Document Type

Article

Publication Date

2007

Publication Title

Proceedings of the Machine Learning and Computer Vision

Volume

88

Issue

590

First Page

33

Last Page

37

DOI

10.1109/CISP.2008.376

Abstract

A method for color image segmentation using a competitive learning clustering scheme is examined, and some basic improvements are made. Two important aspects of the color image segmentation problem, namely color space selection and over segmentation, are discussed in the context of the algorithm, with comments about suitability and effectiveness of choices for various applications. A variety of settings are tested and compared to highlight performance.

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