SoAutoIntensityClassificationProcessing Class Reference
[Classification]

SoAutoIntensityClassificationProcessing classifies all pixels/voxels of an image using the k-means method. More...

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

Inheritance diagram for SoAutoIntensityClassificationProcessing:

List of all members.

Public Member Functions
	SoAutoIntensityClassificationProcessing ()
Public Attributes
SoSFEnum	computeMode
SoSFImageDataAdapter	inImage
SoSFInt32	classNumber
SoSFInt32	dataPercentage
SoImageVizEngineOutput < SoSFImageDataAdapter, SoImageDataAdapter * >	outLabelImage

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Detailed Description

SoAutoIntensityClassificationProcessing classifies all pixels/voxels of an image using the k-means method.

Given a set of observations (x1, x2, ..., xn), where each observation is a d-dimensional real vector, k-means clustering aims to partition the n observations into k (= n) sets S = {S1, S2, ..., Sk} so as to minimize the within-cluster sum of squares (WCSS) (sum of distance functions of each point in the cluster to the K center).

References

Lloyd, S. P. "Least square quantization in PCM." IEEE Transactions on Information Theory 28 (2): 129–137, 1982.

FILE FORMAT/DEFAULT

AutoIntensityClassificationProcessing {

computeMode	MODE_AUTO
inImage	NULL
classNumber	2
dataPercentage	100

}

Library references: k_means_classification

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Constructor & Destructor Documentation

SoAutoIntensityClassificationProcessing::SoAutoIntensityClassificationProcessing

(

)

Constructor.

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Member Data Documentation

SoSFInt32 SoAutoIntensityClassificationProcessing::classNumber

The number of classes to detect (i.e.

the label number of the output). Default value is 2.

SoSFEnum SoAutoIntensityClassificationProcessing::computeMode

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

Default is MODE_AUTO

SoSFInt32 SoAutoIntensityClassificationProcessing::dataPercentage

The data percentage used for pre-computing the classification.

Default value is 100.

SoSFImageDataAdapter SoAutoIntensityClassificationProcessing::inImage

The input image.

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

SoImageVizEngineOutput<SoSFImageDataAdapter,SoImageDataAdapter*> SoAutoIntensityClassificationProcessing::outLabelImage

The output label image where a one label represents one class.

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

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

• ImageViz/Engines/ImageSegmentation/Classification/SoAutoIntensityClassificationProcessing.h