The University of Southampton
University of Southampton Institutional Repository

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.

Text
IEEEShapeEvolution.pdf - Other
Download (615kB)

More information

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

Identifiers

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

Catalogue record

Date deposited: 27 Oct 2009 09:40
Last modified: 14 Mar 2024 09:04

Export record

Altmetrics

Contributors

Author: Sasan Mahmoodi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×