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Proceedings Paper

Color image segmentation on region growing and multi-scale clustering
Author(s): Zong-pu Jia; Wei-xing Wang; Jun-ding Sun; Tai-wen Wei
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Paper Abstract

This paper presents a color image segmentation method by combining region growing and color clustering algorithms. This method considers the both color and location information in a transformed color space. After multi-scale clustering (MSC), it does a spatial processing - region growing. MSC can perform better in conquering the over-segment problem than equal distance clustering. Compared with the previous methods only depending on MSC, the region growing can enhance the ability of noise suppression. This method inherits the idea that operates clustering first and then carries out spatial processing. Both clustering algorithm and spatial processing algorithm are improved, so this method (the two algorithms) can obtain more satisfactory results.

Paper Details

Date Published: 25 January 2011
PDF: 8 pages
Proc. SPIE 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications, 78661N (25 January 2011); doi: 10.1117/12.872089
Show Author Affiliations
Zong-pu Jia, Henan Polytechnic Univ. (China)
Wei-xing Wang, Henan Polytechnic Univ. (China)
Jun-ding Sun, Henan Polytechnic Univ. (China)
Tai-wen Wei, Univ. of Electronic Science And Technology of China (China)


Published in SPIE Proceedings Vol. 7866:
Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu; Alessandro Rizzi, Editor(s)

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