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Shape-Based Active Contours for Fast Video Segmentation
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DOI：10.1109/LSP.2009.2025924.png)
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摘要
En 中文
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.
Keyword:
Active contours
Chan-Vese model
image
Mumford-Shah functional
segmentation
shape characteristic function
video
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期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
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