unlock () const
	unlock this instance.

Public Member Functions inherited from SoTypedObject
SbBool	isOfType (const SoType &type) const
	Returns TRUE if this object is of the type specified in type or is derived from that type.

template<typename TypedObjectClass >
SbBool	isOfType () const
	Returns TRUE if this object is of the type of class TypedObjectClass or is derived from that class.

Public Attributes
SoSFImageDataAdapter	inImage
	The input grayscale image to segment.

SoSFImageDataAdapter	inTrainingImage
	The input label training image (16 or 32 bits).

SoSFBitMask	featureGroup
	The groups of textural features to compute.

SoSFVec2i32	radiusRange
	The minimum and maximum radius of the circular neighborhoods used for computing textural features.

SoSFUInt32	radiusStep
	The step used to define the set of radius between minimum and maximum.

SoSFUInt32	coocRadius
	Radius of the circular neighborhood used by the cooccurrence features.

SoSFEnum	coocTextonShape
	The shape of the co-occurrence texton, i.e., the pattern defined by the set of co-occurrence vectors.

SoSFUInt32	coocTextonSize
	The size of the texton shape for co-occurrence features.

SoSFDouble	minSeparationPercentage
	This parameter controls the rejection criteria of the feature selection algorithm (FS).

SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * >	outLabelImage
	The output label image representing the texture classification result.

SoSFEnum	outMapType
	The Output map image type.

SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * >	outMapImage
	Output map image.

Public Attributes inherited from SoImageVizEngine
SbEventHandler< EventArg & >	onBegin
	Event raised when the processing begins.

SbEventHandler< EventArg & >	onEnd
	Event raised when processing ends and the result is available.

SbEventHandler< EventArg & >	onProgress
	Event raised while processing is running.

Additional Inherited Members
Static Public Member Functions inherited from SoImageVizEngine
static SoType	getClassTypeId ()
	Returns the type identifier for this class.

Static Public Member Functions inherited from SoEngine
static SoType	getClassTypeId ()
	Returns the type identifier for the SoEngine class.

static SoEngine *	getByName (const SbName &name)
	Looks up engine(s) by name.

static int	getByName (const SbName &name, SoEngineList &list)
	Looks up engine(s) by name.

Static Public Member Functions inherited from SoFieldContainer
static SoType	getClassTypeId ()
	Returns the type of this class.

Static Public Member Functions inherited from SoBase
static SoType	getClassTypeId ()
	Returns type identifier for this class.

Static Public Member Functions inherited from SoTypedObject
static SoType	getClassTypeId ()
	Returns the type identifier for this class.

Detailed Description

SoSupervisedTextureClassificationProcessing2d engine

The SoSupervisedTextureClassificationProcessing3d engine realizes a segmentation based on a texture model automatically built from a training input image.

It chains automatically the 3 steps of the texture classification workflow: model creation, texture model learning and model application.

For an introduction see the Texture classification section

FILE FORMAT/DEFAULT

inImage	NULL
inTrainingImage	NULL
featureGroup	DIRECTIONAL_COOCCURRENCE \| ROTATION_INVARIANT_COOCCURRENCE \| FIRST_ORDER_STATISTICS \| HISTOGRAM_STATISTICS \| INTENSITY
radiusRange	2 14
radiusStep	4
coocRadius	10
coocTextonShape	SPHERE
coocTextonSize	4
minSeparationPercentage	3.0
outMapType	CLOSEST_DISTANCE

Library references: SupervisedTextureClassification2d

Definition at line 74 of file SoSupervisedTextureClassificationProcessing2d.h.

Member Enumeration Documentation

◆ CoocTextonShape

enum SoSupervisedTextureClassificationProcessing2d::CoocTextonShape

This enum defines all type of measures used for texture classification.

Enumerator

CUBE

The set of all points associated to corners, middles of edges and middles of faces of a cube of size textonSize.

SPHERE

The set of all points situated at the same euclidean distance textonSize from the center.

This mode must be used when a repetitive texture is mono-scale.

BALL

The set of all points situated at a distance less or equal to textonSize from the center.

This mode can be useful to classify a multi-scale repetitive texture but may be very time consuming.

Definition at line 132 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ FeatureGroup

enum SoSupervisedTextureClassificationProcessing2d::FeatureGroup

This enum defines all type of measures used for texture classification.

Enumerator
DIRECTIONAL_COOCCURRENCE	Features based on co-occurrence's matrix. One feature is extracted from each co-occurrence vector.
ROTATION_INVARIANT_COOCCURRENCE	Features based on co-occurrence's matrix. 3 statistics features are extracted from all vectors.
FIRST_ORDER_STATISTICS	Features based on first order statistics which are not computed using an histogram.
HISTOGRAM_STATISTICS	Features based on histogram statistics.
INTENSITY	Feature based on the intensity value of the input image.

Definition at line 92 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ OutMapType

enum SoSupervisedTextureClassificationProcessing2d::OutMapType

Enumerator
CLOSEST_DISTANCE	The outMapImage represents the mahalanobis distance to the class selected by the classification. The closer to 0 this metric is, the more confident the classification is.
RELATIVE_DISTANCE	The outMapImage represents the mahalanobis distance to the class selected by the classification( d1 ) weighted by the gap with the second closest distance( d2 ). The smaller this metric is, the more confident and less ambiguous the classification is. Map Value = log( d1 / ( d2 - d1 ) ).
CLASS_DISTANCE	The outMapImage is a multichannel image where each channel represents the distance to the corresponding class.
NONE	No output map.

Definition at line 174 of file SoSupervisedTextureClassificationProcessing2d.h.

Constructor & Destructor Documentation

◆ SoSupervisedTextureClassificationProcessing2d()

SoSupervisedTextureClassificationProcessing2d::SoSupervisedTextureClassificationProcessing2d ( )

Constructor.

Member Data Documentation

◆ coocRadius

SoSFUInt32 SoSupervisedTextureClassificationProcessing2d::coocRadius

Radius of the circular neighborhood used by the cooccurrence features.

Default value is 10.

Definition at line 127 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ coocTextonShape

SoSFEnum SoSupervisedTextureClassificationProcessing2d::coocTextonShape

The shape of the co-occurrence texton, i.e., the pattern defined by the set of co-occurrence vectors.

This shape represents the distribution of points around the target point for computing the co-occurrence matrix. The shape, associated to the texton size, defines the set of vectors that are used for computing co-occurrence features. For instance, in 2D, a Cube shape of size 3 defines the co-occurrence vectors (-3, -3) , (0, -3), (3, -3), (-3, 0) , (3, 0), (-3, 3) , (0, 3) and (3, 3). This parameter is ignored if none of the co-occurrence measure types is selected. Use enum CoocTextonShape. Default is SPHERE

Definition at line 154 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ coocTextonSize

SoSFUInt32 SoSupervisedTextureClassificationProcessing2d::coocTextonSize

The size of the texton shape for co-occurrence features.

This size is constrained by the radius parameter. The constraint depends on the texton shape. For instance, with a square texton, the texton size cannot exceed the rounded value of

$radius \times \sqrt{2}$

. This parameter is ignored if none of the co-occurrence measure types is selected. Default value is 4.

Definition at line 159 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ featureGroup

SoSFBitMask SoSupervisedTextureClassificationProcessing2d::featureGroup

The groups of textural features to compute.

Use enum FeatureGroup. Default is DIRECTIONAL_COOCCURRENCE | ROTATION_INVARIANT_COOCCURRENCE | FIRST_ORDER_STATISTICS | HISTOGRAM_STATISTICS | INTENSITY

Definition at line 118 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ inImage

SoSFImageDataAdapter SoSupervisedTextureClassificationProcessing2d::inImage

The input grayscale image to segment.

Default value is NULL. Supported types include: grayscale image.

Definition at line 84 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ inTrainingImage

SoSFImageDataAdapter SoSupervisedTextureClassificationProcessing2d::inTrainingImage

The input label training image (16 or 32 bits).

Each label represents a class sample for the learning step. Default value is NULL. Supported types include: label image.

Definition at line 87 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ minSeparationPercentage

SoSFDouble SoSupervisedTextureClassificationProcessing2d::minSeparationPercentage

This parameter controls the rejection criteria of the feature selection algorithm (FS).

A measure is rejected if its contribution does not increase enough the separation power of the classification model. This ratio indicates the minimal relative growth required to keep a measure. Please refer to Feature Selection section for more information about this parameter. The value must be greater than or equal to 0.0. Default value is 3.0.

Definition at line 166 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ outLabelImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoSupervisedTextureClassificationProcessing2d::outLabelImage

The output label image representing the texture classification result.

Default value is NULL. Supported types include: label image.

Definition at line 169 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ outMapImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoSupervisedTextureClassificationProcessing2d::outMapImage

Output map image.

The type of the image will be float. Default value is NULL. Supported types include: grayscale binary label color image.

Definition at line 202 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ outMapType

SoSFEnum SoSupervisedTextureClassificationProcessing2d::outMapType

The Output map image type.

Default is CLOSEST_DISTANCE. Use enum OutMapType. Default is CLOSEST_DISTANCE

Definition at line 199 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ radiusRange

SoSFVec2i32 SoSupervisedTextureClassificationProcessing2d::radiusRange

The minimum and maximum radius of the circular neighborhoods used for computing textural features.

Default value is SbVec2i32(2,14).

Definition at line 121 of file SoSupervisedTextureClassificationProcessing2d.h.

◆ radiusStep

SoSFUInt32 SoSupervisedTextureClassificationProcessing2d::radiusStep

The step used to define the set of radius between minimum and maximum.

The maximum radius is systematically added to the radius list. Default value is 4.

Definition at line 124 of file SoSupervisedTextureClassificationProcessing2d.h.

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

ImageViz/Engines/ImageSegmentation/Classification/SoSupervisedTextureClassificationProcessing2d.h

Open Inventor Release 2023.2.3

Public Types

Public Member Functions

Public Attributes

Additional Inherited Members