Shape-based Active Contours for Fast Video Segmentation
Mahmoodi, Sasan (2009) Shape-based Active Contours for Fast Video Segmentation. IEEE Signal Processing Letters, 16, (10), 857-860.
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Description/Abstract
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.
| Item Type: | Article |
|---|---|
| Keywords: | Active contours, Chan–Vese model, image, Mumford– Shah functional, segmentation, shape characteristic function, video. |
| Divisions: | Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control |
| Item ID: | 268111 |
| Date Deposited: | 27 Oct 2009 09:40 |
| Last Modified: | 01 Mar 2012 15:55 |
| Contributors: | Mahmoodi, Sasan (Author) |
| Date: | October 2009 |
| Status: | Published |
| Publisher: | IEEE Signal Processing Society |
| Further Information: | Google Scholar |
| ISI Citation Count: | 6 |
| URI: | http://eprints.soton.ac.uk/id/eprint/268111 |
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- Shape-based Active Contours for Fast Video Segmentation. (deposited 27 Oct 2009 09:40) [Currently Displayed]
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