Towards recognition-based variational segmentation using shape priors and dynamic labeling

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2695, Issue , 2003, Pages 388-400

  Cremers, Daniel ^a   Sochen, Nir ^b   Schnörr, Christoph ^c  

^a University of California   (United States)

^b TEL AVIV UNIVERSITY   (Israel)

^c UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; IMAGE SEGMENTATION;

DYNAMIC LABELING; INDEPENDENT OBJECTS; LABELING FUNCTIONS; LEVEL SET FORMULATIONS; LEVEL SET FUNCTIONS; MUMFORD-SHAH FUNCTIONALS; NUMERICAL RESULTS; VARIATIONAL APPROACHES;

IMAGE PROCESSING;

EID: 33646595736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44935-3_27     Document Type: Article

References (21)

1. E. Borenstein and S. Ullman. Class-specific, top-down segmentation. In A. Heyden et al., editors, Proc. of the Europ. Conf. on Comp. Vis., volume 2351 of LNCS, pages 109-122, Copenhagen, May 2002. Springer, Berlin.
2. V. Caselles, R. Kimmel, and G. Sapiro. Geodesic active contours. In Proc. IEEE Internat. Conf. on Comp. Vis., pages 694-699, Boston, USA, 1995.
3. T. Chan and L. Vese. Active contours without edges. IEEE Trans. Image Processing, 10(2):266-277, 2001.
4. T. Chan and L. Vese. A level set algorithm for minimizing the Mumford-Shah functional in image processing. In IEEE Workshop on Variational and Level Set Methods, pages 161-168, Vancouver, CA, 2001.
5. Y. Chen, S. Thiruvenkadam, H. Tagare, F. Huang, D. Wilson, and E. Geiser. On the incorporation of shape priors into geometric active contours. In IEEE Workshop on Variational and Level Set Methods, pages 145-152, Vancouver, CA, 2001.
6. T. F. Cootes, A. Hill, C. J. Taylor, and J. Haslam. Use of active shape models for locating structures in medical images. Image and Vision Computing, 12(6):355-365, 1994.
7. D. Cremers, T. Kohlberger, and C. Schnörr. Nonlinear shape statistics in Mumford-Shah based segmentation. In A. Heyden et al., editors, Proc. of the Europ. Conf. on Comp. Vis., volume 2351 of LNCS, pages 93-108, Copenhagen, May 2002. Springer, Berlin.
8. D. Cremers, F. Tischhäuser, J. Weickert, and C. Schnörr. Diffusion Snakes: Introducing statistical shape knowledge into the Mumford-Shah functional. Int. J. of Comp. Vis., 50(3):295-313, 2002.
9. J. Gomes and O. D. Faugeras. Level sets and distance functions. In D. Vernon, editor, Proc. of the Europ. Conf. on Comp. Vis., volume 1842 of LNCS, pages 588-602, Dublin, Ireland, 2000. Springer.
10. U. Grenander, Y. Chow, and D.M. Keenan. Hands: A Pattern Theoretic Study of Biological Shapes. Springer, New York, 1991.
11. S. Kichenassamy, A. Kumar, P. J. Olver, A. Tannenbaum, and A. J. Yezzi. Gradient flows and geometric active contour models. In Proc. IEEE Internat. Conf. on Comp. Vis., pages 810-815, Boston, USA, 1995.
12. M. E. Leventon, W. E. L. Grimson, and O. Faugeras. Statistical shape influence in geodesic active contours. In Proc. Conf. Computer Vis. and Pattern Recog., volume 1, pages 316-323, Hilton Head Island, SC, June 13-15, 2000.
13. J.-M. Morel and S. Solimini. Variational Methods in Image Segmentation. Birkhäuser, Boston, 1995.
14. D. Mumford and J. Shah. Optimal approximations by piecewise smooth functions and associated Variational problems. Comm. Pure Appl. Math., 42:577-685, 1989.
15. S. J. Osher and J. A. Sethian. Fronts propagation with curvature dependent speed: Algorithms based on Hamilton-Jacobi formulations. J. of Comp. Phys., 79:12-49, 1988.
16. M. Rousson and N. Paragios. Shape priors for level set representations. In A. Heyden et al., editors, Proc. of the Europ. Conf. on Comp. Vis., volume 2351 of LNCS, pages 78-92, Copenhagen, May 2002. Springer, Berlin.
17. L. H. Staib and J. S. Duncan. Boundary finding with parametrically deformable models. IEEE Trans. on Patt. Anal. and Mach. Intell., 14(11):1061-1075, 1992.
18. M. Sussman and E. Fatemi. An efficient, interface-preserving level set redistancing algorithm and its application to interfacial incompressible fluid flow. SIAM J. Sci. Comput., 20(4):1165-1191, 1999.
19. M. Sussman, Smereka P., and S. J. Osher. A level set approach for computing solutions to incompressible twophase flow. J. of Comp. Phys., 94:146-159, 1994.
20. A. Tsai, A. Yezzi, W. Wells, C. Tempany, D. Tucker, A. Fan, E. Grimson, and A.. Willsky. Model-based curve evolution technique for image segmentation. In Conf. on Comp. Vision Patt. Recog., pages 463-468, Kauai, Hawaii, 2001.
21. A. Yuille and P. Hallinan. Deformable templates. In A. Blake and A. Yuille, editors, Active Vision, pages 21-38. MIT Press, 1992.