C. Baillard, C. Barillot, and P. Bouthemy, Robust adaptive segmentation of 3D medical images with level sets, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00072562

H. B. Ameur, G. Chavent, and J. Jaffré, Refinement and coarsening indicators for adaptive parametrization: application to the estimation of hydraulic transmissivities, Inverse Problems, vol.18, issue.3, pp.775-794, 2002.
DOI : 10.1088/0266-5611/18/3/317

H. B. Ameur, F. Clément, P. Weis, and G. Chavent, The multidimensional refinement indicators algorithm for optimal parameterization, Journal of Inverse and Ill-Posed Problems, pp.107-126, 2008.
DOI : 10.1515/JIIP.2008.008
URL : https://hal.archives-ouvertes.fr/inria-00079668

H. , B. Ameur, and B. Kaltenbacher, Regularization of parameter estimation by adaptive discretization using refinement and coarsening indicators, Journal of Inverse and Ill-Posed Problems, pp.561-583, 2002.

E. Borenstein and S. Ullman, Combined Top-Down/Bottom-Up Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.12, pp.2109-2125, 2008.
DOI : 10.1109/TPAMI.2007.70840

A. Chakraborty and J. S. Duncan, Integration of boundary finding and region-based segmentation using game theory, Information Processing in Medical Imaging, pp.189-201, 1995.

G. Chavent, Nonlinear Least Squares for Inverse Problems, volume XIV of Scientific Computation, 2010.

J. Chen, Adaptive image segmentation based on color and texture, Proceedings of the International Conference on Image Processing (ICIP), pp.789-792, 2002.

H. D. Cheng, X. H. Jiang, Y. Sun, and J. Wang, Color image segmentation: advances and prospects, Pattern Recognition, vol.34, issue.12, pp.2259-2281, 2001.
DOI : 10.1016/S0031-3203(00)00149-7

J. Fan, D. K. Yau, A. K. Elmagarmid, and W. G. Aref, Automatic image segmentation by integrating color-edge extraction and seeded region growing, IEEE Transactions on Image Processing, vol.10, issue.10, pp.1454-1466, 2001.

S. Geman and D. Geman, Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.6, pp.452-472, 1984.

G. Koepfler, C. Lopez, and J. M. , A Multiscale Algorithm for Image Segmentation by Variational Method, SIAM Journal on Numerical Analysis, vol.31, issue.1, pp.282-299, 1994.
DOI : 10.1137/0731015

L. Popille, Gros becàbecà chapeau jaune en short, 2004.

X. Muñoz, J. Freixenet, X. Cufí, and J. Martí, Strategies for image segmentation combining region and boundary information, Pattern Recognition Letters, vol.24, issue.1-3, pp.375-392, 2003.
DOI : 10.1016/S0167-8655(02)00262-3

E. Nadernejad, S. Sharifzadeh, and H. Hassanpour, Edge detection techniques: Evaluations and comparisons, Applied Mathematics Sciences, vol.31, pp.1507-1520, 2008.

Y. Ohta, K. Kanade, and T. Sakai, Color information for region segmentation, Computer Graphics and Image Processing, vol.13, issue.3, pp.222-241, 1980.
DOI : 10.1016/0146-664X(80)90047-7

C. Pachai, Y. M. Zhu, C. R. Guttmann, R. Kikinis, F. A. Jolesz et al., Unsupervised and Adaptive Segmentation of Multispectral 3D Magnetic Resonance Images of Human Brain: A Generic Approach, Proc. of the Fourth Internat. Conf. on Medical Image Computing and Computer-Assisted Intervention (MICCAI-2001), pp.1067-1074, 2001.
DOI : 10.1007/3-540-45468-3_127

N. R. Pal and S. K. , A review on image segmentation techniques, Pattern Recognition, vol.26, issue.9, pp.1277-1294, 1993.
DOI : 10.1016/0031-3203(93)90135-J

T. N. Pappas, An adaptive clustering algorithm for image segmentation, IEEE Transactions on Signal Processing, vol.40, issue.4, pp.901-914, 1992.
DOI : 10.1109/78.127962

T. Pavlidis, Structural Pattern Recognition, 1980.
DOI : 10.1007/978-3-642-88304-0

S. Philipp-foliguet and L. Guigues, New Criteria for Evaluating Image Segmentation Results, 2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, pp.109-112, 2006.
DOI : 10.1109/ICASSP.2006.1660291

M. Pietikäinen, A. Rosenfeld, and I. Walter, Split-and-link algorithms for image segmentation, Pattern Recognition, vol.15, issue.4, pp.287-298, 1982.
DOI : 10.1016/0031-3203(82)90031-0

C. Rosenberg, K. Chehdi, and C. Kermad, Adaptive segmentation system, Proc. of the 5th Internat. Conf. on Signal Processing, pp.918-921, 2000.

W. Skarbek and A. Koschan, Colour image segmentation -a survey, 1994.

L. Spirkovska, A summary of image segmentation techniques, 1993.

S. Tominaga, Color image segmentation using three perceptual attributes, IEEE Proceedings of the Conference on Computer Vision and Pattern Recognition, pp.626-630, 1986.

A. Tremeau and N. Borel, A region growing and merging algorithm to color segmentation, Pattern Recognition, vol.30, issue.7, pp.561-568, 1997.
DOI : 10.1016/S0031-3203(96)00147-1

T. Uchiyama and M. A. Arbib, Color image segmentation using competitive learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.16, issue.12, pp.1197-1206, 1994.
DOI : 10.1109/34.387488
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.84.6282

X. Wu, Adaptive split-and-merge segmentation based on piecewise least-square approximation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.15, issue.8, pp.808-815, 1993.
DOI : 10.1109/34.236248