Fast probabilistic snake algorithm

IEEE International Conference on Image Processing

Volumn 3, Issue , 2003, Pages 405-408

  Gilles, Jérôme ^a   Collin, Bertrand ^a  

^a DGA   (France)

Author keywords

Energy minimization; Probability; Regularization; Snake

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; CURVE FITTING; EDGE DETECTION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; PROBLEM SOLVING; STATISTICAL METHODS;

ENERGY MINIMIZATION; REGULARIZATION METHODS;

IMAGE SEGMENTATION;

EID: 0345134174     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. D.Terzopoulos M.Kass, A.Witkin, "Snakes: actives contours models," International Journal of Computer Vision, vol. 1, pp. 312-331, 1988.
2. L.D.Cohen, "On active contour models and balloons," CVGIP: Image understanding, vol. 53, no. 2, pp. 211-218, 1991.
3. J-M.Chassery Y.Elomary, "Cooperation between active contours and multiresolution for edge-based segmentation," Proceedings of the IEEE IMDSP Conference, Cannes, France, pp. 206-207, 1993.
4. G.Sapiro V.Caselles, R.Kimmel, "Geodesic active contours," International Journal of Computer Vision, vol. 22, pp. 61-79, 1997.
5. P.Olver A.Tannenbaum A.Yezzi S.Kichenassamy, A.Kumar, "Gradient flows and geometric active contour models," IEEE International Conference on Computer Vision, vol. 1, pp. 810-815, 1995.
6. N.K.Paragios, Geodesic active regions and level set methods: contributions and applications in artificial vision, Ph.D. thesis, University of Nice Sophia Antipolis, France, 2000.
7. M.Isard A.Blake, Active Contours, Springer, 1999.
8. C.Chesnaud, Techniques statistiques de segmentation par contour actif et mise en oeuvre rapide, Ph.D. thesis, ENSPM, University of Aix-Marseille, France, 2000.
9. Y.Elomary, Modèles déformables et multiresolution pour la détection de contours en traitement d'images, Ph.D. thesis, University of Joseph Fourier, Grenoble, France, 1994.