R. Anderson, J. Hu, and J. Parrish, Optical radiation transfer in the human skin and applications in in vivo remittance spectroscopy, Bioengineering and the Skin, 1981.
DOI : 10.1007/978-94-009-7310-7_28

M. H. Rowe, Trichromatic color vision in primates, News in Physiological Sciences, vol.17, issue.3, pp.93-98, 2002.

K. S. Nehal, S. A. Oliveria, and A. A. Marghoob, Use of and beliefs about baseline photography in the management of patients with pigmented lesions: a survey of dermatology residency programmes in the United States, Melanoma Research, vol.12, issue.2, pp.161-167, 2002.
DOI : 10.1097/00008390-200204000-00009

S. Kingman, Growing awareness of skin disease starts lurry of initiatives, Bulletin of the World Health Organization, vol.3, issue.12, pp.891-892, 2005.

R. Pushkarna, S. K. Bhargava, M. C. Baruah, S. Mohanty, and . Pushkarna, EvaluationofskinlesionswithcolorDopplerand spectral analysis, Indian Journal of Radiology and Imaging, vol.10, issue.4, pp.233-236, 2000.

L. M. Mcintosh, R. Summers, and M. Jackson, Towards Non-Invasive Screening of Skin Lesions by Near-Infrared Spectroscopy, Journal of Investigative Dermatology, vol.116, issue.1, pp.175-181, 2001.
DOI : 10.1046/j.1523-1747.2001.00212.x

S. Oma-tis, M. Carrara, and A. Bonoetal, A utoma tedmelanoma detection with a novel multispectral imaging system: results of a prospective study, Physics in Medicine and Biology, vol.50, issue.8, pp.1675-1687, 2005.

I. J. B-i-g-i-oa-n-dj and . M-o-u-r-a-n-t, U l t r a v i o l e ta n dv i s i b l es p e c troscopies for tissue diagnostics: luorescence spectroscopy and elastic-scattering spectroscopy, Physics in Medicine and Biology, vol.42, issue.5, pp.803-814, 1997.

G. Zonios, J. Bykowski, and N. Kollias, Skin melanin, hemoglobin, and light scattering properties can be quantitatively assessed in vivo using difuse relectance spectroscopy, Journal of Investigative Dermatology, vol.16, issue.7, pp.1-4, 2001.

S. Prigent, X. Descombes, D. Zugaj, and J. Zerubia, Spectral analysis and unsupervised SVM classiication for skin hyperpigmentation classiication, Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS '10), 2010.
DOI : 10.1109/whispers.2010.5594917
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.403.2928

S. Prigent, X. Descombes, D. Zugaj, P. Martel, and J. Zerubia, Multi-spectral image analysis for skin pigmentation classiication , " in P r o c e e d i n g so ft h e1 7 t hI E E EI n t e r n a t i o n a lC o n f e r e n c e on Image Processing, pp.3641-3644, 2010.

N. Tsumura, N. Ojima, and K. Sato, Image-based skin color and texture analysis/synthesis by extracting hemoglobin and melanin information in the skin, ACM Transactions on Graphics, vol.22, issue.3, pp.770-779, 2003.
DOI : 10.1145/882262.882344

J. M. Kainerstorfer, J. D. Riley, and M. Ehler, Quantitative principal component model for skin chromophore mapping using multi-spectral images and spatial priors, Biomedical Optics Express, vol.2, issue.5, pp.1040-1058, 2011.
DOI : 10.1364/BOE.2.001040

I. V. Meglinskiands and . Matcher, Computer simulation of the skin reflectance spectra, Computer Methods and Programs in Biomedicine, vol.70, issue.2, pp.179-186, 2003.
DOI : 10.1016/S0169-2607(02)00099-8

T. Shi and C. A. Dimarzio, Multispectral method for skin imaging: development and validation, Applied Optics, vol.46, issue.36, pp.8619-8626, 2007.
DOI : 10.1364/AO.46.008619

T. Igarashi, K. Nishino, and S. K. Nayar, The Appearance of Human Skin: A Survey, Foundations and Trends?? in Computer Graphics and Vision, vol.3, issue.1, pp.1-95, 2007.
DOI : 10.1561/0600000013

A. Krishnaswamy and G. V. Baranoski, A Biophysically-Based Spectral Model of Light Interaction with Human Skin, Computer Graphics Forum, vol.19, issue.1, pp.331-340, 2004.
DOI : 10.1046/j.0022-202x.2001.01577.x

G. N. Ta-m-a-ta-s and B. , Zm u d z k a ,N .K o ll ia s ,a n dJ .Z .Bee r , " I n vivo measurement of skin erythema and pigmentation: new means of implementation of difuse relectance spectroscopy with a commercial instrument, British Journal of Dermatology, vol.159, issue.3, pp.683-690, 2008.

D. Yudovsky, M. S. Nouvong, and L. Pilon, Foot technology, part 2 of 2 hyperspectal imaging in diabethic foot wound care J o u r n a lo fD i a b e t e sS c i e n c ea n dT e c h n o l o g, pp.1099-1113, 2000.

M. Moncrief, S. Cotton, E. Claridge, and P. Hall, Spectrophotometric intracutaneous analysis: a new technique for imaging pigmented skin lesions, British Journal of Dermatology, vol.36, issue.3, pp.448-457, 2002.
DOI : 10.1001/archderm.131.3.286

R. Jolivot, P. Vabres, and F. Marzani, Reconstruction of hyperspectral cutaneous data from an artificial neural network-based multispectral imaging system, Computerized Medical Imaging and Graphics, vol.35, issue.2, pp.85-88, 2011.
DOI : 10.1016/j.compmedimag.2010.07.001
URL : https://hal.archives-ouvertes.fr/hal-00586919

J. Y. Hardeberg, Color management: principles and solutions, NORsignalets, vol.3, pp.6-12, 1999.

S. J. Preece and E. Claridge, Spectral filter optimization for the recovery of parameters which describe human skin, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.26, issue.7, pp.913-922, 2004.
DOI : 10.1109/TPAMI.2004.36

R. Jolivot, P. Vabres, and F. Marzani, Calibration of multispectral imaging system applied to dermatology, Proceedings of the E-MEDISYS

A. Mansouri, F. S. Marzani, and . Gouton, Neuralnetworksin two cascade algorithms for spectral relectance reconstruction, Proceedings of the IEEE International Conference on Image Processing (ICIP '05), pp.718-721, 2005.
DOI : 10.1109/icip.2005.1530156

R. Jolivot, H. Ugroho, P. , M. H. Ahmadfadzil, and . Marzani, Validation of a 2D multispectral camera: application to dermatology/cosmetology on a population covering five skin phototypes, Clinical and Biomedical Spectroscopy and Imaging II, 2011.
DOI : 10.1117/12.889607
URL : https://hal.archives-ouvertes.fr/hal-00614126

J. Hernández-andrés, J. L. Romero, and . Leejr, Colorimetric and spectroradiometric characteristics of narrow-ield-of-view clear skylight in Granada, Spain, JournaloftheOpticalSociety of America A, vol.18, issue.2, pp.412-420, 2001.

A. Vogel, V. V. Chernomordik, and J. D. Riley, Using noninvasive multispectral imaging to quantitatively assess tissue vasculature, Journal of Biomedical Optics, vol.12, issue.5, 2007.
DOI : 10.1117/1.2801718

A. D. Kim and M. Moscoso, Light transport in two-layer tissues, Journal of Biomedical Optics, vol.10, issue.3, 2005.
DOI : 10.1117/1.1925227

L. O. Svaasand, L. T. Norvang, E. J. Fiskerstrand, E. K. Stopps, M. W. Berns et al., Tissue parameters determining the visual appearance of normal skin and port-wine stains, Lasers In Medical Science, vol.11, issue.4, pp.55-65, 1995.
DOI : 10.1007/BF02133165

L. F. Douven and G. W. Lucassen, Retrieval of optical properties of skin from measurement and modeling the difuse reectance, Laser-Tissue Interaction, vol.3914, issue.1, pp.312-323, 2000.

I. V. Meglinski and S. J. Matcher, Quantitative assessment of skin layers absorption and skin relectance spectra simulation in the visible and near-infrared spectral regions Skin color modeling using the radiative transfer equation solved by the auxiliary function method: inverse problem, Physiological Measurement Journal of the Optical Society of America A, vol.2325, issue.47, pp.741-7531737, 2002.

L. T. Norvang, T. E. Milner, J. S. Nelson, M. W. Berns, and L. O. Svaasand, Skin pigmentation characterized by visible reflectance measurements, Lasers in Medical Science, vol.11, issue.2, pp.99-112, 1997.
DOI : 10.1007/BF02763978

S. L. Jacques and D. J. Mcaulife, THE MELANOSOME: THRESHOLD TEMPERATURE FOR EXPLOSIVE VAPORIZATION AND INTERNAL ABSORPTION COEFFICIENT DURING PULSED LASER IRRADIATION, Photochemistry and Photobiology, vol.90, issue.Suppl., pp.769-775, 1991.
DOI : 10.1111/j.1751-1097.1991.tb09891.x

M. Doi and S. Tominaga, Spectral estimation of human skin color using the Kubelka-Munk theory, Color Imaging VIII: Processing, Hardcopy, and Applications, pp.221-228, 2003.

I. V. Meglinsky and S. J. Matcher, Modelling the sampling volume for skin blood oxygenation measurements, Medical & Biological Engineering & Computing, vol.42, issue.1, pp.44-50, 2001.
DOI : 10.1007/BF02345265

R. Hernández-barrera, B. Torres-alvarez, J. P. Castanedo-cazares, C. Oros-ovalle, and B. Moncada, Solar elastosis and presence of mast cells as key features in the pathogenesis of melasma, Clinical and Experimental Dermatology, vol.330, issue.3, pp.305-308, 2008.
DOI : 10.1111/j.1365-2133.2005.06966.x

P. Kubelka and F. Munk, Ein beitrag zur optik der farbanstriche, p.543, 1931.

S. Cotton, A noninvasive skin imaging system, 1997.

S. L. Jacques, Skin Optics, Oregon Medical Laser Center News, 1998.

R. R. Anderson and J. A. Parrish, The Optics of Human Skin, Journal of Investigative Dermatology, vol.77, issue.1, pp.13-19, 1981.
DOI : 10.1111/1523-1747.ep12479191

M. Shimada, Y. Yamada, M. Itoh, and T. Yatagai, Melanin and blood concentration in a human skin model studied by multiple regression analysis: assessment by Monte Carlo simulation, Physics in Medicine and Biology, vol.46, issue.9, pp.2397-2399, 2001.
DOI : 10.1088/0031-9155/46/9/309

J. H. Holland, Adaptation in Natural and Artiicial Systems, 1975.

R. Zhang, W. Verkruysse, and B. Choi, Determination of human skin optical properties from spectrophotometric measurements based on optimization by genetic algorithms, Journal of Biomedical Optics, vol.10, issue.2, 2005.
DOI : 10.1117/1.1891147

S. H. Choi, Fast and robust extraction of optical and morphological properties of human skin using a hybrid stochastic???deterministic algorithm: Monte-Carlo simulation study, Lasers in Medical Science, vol.20, issue.12, pp.733-741, 2010.
DOI : 10.1007/s10103-010-0793-x

R. Anderson and J. Parrish, Optical Properties of Human Skin,P l e n u mP r e s s, Science of Photomedicine, Chapter, 1982.

K. Robertson and J. L. Rees, Variation in epidermal morphology in human skin at diferent body sites as measured by relectance confocal microscopy, Acta Dermato-Venereologica, vol.90, issue.4, pp.368-373, 2010.

S. Tseng, C. Hsu, J. Yu-yun, and . Lee, Noninvasive evaluation of collagen and hemoglobin contents and scattering, International Journal of Biomedical Imaging, vol.15

K. J. Zuzak, M. D. Schaeberle, E. N. Lewis, and I. W. Levin, Visible relectance hyperspectral imaging: characterization of a noninvasive, in vivo system for determining tissue perfusion, Analytical Chemistrywww.hindawi.com Control Science and Engineering Journal, vol.74, pp.2021-2028, 2002.