SoAutoIntensityClassificationProcessing Class Reference
[Classification]

ImageViz 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:
SoImageVizEngine SoEngine SoFieldContainer SoBase SoRefCounter SoTypedObject

List of all members.

Public Member Functions

 SoAutoIntensityClassificationProcessing ()

Public Attributes

SoSFEnum computeMode
SoSFImageDataAdapter inImage
SoSFInt32 classNumber
SoSFInt32 dataPercentage
SoImageVizEngineOutput
< SoSFImageDataAdapter,
SoImageDataAdapter * > 
outLabelImage

Detailed Description

ImageViz 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

FILE FORMAT/DEFAULT


Library references: k_means_classification


Constructor & Destructor Documentation

SoAutoIntensityClassificationProcessing::SoAutoIntensityClassificationProcessing (  ) 

Constructor.


Member Data Documentation

The number of classes to detect (i.e.

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

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

Default is MODE_AUTO

The data percentage used for pre-computing the classification.

Default value is 100.

The input image.

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

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

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


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

Open Inventor Toolkit reference manual, generated on 17 Aug 2020
Copyright © Thermo Fisher Scientific All rights reserved.
http://www.openinventor.com/