Title :
Shape-Based Active Contours for Fast Video Segmentation
Author_Institution :
Sch. of Electron. & Comput. Sci., Southampton Univ., Southampton, UK
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.
Keywords :
image segmentation; piecewise constant techniques; Chan-Vese formalism; Mumford-Shah functional; fast re-initialization; faster convergence; less memory requirement; piecewise-constant approximation; shape-based active contours; video segmentation; Active contours; Chan–Vese model; Mumford–Shah functional; image; segmentation; shape characteristic function; video;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2009.2025924