8 March 2017 Extraction of thin occlusions from digital images
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Proceedings Volume 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016; 1025540 (2017) https://doi.org/10.1117/12.2268111
Event: Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 2016, Jinhua, Suzhou, Chengdu, Xi'an, Wuxi, China
Abstract
We propose a method to extract thin occlusions from multi-focus images. The occluders are various shapes of arbitrarily thin noise (e.g., fences, window shutters, tree branches and football nets). The proposed method can recognize and extract the thin occlusions in a variety of complex scenes by using color similarity and image registration. Experimental results on real images show the validity of the proposed method.
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Yinlong Li, Yinlong Li, Yu Wang, Yu Wang, Yan Piao, Yan Piao, } "Extraction of thin occlusions from digital images", Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 1025540 (8 March 2017); doi: 10.1117/12.2268111; https://doi.org/10.1117/12.2268111
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