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Shape-based active contours for fast video segmentation

Shape-based active contours for fast video segmentation
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 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.
active contours, Chan–Vese model, image, Mumford– Shah functional, segmentation, shape characteristic function, video.
857-860
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf

Mahmoodi, Sasan (2009) Shape-based active contours for fast video segmentation. IEEE Signal Processing Letters, 16 (10), 857-860. (doi:10.1109/LSP.2009.2025924).

Record type: Article

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.

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Published date: October 2009
Keywords: active contours, Chan–Vese model, image, Mumford– Shah functional, segmentation, shape characteristic function, video.
Organisations: Southampton Wireless Group

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Local EPrints ID: 268111
URI: https://eprints.soton.ac.uk/id/eprint/268111
PURE UUID: 63cf3dea-3c5f-4aad-baf3-44406e3bec29

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Date deposited: 27 Oct 2009 09:40
Last modified: 19 Jul 2019 22:16

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Author: Sasan Mahmoodi

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