ANALYSIS AND ESTIMATION

Color image segmentation using a self-organizing map algorithm

[+] Author Affiliations
Hui-Yu Huang

National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan?300, Republic of China

Yung-Sheng Chen

Yuan Ze University, Department of Electrical Engineering, Chung-Li, Taiwan?320, Republic of China

Wen-Hsing Hsu

National Tsing Hua University, Department of Electrical Engineering, Hsinchu, Taiwan?300, Republic of China

Academia Sinica, Institute of Information Science, Taipei, Taiwan?115, Republic of China E-mail: whhsu@snoopy.ee.nthu.edu.tw

J. Electron. Imaging. 11(2), 136-148 (Apr 01, 2002). doi:10.1117/1.1455007
History: Received Mar. 20, 2001; Revised Aug. 20, 2001; Accepted Sep. 5, 2001; Online April 12, 2002
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A color image segmentation methodology based on a self-organizing map (SOM) is proposed. The method developed takes into account the color similarity and spatial relationship of objects within an image. According to the features of color similarity, an image is first segmented into coarse cluster regions. The resulting regions are then treated by computing the spatial distance between any two cluster regions, and the SOM with a labeling process is applied. In this paper, the selection of the parameters for the SOM algorithm was also investigated experimentally. The experimental results show that the proposed system is feasible, and that the segmented object regions are similar to those perceived by human vision. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Hui-Yu Huang ; Yung-Sheng Chen and Wen-Hsing Hsu
"Color image segmentation using a self-organizing map algorithm", J. Electron. Imaging. 11(2), 136-148 (Apr 01, 2002). ; http://dx.doi.org/10.1117/1.1455007


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