Shape-based active contours for fast video segmentation
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 emplo...
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| Format: | Article |
| Language: | English |
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2009-10.
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| Online Access: | Get fulltext |
| LEADER | 00902 am a22001213u 4500 | ||
|---|---|---|---|
| 001 | 268111 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Mahmoodi, Sasan |e author |
| 245 | 0 | 0 | |a Shape-based active contours for fast video segmentation |
| 260 | |c 2009-10. | ||
| 856 | |z Get fulltext |u https://eprints.soton.ac.uk/268111/1/IEEEShapeEvolution.pdf | ||
| 520 | |a 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. | ||
| 655 | 7 | |a Article | |