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Classification of skin hyper-pigmentation lesions with multi-spectral images

Sylvain Prigent 1 Xavier Descombes 1 Didier Zugaj 2 Laurent Petit 2 Anne-Sophie Dugaret 2 Philippe Martel 2 Josiane Zerubia 3 
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : According to clinical protocols, skin diseases are quantified by dermatologists throughout a treatment period, and then a statistical test on these measures allows to evaluate a treatment efficacy. The first step of this process it to classify pathological interest areas. This task is challenging due to the high variability of the images in one clinical data set. In this report, we first review algorithms that exist in the literature and adapt them to our problem. Then we choose the more appropriate algorithm to design a classification strategy. Thereby, we propose to use data reduction combined with SVM to do a first classification of the disease. Then we associate the obtained classification map with a segmentation map in an "interactive classification tool" in order to compromise between operator dependency and algorithm robustness.
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Submitted on : Thursday, October 25, 2012 - 1:56:51 PM
Last modification on : Wednesday, October 26, 2022 - 8:16:40 AM
Long-term archiving on: : Saturday, January 26, 2013 - 3:50:15 AM


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  • HAL Id : hal-00745367, version 1


Sylvain Prigent, Xavier Descombes, Didier Zugaj, Laurent Petit, Anne-Sophie Dugaret, et al.. Classification of skin hyper-pigmentation lesions with multi-spectral images. [Research Report] RR-8105, INRIA. 2012. ⟨hal-00745367⟩



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