DocumentCode
2312878
Title
Fast probabilistic snake algorithm
Author
Gilles, Jirôome ; Collin, Berirand
Author_Institution
Centre Tech. d´´Arcueil, Arcueil, France
Volume
3
fYear
2003
fDate
14-17 Sept. 2003
Abstract
Few people use the probability theory in order to achieve image segmentation with snake models. In this article, we are presenting an active contour algorithm based on a probability approach inspired by A. Blake work and P. Refregier´s team research in France. Our algorithm, both very fast and highly accurate as far as contour description is concerned, is easily adaptable to any specific application.
Keywords
image segmentation; minimisation; probability; active contour algorithm; energy minimization; image segmentation; probability theory; snake models; Active contours; Image edge detection; Image segmentation; Mathematical model; Neodymium; Probability; Region 6; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on
ISSN
1522-4880
Print_ISBN
0-7803-7750-8
Type
conf
DOI
10.1109/ICIP.2003.1247267
Filename
1247267
Link To Document