P. Perona and J. Malik, Scale-space and edge detection using anisotropic diffusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.12, issue.7, pp.629-639, 1990.
DOI : 10.1109/34.56205

M. J. Black, G. Sapiro, D. H. Marimont, and D. Heeger, Robust anisotropic diffusion, IEEE Transactions on Image Processing, vol.7, issue.3, pp.421-432, 1998.
DOI : 10.1109/83.661192

C. Couprie, L. Grady, L. Najman, and H. Talbot, Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest, 2009 IEEE 12th International Conference on Computer Vision, pp.731-738, 2009.
DOI : 10.1109/ICCV.2009.5459284

URL : https://hal.archives-ouvertes.fr/hal-00622409

L. Rudin, S. Osher, and E. Fatemi, Nonlinear total variation based noise removal algorithms, Physica D: Nonlinear Phenomena, vol.60, issue.1-4, pp.259-268, 1992.
DOI : 10.1016/0167-2789(92)90242-F

D. Mumford and J. Shah, Optimal approximations by piecewise smooth functions and associated variational problems, Communications on Pure and Applied Mathematics, vol.3, issue.5, pp.577-685, 1989.
DOI : 10.1002/cpa.3160420503

URL : http://nrs.harvard.edu/urn-3:HUL.InstRepos:3637121

L. Vese and T. Chan, 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

A. Chambolle, An algorithm for total variation minimization and applications, pp.89-97, 2004.

J. Darbon and M. Sigelle, Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization, Journal of Mathematical Imaging and Vision, vol.2, issue.4, pp.261-276, 2006.
DOI : 10.1007/s10851-006-8803-0

X. Bresson, S. Esedoglu, P. Vandergheynst, J. Thiran, and S. Osher, Fast Global Minimization of the Active Contour/Snake Model, Journal of Mathematical Imaging and Vision, vol.7, issue.3, pp.151-167, 2007.
DOI : 10.1007/s10851-007-0002-0

L. Grady and C. Alvino, The Piecewise Smooth Mumford–Shah Functional on an Arbitrary Graph, IEEE Transactions on Image Processing, vol.18, issue.11, pp.2547-2561, 2009.
DOI : 10.1109/TIP.2009.2028258