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Skin lesion evaluation from multispectral images

Sylvain Prigent 1, 2 Xavier Descombes 1 Didier Zugaj 3 Laurent Petit 3 Anne-Sophie Dugaret 3 Philippe Martel 3 Josiane Zerubia 2 
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : During evaluation of skin disease treatments, dermatologists have to clinically measure the pathology severity of each patient during treatment periods. Such a process is sensitive to intra- and inter- dermatologist diagnosis. To make this severity measurement more robust we propose to use image processing to quantify the pathology severity. We focus on a hyperpigmentation disorder called melasma. During a treatment period, multispectral images are taken on patients receiving the same treatment. After co-registration and classification steps, we propose algorithms to measure the intensity, the size and the homogeneity evolution of the pathological area. Obtained results are compared with a dermatologist diagnosis using statistical tests on a full clinical study.
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Submitted on : Monday, November 26, 2012 - 9:33:06 AM
Last modification on : Wednesday, October 26, 2022 - 8:16:11 AM
Long-term archiving on: : Wednesday, February 27, 2013 - 3:42:24 AM


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  • HAL Id : hal-00757039, version 1



Sylvain Prigent, Xavier Descombes, Didier Zugaj, Laurent Petit, Anne-Sophie Dugaret, et al.. Skin lesion evaluation from multispectral images. [Research Report] RR-8136, INRIA. 2012, pp.23. ⟨hal-00757039⟩



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