23 January 2017 Image segmentation on adaptive sub-region smoothing
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Proceedings Volume 10322, Seventh International Conference on Electronics and Information Engineering; 1032212 (2017) https://doi.org/10.1117/12.2265216
Event: Seventh International Conference on Electronics and Information Engineering, 2016, Nanjing, China
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.
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Junruo Gao, Xin Liu, Kun He, "Image segmentation on adaptive sub-region smoothing", Proc. SPIE 10322, Seventh International Conference on Electronics and Information Engineering, 1032212 (23 January 2017); doi: 10.1117/12.2265216; https://doi.org/10.1117/12.2265216
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