DocumentCode :
454775
Title :
Fourier-Based Invariant Shape Prior for Snakes
Author :
Derrode, S. ; Charmi, M.A. ; Ghorbel, F.
Author_Institution :
GSM, Dom. Univ. de St Jerome
Volume :
2
fYear :
2006
fDate :
14-19 May 2006
Abstract :
A novel method of parametric active contours with geometric shape prior is presented in this paper. The main idea of the method consists in minimizing an energy functional that includes an additional information on a shape reference called "template" or "prototype". Prior shape knowledge is introduced throw a complete family of Euclidean invariants, computed from the Fourier descriptors of the evolving contour and the prototype. It enhances the model robustness to noise and occlusion, and allows it to evolve in highly concave boundaries. The variational formulation of the proposed approach is described in details. Experimental results on both synthetic and real images are presented and discussed
Keywords :
Fourier analysis; image processing; Euclidean invariants; Fourier-based invariant shape; geometric shape; parametric active contours; snakes; Active contours; Bayesian methods; Fourier transforms; GSM; Noise robustness; Noise shaping; Probability distribution; Prototypes; Shape; Statistical distributions; Euclidean invariants; Fourier descriptors; Snakes; active contours; shape prior;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on
Conference_Location :
Toulouse
ISSN :
1520-6149
Print_ISBN :
1-4244-0469-X
Type :
conf
DOI :
10.1109/ICASSP.2006.1660289
Filename :
1660289
Link To Document :
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