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Proceedings Paper

On the methods of image segmentation with uncertainty
Author(s): Kun Qin; Deyi Li; Kai Xu; Tao Wu; Ning Yin; Min Xu
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Paper Abstract

There are much uncertainty in the process of image segmentation, The paper firstly researched the sources of uncertainty of image segmentation; and then analyzed the method of image segmentation based on K means cluster, and the method based on fuzzy K means cluster; and then, the paper researched the theory of cloud model, which considers the fuzziness, random and the their association of uncertainty. The paper put forward a new method of image segmentation based on cloud model. Lastly, the experiments proved the method of image segmentation based on cloud model is better than the method based on fuzzy K means cluster and the method based on K means.

Paper Details

Date Published: 28 October 2006
PDF: 10 pages
Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642018 (28 October 2006); doi: 10.1117/12.712974
Show Author Affiliations
Kun Qin, Wuhan Univ. (China)
Deyi Li, China Institute of Electronic System Engineering (China)
Kai Xu, Wuhan Univ. (China)
Tao Wu, Wuhan Univ. (China)
Ning Yin, China Institute of Electronic System Engineering (China)
Min Xu, Wuhan Univ. (China)


Published in SPIE Proceedings Vol. 6420:
Geoinformatics 2006: Geospatial Information Science
Jianya Gong; Jingxiong Zhang, Editor(s)

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