Inward and outward curve evolution using level set method, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999. ,
DOI : 10.1109/ICIP.1999.817097
Iterative backward segmentation for hierarchical wavelet image coding, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000. ,
DOI : 10.1109/ICIP.2000.901040
Image segmentation using active contours: Calculous of variation or shape optimization? ,
Mathematical problems in image processing. Partial differential equations and the calculus of variations, Applied Mathematical Sciences, 2001. ,
A geometric model for active contours in image processing, Numerische Mathematik, pp.1-33, 1993. ,
DOI : 10.1007/BF01385685
Geodesic active contours, Proceedings of IEEE International Conference on Computer Vision, pp.61-79, 1997. ,
DOI : 10.1109/ICCV.1995.466871
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2196
Game-theoretic integration for image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.1, 1999. ,
DOI : 10.1109/34.745730
Deformable boundary finding in medical images by integrating gradient and region information, IEEE Transactions on Medical Imaging, vol.15, issue.6, pp.859-870, 1996. ,
DOI : 10.1109/42.544503
Active contours without edges, IEEE Transactions on Image Processing, vol.10, issue.2, pp.266-277, 2001. ,
DOI : 10.1109/83.902291
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.1828
Statistical region snake-based segmentation adapted to different physical noise models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.11, pp.1145-1156, 1999. ,
DOI : 10.1109/34.809108
URL : https://hal.archives-ouvertes.fr/hal-00079599
On active contour models and balloons. Computer Vision, Graphics and Image Processing: Image Understanding, pp.211-218, 1991. ,
DOI : 10.1016/1049-9660(91)90028-n
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.158.8722
Surface reconstruction using active contour models, SPIE Conference on Geometric Methods in Computer Vision, 1993. ,
URL : https://hal.archives-ouvertes.fr/inria-00074848
Segmentation par contours actifs en imagerie médicale dynamique: Application en cardiologie nucléaire, 2000. ,
Space-time segmentation using level set active contours applied to myocardial gated SPECT, IEEE Transactions on Medical Imaging, vol.20, issue.7, pp.643-659, 2001. ,
DOI : 10.1109/42.932748
URL : https://hal.archives-ouvertes.fr/hal-00367622
Shape and Topology Constraints on Parametric Active Contours, Computer Vision and Image Understanding, vol.83, issue.2, pp.140-171, 2001. ,
DOI : 10.1006/cviu.2001.0920
URL : https://hal.archives-ouvertes.fr/inria-00615109
Fast geodesic active contours, IEEE Transactions on Image Processing, pp.1467-1475, 2001. ,
Reconciling Distance Functions and Level Sets, Journal of Visual Communication and Image Representation, vol.11, issue.2, pp.209-223, 2000. ,
DOI : 10.1006/jvci.1999.0439
URL : https://hal.archives-ouvertes.fr/inria-00073006
An Introduction to Statistical Signal Processing, 2000. ,
DOI : 10.1017/CBO9780511801372
Minimum discrimination information clustering: modeling and quantization with Gauss mixtures, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001. ,
DOI : 10.1109/ICIP.2001.958039
Detection and tracking of moving objects using a new level set based method, International Conference on Pattern Recognition, pp.1112-1117, 2000. ,
Regionbased active contours for video object segmentation with camera compensation, International Conference on Image Processing, 2001. ,
Video object segmentation using Eulerian region-based active contours, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, 2001. ,
DOI : 10.1109/ICCV.2001.937540
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.11.7882
A 3-Step Algorithm Using Region-Based Active Contours for Video Objects Detection, EURASIP Journal on Advances in Signal Processing, vol.2002, issue.6, pp.2002572-581, 2002. ,
DOI : 10.1155/S1110865702203157
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-332, 1988. ,
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318
Shape modeling with front propagation: a level set approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.17, issue.2, pp.158-175, 1995. ,
DOI : 10.1109/34.368173
Motion segmentation with level sets, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999. ,
DOI : 10.1109/ICIP.1999.822868
A review of deformable surfaces: topology, geometry and deformation, Image and Vision Computing, vol.19, issue.14, pp.1023-1040, 2001. ,
DOI : 10.1016/S0262-8856(01)00064-6
URL : https://hal.archives-ouvertes.fr/inria-00615110
Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-684, 1989. ,
DOI : 10.1002/cpa.3160420503
URL : http://nrs.harvard.edu/urn-3:HUL.InstRepos:3637121
Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations, Journal of Computational Physics, vol.79, issue.1, pp.12-49, 1988. ,
DOI : 10.1016/0021-9991(88)90002-2
Geodesic active regions for motion estimation and tracking, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.791292
URL : https://hal.archives-ouvertes.fr/inria-00073043
Geodesic active regions for motion estimation and tracking, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.791292
URL : https://hal.archives-ouvertes.fr/inria-00073043
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach, European Conference in Computer Vision, 2000. ,
DOI : 10.1007/3-540-45053-X_15
Geodesic Active Regions: A New Framework to Deal with Frame Partition Problems in Computer Vision, Journal of Visual Communication and Image Representation, vol.13, issue.1-2, pp.249-268, 2002. ,
DOI : 10.1006/jvci.2001.0475
Geodesic active regions and level set methods for supervised texture segmentation, International Journal of Computer Vision, vol.46, issue.3, p.223, 2002. ,
DOI : 10.1023/A:1014080923068
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.17.2737
Spatial segmentation of color images according to the MDL formalism, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), 2000. ,
DOI : 10.1109/ICIP.2000.899235
B-spline active contours for fast video segmentation, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205), 2001. ,
DOI : 10.1109/ICIP.2001.958609
Region-based strategies for active contour models, International Journal of Computer Vision, vol.23, issue.3, pp.229-251, 1994. ,
DOI : 10.1007/BF01427153
URL : https://hal.archives-ouvertes.fr/inria-00544609
Morphological multiscale segmentation for image coding, Signal Processing, vol.38, issue.3, pp.359-386, 1994. ,
DOI : 10.1016/0165-1684(94)90155-4
A Level Set Model for Image Classification, International Journal of Computer Vision, vol.40, issue.3, pp.187-197, 2000. ,
DOI : 10.1007/3-540-48236-9_27
Computation of discontinuous optical flow by domain decomposition and shape optimization, International Journal of Computer Vision, vol.10, issue.4, pp.153-165, 1992. ,
DOI : 10.1007/BF00127172
Numerical algorithms for propagating interfaces: Hamilton-Jacobi equations and conservation laws, Journal of Differential Geometry, vol.31, issue.1, pp.131-161, 1990. ,
DOI : 10.4310/jdg/1214444092
URL : http://projecteuclid.org/download/pdf_1/euclid.jdg/1214444092
Level Set Methods, 1996. ,
Area and length minimizing flows for shape segmentation, IEEE Transactions on Image Processing, vol.7, issue.3, pp.433-443, 1996. ,
DOI : 10.1109/83.661193
Introduction to shape optimization . Shape sensitivity analysis, 1992. ,
Efficient and reliable schemes for nonlinear diffusion filtering, IEEE Transactions on Image Processing, vol.7, issue.3, pp.398-410, 1998. ,
DOI : 10.1109/83.661190
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.34.9979
A statistical approach to snakes for bimodal and trimodal imagery, Proceedings of the Seventh IEEE International Conference on Computer Vision, 1999. ,
DOI : 10.1109/ICCV.1999.790317
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.416-423, 1995. ,
DOI : 10.1109/ICCV.1995.466909
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996. ,
DOI : 10.1109/ICCV.1995.466909
Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation, Proceedings of IEEE International Conference on Computer Vision, pp.884-900, 1996. ,
DOI : 10.1109/ICCV.1995.466909