Shape-Based Active Contours for Fast Video Segmentation

被引:17
作者
Mahmoodi, Sasan [1 ]
机构
[1] Univ Southampton, Sch Elect & Comp Sci, Southampton SO17 1BJ, Hants, England
关键词
Active contours; Chan-Vese model; image; Mumford-Shah functional; segmentation; shape characteristic function; video;
D O I
10.1109/LSP.2009.2025924
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this letter, we propose a shape- based active contours method for segmentation, based on a piecewise-constant approximation of the Mumford-Shah (M-S) functional. The Chan-Vese (C-V) formalism in a level set framework is used to formulate our method; however no sign distance function (SDF) is employed in the method proposed here. This method has the topology-free segmentation associated with the C-V algorithm and adds faster convergence, less memory requirement and fast re-initialization. These properties make the algorithm very attractive for video segmentation.
引用
收藏
页码:857 / 860
页数:4
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