com.openinventor.imageviz.engines.imageanalysis.statistics

Class SoLocalMaximaQuantification

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.SoLocalMaximaQuantification

All Implemented Interfaces:

SafeDisposable

public class SoLocalMaximaQuantification
extends SoImageVizEngine

SoLocalMaximaQuantification engine The SoLocalMaximaQuantification engine extracts the local maxima of an image using a neighborhood analysis.

Input_Image[i,j] is a local maximum if the 2 conditions below apply:

1. Considering k in [1,p], l in [1,q] and m in [-p,p], InputImage(i,j) verifies:
InputImage( i, j) > InputImage(i + m, j - l)
InputImage( i, j) > InputImage(i - k, j)
InputImage(i, j) >= InputImage(i + k, j)
InputImage(i, j) >= InputImage(i + m, j + l)
2. Input_Image[i,j] is higher than a specified threshold
InputImage(i, j) >= threshold

Examples:

Example 1:
Input parameters: p=0, q=0, threshold=4, number=50.
The local maxima will be the points higher or equal to 4.

Number of local maxima detected: 7
Positions of the local maxima:
(7,3) (6,5) (5,7) (6,7) (6,8) (2,9) (6,9)
This corresponds to a threshold.

Example 2: Input parameters:p=1, q=1, threshold=3, number=50.
Number of local maxima detected: 4
Positions of the local maxima: (7,3) (6,5) (5,7) (2,9)

Remark: If there is an area in the image at constant level, the engine returns the upper left corner of this area. The other points of the area are not considered as �local maxima�.

Example 3: Input parameters: p=2, q=2, threshold=3, number=50.
Number of local maxima detected: 2
Positions of the local maxima: (7,3) (5,7)

Remark: The algorithm is not performed on the image border depending on n and m values. That is the reason why the point (2,9) is not considered as a local maximum.

Local Maximum Sub-Pixel Position Determination:
On example 3, the algorithm detects 2 local maxima. The positions are converted to sub-pixel positions:

X Sub-pixel Position Determined by Parabola Approximation

Y Sub-pixel Position Determined by Parabola Approximation

File format/default:

LocalMaximaQuantification {

computeMode	MODE_AUTO
inGrayImage	NULL
localWindow	3 3 3
thresholdLevel	0.0f
precisionMode	PIXEL
numberOfPatterns	1

}

Library references: maxextract maxextract3d

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	SoLocalMaximaQuantification.PrecisionModes
static class	SoLocalMaximaQuantification.SbLocalMaximaDetail Results details of SoLocalMaximaQuantification.

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
SoSFEnum<SoImageVizEngine.ComputeModes>	computeMode Select the compute Mode (2D or 3D or AUTO) .
SoSFImageDataAdapter	inGrayImage Enter input grey level image Default value is NULL.
SoSFVec3i32	localWindow The neighborhood size in X, Y and Z.
SoSFInt32	numberOfPatterns The number of patterns to be detected.
SoImageVizEngineAnalysisOutput<SoLocalMaximaQuantification.SbLocalMaximaDetail>	outResult The matching results.
static int	PIXEL Deprecated. Use SoLocalMaximaQuantification.PrecisionModes.PIXEL instead.
SoSFEnum<SoLocalMaximaQuantification.PrecisionModes>	precisionMode Select the precision mode of position.
static int	SUB_PIXEL Deprecated. Use SoLocalMaximaQuantification.PrecisionModes.SUB_PIXEL instead.
SoSFFloat	thresholdLevel Threshold.

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
SoLocalMaximaQuantification() 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

PIXEL

@Deprecated
public static final int PIXEL

Deprecated. Use SoLocalMaximaQuantification.PrecisionModes.PIXEL instead.

SUB_PIXEL

@Deprecated
public static final int SUB_PIXEL

Deprecated. Use SoLocalMaximaQuantification.PrecisionModes.SUB_PIXEL instead.

computeMode

public final SoSFEnum<SoImageVizEngine.ComputeModes> computeMode

Select the compute Mode (2D or 3D or AUTO) . Default is MODE_AUTO

inGrayImage

public final SoSFImageDataAdapter inGrayImage

Enter input grey level image Default value is NULL. Supported types include: grayscale binary label image.

localWindow

public final SoSFVec3i32 localWindow

The neighborhood size in X, Y and Z. Default value is SbVec3i32(3,3,3).

thresholdLevel

public final SoSFFloat thresholdLevel

Threshold. Default value is 0.0f.

precisionMode

public final SoSFEnum<SoLocalMaximaQuantification.PrecisionModes> precisionMode

Select the precision mode of position. . Default is PIXEL

numberOfPatterns

public final SoSFInt32 numberOfPatterns

The number of patterns to be detected. Default value is 1.

outResult

public final SoImageVizEngineAnalysisOutput<SoLocalMaximaQuantification.SbLocalMaximaDetail> outResult

The matching results. Default value is NULL.

Constructor Detail

SoLocalMaximaQuantification

public SoLocalMaximaQuantification()

Constructor.