Image Segmentation Using Active Contours: Calculus of Variations or Shape Gradients?, SIAM Journal on Applied Mathematics, vol.63, issue.6, pp.2128-2154, 2003. ,
DOI : 10.1137/S0036139902408928
URL : https://hal.archives-ouvertes.fr/inria-00072105
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001, pp.105-112, 2001. ,
DOI : 10.1109/ICCV.2001.937505
On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional, SSVM 2007, pp.203-213, 2007. ,
DOI : 10.1007/978-3-540-72823-8_18
Geodesic active contours); A shorter version appeared at 5th ICCV, 1994. ,
DOI : 10.1109/iccv.1995.466871
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2196
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
Generalized Gradients: Priors on Minimization Flows, International Journal of Computer Vision, vol.80, issue.3, pp.325-344, 2007. ,
DOI : 10.1007/s11263-006-9966-2
URL : https://hal.archives-ouvertes.fr/hal-01117529
A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape, International Journal of Computer Vision, vol.18, issue.9, pp.195-215, 2007. ,
DOI : 10.1007/s11263-006-8711-1
Recursively implementing the gaussian and its derivatives, 1993. ,
A finite element method for the simulation of a Rayleigh-Taylor instability, Lecture Notes in Mathematics, vol.216, pp.145-159, 1979. ,
DOI : 10.1016/0021-9991(79)90086-X
Random Walks for Image Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, issue.11, pp.1768-1783, 2006. ,
DOI : 10.1109/TPAMI.2006.233
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.3389
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours, International Journal of Computer Vision, vol.21, issue.2, pp.7-25, 2006. ,
DOI : 10.1007/s11263-006-6849-5
Snakes: Active contour models, International Journal of Computer Vision, vol.5, issue.6035, pp.321-331, 1987. ,
DOI : 10.1007/BF00133570
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.124.5318
Gradient flows and geometric active contour models, Proceedings of IEEE International Conference on Computer Vision, pp.810-815, 1995. ,
DOI : 10.1109/ICCV.1995.466855
URL : https://hal.archives-ouvertes.fr/hal-00002665
Nonparametric methods for image segmentation using information theory and curve evolution, IEEE International Conference on Image Processing, pp.797-800, 2002. ,
Feature detection with automatic scale selection, The International Journal of Computer Vision, vol.30, issue.2, pp.77-116, 1998. ,
Variational Methods in Image Segmentation, Progress in Nonlinear Differential Equations and Their Applications, 1995. ,
DOI : 10.1007/978-1-4684-0567-5
Variational Segmentation using Fuzzy Region Competition and Local Non-Parametric Probability Density Functions, 2007 IEEE 11th International Conference on Computer Vision, 2007. ,
DOI : 10.1109/ICCV.2007.4408959
URL : https://hal.archives-ouvertes.fr/hal-00438812
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.413.5254
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
Efficient Segmentation of Piecewise Smooth Images, SSVM 2007, pp.709-720, 2007. ,
DOI : 10.1007/978-3-540-72823-8_61
Level Set Methods and Fast Marching Methods: Evolving Interfaces in Computational Geometry, Fluid Mechanics, Computer Vision, and Materials Sciences. Cambridge Monograph on Applied and Computational Mathematics, 1999. ,
Sobolev Active Contours, International Journal of Computer Vision, vol.58, issue.2, pp.345-366, 2007. ,
DOI : 10.1007/s11263-006-0635-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.121.7504
Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification, IEEE Transactions on Image Processing, vol.10, issue.8, pp.1169-1186, 2001. ,
DOI : 10.1109/83.935033
A multiphase level set framework for image segmentation using the Mumford and Shah model, International Journal of Computer Vision, vol.50, issue.3, pp.271-293, 2002. ,
DOI : 10.1023/A:1020874308076
Model and large-scale simulator of a biological retina with contrast gain control, 2008. ,
Snakes, shapes, and gradient vector flow, IEEE Transactions on Image Processing, vol.7, issue.3, pp.359-369, 1998. ,