com.openinventor.imageviz.engines.imageanalysis.statistics

Class SoCooccurrenceQuantification2d

java.lang.Object

com.openinventor.inventor.Inventor

com.openinventor.inventor.misc.SoBase

com.openinventor.inventor.fields.SoFieldContainer

com.openinventor.inventor.engines.SoEngine

com.openinventor.imageviz.engines.SoImageVizEngine

com.openinventor.imageviz.engines.imageanalysis.statistics.SoCooccurrenceQuantification2d

All Implemented Interfaces:

SafeDisposable

public class SoCooccurrenceQuantification2d
extends SoImageVizEngine

SoCooccurrenceQuantification2d engine provides texture indicators based on the co-occurrence matrix computation. The SoCooccurrenceQuantification2d engine provides some information concerning the texture thanks to the computation of a co-occurrence matrix. This command allow s to classify, given a direction , pairs of pixels by their gray level. The co-occurrence matrix components are given by : Where is the image graylevel for coordinates.
This formulation means that for a given pair , contains the number of pixels verifying and .

This matrix is made symmetric and normalized such as :

These operations allow to be independent to the image size and to hold properties on a direction and its symmetric. Thirteen indicators are computed from this matrix :

• an angular second moment indicator (ASM), also called uniformity. This indicator takes high values when image pixels present strong local uniformity.
• a contrast indicator (Con). This indicator takes high values for great gray level variations.
• a correlation indicator (Cor) which measures the dependency between gray levels and those of neighbouring pixels. where :
• a variance indicator (SSV) also called sum of squares. This indicator measures the dispersion of the combination of gray levels and their neighbour pixels around the mean.
• an inverse difference moment (IDM) also called homogeneity.
• a sum average indicator (SAv).
• a sum variance indicator (SVa).
• a sum entropy indicator (SEn).
• an entropy indicator (Ent).
• a difference variance indicator (DVa).
• a difference entropy indicator (DEn).
• two information measures of correlation (IC1 and IC2). where HX and HY are entropies of px and py such as : and

In addition this engine returns one more information in the result object which is the number of image pixels used for computation.

References

Haralick R., Shanmugam K. & Dinstein I. "Textural features for image classification." IEEE Transactions on Systems, Man, and Cybernetics. Vol 3, No 6, pp 610-621, October 1973.

File format/default:

CooccurrenceQuantification2d {

inImage	NULL
inMaskImage	NULL
offsetX	1
offsetY	0

}

Library references: cooccurrence

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SoCooccurrenceQuantification2d.SbCoocurrrenceDetail Results details of cooccurrence global measure.

Nested classes/interfaces inherited from class com.openinventor.imageviz.engines.SoImageVizEngine

SoImageVizEngine.ComputeModes, SoImageVizEngine.EventArg, SoImageVizEngine.Neighborhood3ds

Nested classes/interfaces inherited from class com.openinventor.inventor.Inventor

Inventor.ConstructorCommand

Field Summary

Fields

Modifier and Type	Field and Description
SoSFImageDataAdapter	inImage The input image.
SoSFImageDataAdapter	inMaskImage The binary image for the mask or empty (command looks for only inside).
SoSFInt32	offsetX The X Offset.
SoSFInt32	offsetY The Y Offset.
SoImageVizEngineAnalysisOutput<SoCooccurrenceQuantification2d.SbCoocurrrenceDetail>	outResult The output measure result.

Fields inherited from class com.openinventor.imageviz.engines.SoImageVizEngine

CONNECTIVITY_18, CONNECTIVITY_26, CONNECTIVITY_6, MODE_2D, MODE_3D, MODE_AUTO, onBegin, onEnd, onProgress

Fields inherited from class com.openinventor.inventor.Inventor

VERBOSE_LEVEL, ZeroHandle

Constructor Summary

Constructors

Constructor and Description
SoCooccurrenceQuantification2d() Constructor.

Method Summary

Methods inherited from class com.openinventor.imageviz.engines.SoImageVizEngine

abortEvaluate, isEvaluating, startEvaluate, waitEvaluate

Methods inherited from class com.openinventor.inventor.engines.SoEngine

copy, getByName, getOutput, getOutputName

Methods inherited from class com.openinventor.inventor.fields.SoFieldContainer

copyFieldValues, copyFieldValues, enableNotify, fieldsAreEqual, get, getAllFields, getEventIn, getEventOut, getField, getFieldName, hasDefaultValues, isNotifyEnabled, set, setToDefaults

Methods inherited from class com.openinventor.inventor.misc.SoBase

dispose, getEXTERNPROTO, getName, getPROTO, isDisposable, isSynchronizable, setName, setSynchronizable, touch

Methods inherited from class com.openinventor.inventor.Inventor

getAddress, getNativeResourceHandle, startInternalThreads, stopInternalThreads

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

inImage

public final SoSFImageDataAdapter inImage

The input image. Default value is NULL. Supported types include: grayscale binary label color image.

inMaskImage

public final SoSFImageDataAdapter inMaskImage

The binary image for the mask or empty (command looks for only inside). This parameter is optional. Default value is NULL. Supported types include: binary color image.

offsetX

public final SoSFInt32 offsetX

The X Offset. Default value is 1.

offsetY

public final SoSFInt32 offsetY

The Y Offset. Default value is 0.

outResult

public final SoImageVizEngineAnalysisOutput<SoCooccurrenceQuantification2d.SbCoocurrrenceDetail> outResult

The output measure result. Default value is NULL.

Constructor Detail

SoCooccurrenceQuantification2d

public SoCooccurrenceQuantification2d()

Constructor.