Open Inventor Release 2023.2.3
 
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SoTensorVotingProcessing2d Class Reference

ImageViz SoTensorVotingProcessing2d engine More...

#include <ImageViz/Engines/EdgeDetection/EdgeMarking/SoTensorVotingProcessing2d.h>

+ Inheritance diagram for SoTensorVotingProcessing2d:

Public Types

enum  OutputSelection {
  TENSOR = 1 ,
  ORIENTATION_VECTOR = 2 ,
  SALIENCY = 4 ,
  BALLNESS = 8
}
 This enum defines each computable outputs. More...
 
- 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

 SoTensorVotingProcessing2d ()
 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.
 
SoEngineOutputgetOutput (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).
 
SoEnginecopy () 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 SoFieldgetField (const SbName &fieldName) const
 Returns a the field of this object whose name is fieldName.
 
virtual SoFieldgetEventIn (const SbName &fieldName) const
 Returns a the eventIn with the given name.
 
virtual SoFieldgetEventOut (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 inFeatureImage
 Input feature image.
 
SoSFImageDataAdapter inVectorImage
 Input orientation vector image.
 
SoSFDouble scale
 This parameter acts on the gap length filled by the tensor voting algorithm.
 
SoSFBitMask outputSelection
 Enable the computation of selected outputs.
 
SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * > outTensorImage
 Output tensor image.
 
SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * > outVectorImage
 Output orientation vector image.
 
SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * > outSaliencyImage
 Output saliency image.
 
SoImageVizEngineOutput< SoSFImageDataAdapter, SoImageDataAdapter * > outBallnessImage
 Output ballness 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 SoEnginegetByName (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

ImageViz SoTensorVotingProcessing2d engine

The SoTensorVotingProcessing2d engine strengthens an image local features according to their consistency with a model of smooth curves.

The computation will use a feature score image and an orientation vector image.

The voting field used assumes that the best connection between two points with one orientation imposes a circular arc that decays with the radius according to a Gaussian function. The voting field size is defined by the parameter "scale".

This voting field can be illustrated on the unit sphere:

Example of a stick voting field.

The method is referenced by Franken and van Almsick publication
E.Franken, M.van Almsick, P.Rongen, L.Florack, B.ter Haar Romeny,
"An efficient method for tensor voting using steerable filters."
Computer Vision - ECCV 2006. Springer, pp. 228-240, 2006.

Different outputs can be computed by this filter and are selected with the "outputSelection" parameter. Only the outputs necessary to the application can be selected in order to minimize memory and computation time usage.

This filter can provide an output spectral image where each channel represents a tensor component set in the following order $I_{xx}$, $I_{xy}$, $I_{yy}$.

The saliency, ballness and orientation vector images can be extracted from this tensor image following:

  • Orientation: $arccos(e_{1}.e_{x})$
  • Saliency: $\lambda _{1}-\lambda _{2}$
  • Ballness: $\lambda _{2}$

The saliency can be interpreted as a measure for the orientation certainty or a measure of anisotropy of the ellipse in orientation given in outVectorImage.

The ballness can be interpreted as a measure for the orientation uncertainty or a measure of isotropy.

The orientation vector image defines the main orientation of the output tensor.

FILE FORMAT/DEFAULT

    TensorVotingProcessing2d {
    inFeatureImage NULL
    inVectorImage NULL
    scale 5.0
    outputSelection SALIENCY
    }


Library references: TensorVoting2d

Definition at line 94 of file SoTensorVotingProcessing2d.h.

Member Enumeration Documentation

◆ OutputSelection

This enum defines each computable outputs.

Enumerator
TENSOR 

Enable the computation of the output tensor image.

ORIENTATION_VECTOR 

Enable the computation of the output orientation vector image.

SALIENCY 

Enable the computation of the output saliency image.

BALLNESS 

Enable the computation of the output ballness image.

Definition at line 115 of file SoTensorVotingProcessing2d.h.

Constructor & Destructor Documentation

◆ SoTensorVotingProcessing2d()

SoTensorVotingProcessing2d::SoTensorVotingProcessing2d ( )

Constructor.

Member Data Documentation

◆ inFeatureImage

SoSFImageDataAdapter SoTensorVotingProcessing2d::inFeatureImage

Input feature image.

Image must have only one spectral canal. Default value is NULL. Supported types include: grayscale image.

Definition at line 104 of file SoTensorVotingProcessing2d.h.

◆ inVectorImage

SoSFImageDataAdapter SoTensorVotingProcessing2d::inVectorImage

Input orientation vector image.

Image must have the same size as the input and 2 spectral canals. Each vector is used to define an orientation and its norm is ignored. Default value is NULL. Supported types include: color image.

Definition at line 107 of file SoTensorVotingProcessing2d.h.

◆ outBallnessImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoTensorVotingProcessing2d::outBallnessImage

Output ballness image.

The size, calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: grayscale image.

Definition at line 149 of file SoTensorVotingProcessing2d.h.

◆ outputSelection

SoSFBitMask SoTensorVotingProcessing2d::outputSelection

Enable the computation of selected outputs.

Use enum OutputSelection. Default is SALIENCY

Definition at line 137 of file SoTensorVotingProcessing2d.h.

◆ outSaliencyImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoTensorVotingProcessing2d::outSaliencyImage

Output saliency image.

The size, calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: grayscale image.

Definition at line 146 of file SoTensorVotingProcessing2d.h.

◆ outTensorImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoTensorVotingProcessing2d::outTensorImage

Output tensor image.

The size (except spectral serie), calibration and interpretation of the output image are forced to the same values as the feature input. Type is forced to float. Default value is NULL. Supported types include: color image.

Definition at line 140 of file SoTensorVotingProcessing2d.h.

◆ outVectorImage

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoTensorVotingProcessing2d::outVectorImage

Output orientation vector image.

The size (except spectral serie), calibration and interpretation of the output image are forced to the same values as the feature input. The size of the spectral serie component is forced to 2. Each vector defines the main orientation of the output tensor and its norm is equal to the saliency. Type is forced to float. Default value is NULL. Supported types include: color image.

Definition at line 143 of file SoTensorVotingProcessing2d.h.

◆ scale

SoSFDouble SoTensorVotingProcessing2d::scale

This parameter acts on the gap length filled by the tensor voting algorithm.

It is expressed in pixels. Default value is 5.0.

Definition at line 110 of file SoTensorVotingProcessing2d.h.


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