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
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.
DOI
10.1109/CISP.2008.376
Recommended Citation
Mavrinac, Aaron; Wu, Jonathan; Chen, Xiang; and Tepe, Kemal. (2007). Competitive learning techniques for color image segmentation. Proceedings of the Machine Learning and Computer Vision, 88 (590), 33-37.
https://scholar.uwindsor.ca/electricalengpub/5