On the methods of image segmentation with uncertainty

Kun Qin; Deyi Li; Kai Xu; Tao Wu; Ning Yin; Min Xu

doi:10.1117/12.712974

28 October 2006 On the methods of image segmentation with uncertainty

Kun Qin, Deyi Li, Kai Xu, Tao Wu, Ning Yin, Min Xu

Proceedings Volume 6420, Geoinformatics 2006: Geospatial Information Science; 642018 (2006) https://doi.org/10.1117/12.712974
Event: Geoinformatics 2006: GNSS and Integrated Geospatial Applications, 2006, Wuhan, China

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.

Citation Download Citation

Kun Qin, Deyi Li, Kai Xu, Tao Wu, Ning Yin, and Min Xu "On the methods of image segmentation with uncertainty", Proc. SPIE 6420, Geoinformatics 2006: Geospatial Information Science, 642018 (28 October 2006); https://doi.org/10.1117/12.712974

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