SoAutoSegmentation3PhasesProcessing Class Reference
[Labeling]

SoAutoSegmentation3PhasesProcessing image filter More...

#include <ImageViz/Engines/ImageSegmentation/Labeling/SoAutoSegmentation3PhasesProcessing.h>

Inheritance diagram for SoAutoSegmentation3PhasesProcessing:

List of all members.

Classes
class	SbAutoSegmentation3PhasesDetail
	Results details of threshold by automatic segmentation. More...
Public Types
enum	ThresholdCriterion {   ENTROPY = 0,   FACTORISATION = 1,   MOMENTS = 2 }
Public Member Functions
	SoAutoSegmentation3PhasesProcessing ()
Public Attributes
SoSFEnum	computeMode
SoSFImageDataAdapter	inGrayImage
SoSFVec2i32	intensityRangeInput
SoSFEnum	thresholdCriterion
SoImageVizEngineOutput < SoSFImageDataAdapter, SoImageDataAdapter * >	outLabelImage
SoImageVizEngineAnalysisOutput < SbAutoSegmentation3PhasesDetail >	outResult

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Detailed Description

SoAutoSegmentation3PhasesProcessing image filter

SoAutoSegmentation3PhasesProcessing performs a 2-level segmentation based on a specified algorithm.

This engine computes an automatic segmentation on a grayscale image, separating the image in 3 classes of pixels. Three methods of classification are available: Entropy, Factorisation or Moments. The computed thresholds are provided in the SbAutoSegmentation3PhasesDetail object. Please refer to SoAutoThresholdingProcessing description for more information about the classification methods.

The output is a label image with 2 non-zero levels.

See also: SoAdaptiveThresholdingProcessing.

FILE FORMAT/DEFAULT

AutoSegmentation3PhasesProcessing {

computeMode	MODE_AUTO
inGrayImage	NULL
intensityRangeInput	0 255
thresholdCriterion	ENTROPY

}

Library references: auto_segment

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Member Enumeration Documentation

enum SoAutoSegmentation3PhasesProcessing::ThresholdCriterion

The criterion to detect thresholds on histogram.

Enumerator:

ENTROPY	The measure of dispersion used in the algorithm is the entropy of the intensity distribution.
FACTORISATION	The measure of dispersion used in the algorithm is the variance of the intensity distribution.
MOMENTS	The measure of dispersion used in the algorithm is the moments of the intensity distribution.

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Constructor & Destructor Documentation

SoAutoSegmentation3PhasesProcessing::SoAutoSegmentation3PhasesProcessing

(

)

Constructor.

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Member Data Documentation

SoSFEnum SoAutoSegmentation3PhasesProcessing::computeMode

Select the compute Mode (2D or 3D or AUTO) Use enum ComputeMode.

Default is MODE_AUTO

SoSFImageDataAdapter SoAutoSegmentation3PhasesProcessing::inGrayImage

The input grayscale image.

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

SoSFVec2i32 SoAutoSegmentation3PhasesProcessing::intensityRangeInput

The input intensity range.

Default value is SbVec2i32(0,255).

SoImageVizEngineOutput<SoSFImageDataAdapter, SoImageDataAdapter*> SoAutoSegmentation3PhasesProcessing::outLabelImage

The output image.

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

SoImageVizEngineAnalysisOutput<SbAutoSegmentation3PhasesDetail> SoAutoSegmentation3PhasesProcessing::outResult

The thresholding results.

Default value is NULL.

SoSFEnum SoAutoSegmentation3PhasesProcessing::thresholdCriterion

The criterion to detect thresholds on histogram.

Use enum ThresholdCriterion. Default is ENTROPY

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

• ImageViz/Engines/ImageSegmentation/Labeling/SoAutoSegmentation3PhasesProcessing.h