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Proceedings Paper

Image segmentation on adaptive sub-region smoothing
Author(s): Junruo Gao; Xin Liu; Kun He
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Paper Abstract

To improve the performance of the active contour segmentation on real images, a new segmentation method is proposed. In this model, we construct a function about Gaussian variance according to sub-regions intensity. Further, to avoid the curve vanishing, we design the convergence condition based on the confidence level of segmentation sub-regions. Experimental results show that the proposed method is less sensitive to noise and can suppress inhomogeneous intensity regions efficiently.

Paper Details

Date Published: 23 January 2017
PDF: 8 pages
Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032212 (23 January 2017); doi: 10.1117/12.2265216
Show Author Affiliations
Junruo Gao, Sichuan Univ. (China)
Xin Liu, Sichuan Univ. (China)
Kun He, Sichuan Univ. (China)


Published in SPIE Proceedings Vol. 10322:
Seventh International Conference on Electronics and Information Engineering
Xiyuan Chen, Editor(s)

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