Image segmentation via multiple active contour models and fuzzy clustering with biomedical applications

Proceedings-International Conference on Pattern Recognition

Volumn 15, Issue 1, 2000, Pages 622-625

  Schupp S ^a,b,c   Elmoataz, A ^a,b,c   Fadili, J ^a,b,c   Herlin, P ^a,b,c   Bloyet, D ^a,b,c  

^a Centre National de la Recherche Scientifique   (France)

^b CENTRE FRANÇOIS BACLESSE   (France)

^c Centre François Baclesse ^*  (France)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; FUZZY CLUSTERING; MEDICAL APPLICATIONS; MEDICAL IMAGING; PATTERN RECOGNITION;

ACTIVE CONTOUR MODEL; AUTOMATIC INITIALIZATION; AUTOMATIC SEGMENTATIONS; BIOMEDICAL APPLICATIONS; BIOMEDICAL IMAGES; CELL NUCLEUS; CLUSTER OF CELLS; MEDICAL MICROSCOPY;

IMAGE SEGMENTATION;

EID: 11144259924     PISSN: 10514651     EISSN: None     Source Type: Journal    
DOI: 10.1109/ICPR.2000.905415     Document Type: Article

References (16)

1. C. Bezdek, L.O. Hall, L. P. Clarke, "Review of MR image segmentation techniques using pattern recognition". Med. Phys, 20, 1993, pp. 1033-1048.
2. J. Canny, "A computational approach to edge detection", IEEE Transactions on PAMI, 6, 1986, pp. 679-698.
3. V. Caselles, F. Catte, T. Coll, F. Dibos, "A geometric model of active contours", Numerische Mathematick 66, 1993, pp. 1-31.
4. V. Caselles, R. Kimmel, G. Sapiro. "Geodesic active contour", Proceeding of Fifth International Conference on Computer Vision, Cambridge, MA. 1995.
5. R. Deriche, "Using Canny's criteria to derive a recursively implemented optimal edge detector", International Journal of Computer Vision, 1, 1987, pp. 167-187.
6. A. Elmoataz, S. Schüpp, R. Clouard, P. Merlin, D. Bloyet, "Using active contours and mathematical morphology tools for quantification of immunohistochemical images", Signal Processing, 71, 1998, pp. 215-226.
7. M. Kass, A. Witkin, D. Terzopoulous, "Snakes: Active Contour Models", International Journal Of Computer Vision, 1, 1988, pp. 321-331.
8. S. Kichenassamy, A. Kumar, P.J. Olver, A. Tannenbaum, A. Yezzi, "Gradient flows and geometric active contours", Proceeding of Fifth International Conference on Computer Vision, Cambridge, 1995., pp. 810-815.
9. O. Lezoray, A. Elmoataz, H. Cardot, M. Revenu, "A.R.C.T.I.C: un système automatique de tri cellulaire par analyse d'images", Vision Interface 99, Trois-Rivières, Canada, 1999, pp. 312-319.
10. J. Morel, S. Soleimini, Variational. Methods in Image Segmentation. Progress in Nonlinear Differential Equations and their application, Birkhaüser 1995.
11. S. Osher, J.A. Sethian, "Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations", Journal of computational physics, 79, 1988, pp. 12-49.
12. N. Paragios, R. Deriche, "Geodesic Active regions for motion estimation and tracking", IEEE Conference on Computer Vision, Corfu, Greece, 1999, pp. 674-688,.
13. C. Samson, L. Blanc-Feraud, G. Aubert, J. Zerubia, "A level set model for image classification", rapport de recherche, INRIA, France, 1999, RR-3662.
14. J. Sethian, Level Set Methods: Evolving interfaces in geometry, fluid mechanics, computer vision, and material science, Cambridge University Press, 1996.
15. Yezzi et al, ICCV 99. In press.
16. S. Zhu, A. Yuille, "Region competition: Unifying Snakes, Region Growing, and Byes/MDL for Multiband Image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 18, 1996, pp. 884-900.