DocumentCode :
3222278
Title :
Towards autonomy in active contour models
Author :
Berger, Marie-Odile ; Mohr, Roger
Author_Institution :
INRIA Lorraine/CRIN, Vandoeuvre, France
Volume :
i
fYear :
1990
fDate :
16-21 Jun 1990
Firstpage :
847
Abstract :
The strengths and the drawbacks of active contour models are described, and the absolute necessity of a criterion for assessing the solutions is pointed out. A method called snake growing, based on successive lengthenings of the snake, is proposed. The strength of this approach is that, at each stage, good convergence conditions are realized and initialization problems can be eliminated
Keywords :
convergence; pattern recognition; picture processing; active contour models; convergence; snake growing; solution assessment criterion; Active contours; Computer vision; Detectors; Elasticity; Image edge detection; Image segmentation; Minimization methods; Motion detection; Spline; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1990. Proceedings., 10th International Conference on
Conference_Location :
Atlantic City, NJ
Print_ISBN :
0-8186-2062-5
Type :
conf
DOI :
10.1109/ICPR.1990.118228
Filename :
118228
Link To Document :
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