Color image segmentation using competitive learning
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 16 (12) , 1197-1206
- https://doi.org/10.1109/34.387488
Abstract
Presents a color image segmentation method which divides the color space into clusters. Competitive learning is used as a tool for clustering the color space based on the least sum-of-squares criterion. We show that competitive learning converges to approximate the optimum solution based on this criterion, theoretically and experimentally. We apply this method to various color scenes and show its efficiency as a color image segmentation method. We also show the effects of using different color coordinates to be clustered, with some experimental results.Keywords
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