Shape-Based Active Contours for Fast Video Segmentation

doi:10.1109/LSP.2009.2025924

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Shape-Based Active Contours for Fast Video Segmentation

2009-10-01

Sasan Mahmoodi *

DOI：10.1109/LSP.2009.2025924

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Abstract

En 中文

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.

Keywords:

Active contours

Chan-Vese model

image

Mumford-Shah functional

segmentation

shape characteristic function

video

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