J. E. Solomon, Polarization imaging, Applied Optics, vol.20, issue.9, pp.1537-1544, 1981.
DOI : 10.1364/AO.20.001537

J. S. Tyo, M. P. Rowe, E. N. Pugh, and N. Engheta, Target detection in optically scattering media by polarization-difference imaging, Applied Optics, vol.35, issue.11, pp.1855-1870, 1996.
DOI : 10.1364/AO.35.001855

S. Breugnot and P. Clémenceau, Modeling and performances of a polarization active imager at <inline-formula>??=806???<roman>nm</roman></inline-formula>, Optical Engineering, vol.39, issue.10, pp.2681-2688, 2000.
DOI : 10.1117/1.1286140

S. L. Jacques, J. C. Ramella-roman, and K. Lee, Imaging skin pathology with polarized light, Journal of Biomedical Optics, vol.7, issue.3, pp.329-340, 2002.
DOI : 10.1117/1.1484498

A. Pierangelo, A. Benali, M. Antonelli, T. Novikova, P. Validire et al., Ex-vivo characterization of human colon cancer by Mueller polarimetric imaging, Optics Express, vol.19, issue.2, pp.1582-1593, 2011.
DOI : 10.1364/OE.19.001582

URL : https://hal.archives-ouvertes.fr/hal-00789251

G. L. Amoss and . Cote, Mueller matrix imaging for cancer detection, Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.1027-1030, 2003.

N. Ghosh, M. F. Wood, S. Li, R. D. Weisel, B. C. Wilson et al., Mueller matrix decomposition for polarized light assessment of biological tissues, Journal of Biophotonics, vol.26, issue.3, pp.145-156, 2009.
DOI : 10.1002/jbio.200810040

J. S. Tyo, D. L. Goldstein, D. B. Chenault, and J. A. Shaw, Review of passive imaging polarimetry for remote sensing applications, Applied Optics, vol.45, issue.22, pp.5453-5469, 2006.
DOI : 10.1364/AO.45.005453

P. Terrier, V. Devlaminck, and J. M. Charbois, Segmentation of rough surfaces using a polarization imaging system, Journal of the Optical Society of America A, vol.25, issue.2, pp.423-430, 2008.
DOI : 10.1364/JOSAA.25.000423

URL : https://hal.archives-ouvertes.fr/hal-00648855

M. Anastasiadou, A. D. Martino, D. Clement, F. Liège, B. Laude-boulesteix et al., Polarimetric imaging for the diagnosis of cervical cancer, physica status solidi (c), vol.7, issue.5, pp.1423-1426, 2008.
DOI : 10.1002/pssc.200777805

G. Anna, F. Goudail, and D. Dolfi, Optimal discrimination of multiple regions with an active polarimetric imager, Optics Express, vol.19, issue.25, pp.25367-25378, 2011.
DOI : 10.1364/OE.19.025367

URL : https://hal.archives-ouvertes.fr/hal-00747147

G. Anna, H. Sauer, F. Goudail, and D. Dolfi, Fully tunable active polarization imager for contrast enhancement and partial polarimetry, Applied Optics, vol.51, issue.21, pp.5302-5309, 2012.
DOI : 10.1364/AO.51.005302

URL : https://hal.archives-ouvertes.fr/hal-00747199

G. Anna, F. Goudail, and D. Dolfi, Polarimetric target detection in the presence of spatially fluctuating Mueller matrices, Optics Letters, vol.36, issue.23, pp.4590-4592, 2011.
DOI : 10.1364/OL.36.004590

URL : https://hal.archives-ouvertes.fr/hal-00747158

N. Bertaux, F. Galland, and P. Réfrégier, Multi-initialisation segmentation with non-parametric minimum description length snake, Electronics Letters, vol.47, issue.10, pp.594-595, 2011.
DOI : 10.1049/el.2011.0316

URL : https://hal.archives-ouvertes.fr/hal-00649519

G. Anna, N. Bertaux, F. Galland, F. Goudail, and D. Dolfi, Joint contrast optimization and object segmentation in active polarimetric images, Optics Letters, vol.37, issue.16, pp.3321-3323, 2012.
DOI : 10.1364/OL.37.003321

URL : https://hal.archives-ouvertes.fr/hal-00747209

G. Anna and F. Goudail, Optimal Mueller matrix estimation in the presence of Poisson shot noise, Optics Express, vol.20, issue.19, pp.21331-21340, 2012.
DOI : 10.1364/OE.20.021331

URL : https://hal.archives-ouvertes.fr/hal-00747225

O. Ruch and P. Réfrégier, Minimal-complexity segmentation with a polygonal snake adapted to different optical noise models, Optics Letters, vol.26, issue.13, pp.977-979, 2001.
DOI : 10.1364/OL.26.000977

URL : https://hal.archives-ouvertes.fr/hal-00080047

F. Galland and P. Réfrégier, Minimal stochastic complexity snake-based technique adapted to an unknown noise model, Optics Letters, vol.30, issue.17, pp.2239-2241, 2005.
DOI : 10.1364/OL.30.002239

C. Chesnaud, P. Réfrégier, and V. Boulet, Statistical region snake-based segmentation adapted to different physical noise models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.11, pp.1145-1157, 1999.
DOI : 10.1109/34.809108

URL : https://hal.archives-ouvertes.fr/hal-00079599

F. Galland, A. Jaegler, M. Allain, D. Savéry, and P. Réfrégier, Smooth contour coding with minimal description length active grid segmentation techniques, Pattern Recognition Letters, vol.32, issue.5, pp.721-730, 2011.
DOI : 10.1016/j.patrec.2010.12.007

URL : https://hal.archives-ouvertes.fr/hal-00649542

P. Martin, P. Refregier, F. Galland, and F. Guerault, Nonparametric statistical snake based on the minimum stochastic complexity, IEEE Transactions on Image Processing, vol.15, issue.9, pp.2762-2770, 2006.
DOI : 10.1109/TIP.2006.877317

URL : https://hal.archives-ouvertes.fr/hal-00015577

S. Liu, F. Galland, and N. Bertaux, Fast nonparametric active contour adapted to quadratic inhomogeneous intensity fluctuations, Pattern Recognition, vol.47, issue.11, pp.3681-3692, 2014.
DOI : 10.1016/j.patcog.2014.05.013

URL : https://hal.archives-ouvertes.fr/hal-01205980

A. Bénière, F. Goudail, M. Alouini, and D. Dolfi, Design and experimental validation of a snapshot polarization contrast imager, Applied Optics, vol.48, issue.30, pp.5764-5773, 2009.
DOI : 10.1364/AO.48.005764