PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Shape-based Active Contours for Fast Video Segmentation
Sasan Mahmoodi
IEEE Signal Processing Letters Volume 16, Number 10, pp. 857-860, 2009.

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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EPrint Type:Article
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Theory & Algorithms
ID Code:5594
Deposited By:Sasan Mahmoodi
Deposited On:08 March 2010