Shape-based Active Contours for Fast Video Segmentation
Mahmoodi, Sasan (2009) Shape-based Active Contours for Fast Video Segmentation. IEEE Signal Processing Letters, 16, (10), 857-860.
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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.|
|Divisions:||Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Comms, Signal Processing & Control
|Date Deposited:||27 Oct 2009 09:40|
|Last Modified:||01 Mar 2012 15:55|
|Contributors:||Mahmoodi, Sasan (Author)
|Publisher:||IEEE Signal Processing Society|
|Further Information:||Google Scholar|
|ISI Citation Count:||6|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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