SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATIONReport as inadecuate




SPECTRAL ANALYSIS AND UNSUPERVISED SVM CLASSIFICATION FOR SKIN HYPER-PIGMENTATION CLASSIFICATION - Download this document for free, or read online. Document in PDF available to download.

1 ARIANA - Inverse problems in earth monitoring CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes 2 GALDERMA R&D

Abstract : Data reduction procedures and classification via support vector machines SVMs are often associated with multi or hyperspectral image analysis. In this paper, we propose an automatic method with these two schemes in order to perform a classification of skin hyper-pigmentation on multi-spectral images. We propose a spectral analysis method to partition the spectrum as a tool for data reduction, implemented by projection pursuit. Once the data is reduced, an SVM is used to differentiate the pathological from the healthy areas. As SVM is a supervised classification method, we propose a spatial criterion for spectral analysis in order to perform automatic learning.





Author: Sylvain Prigent - Xavier Descombes - Didier Zugaj - Josiane Zerubia -

Source: https://hal.archives-ouvertes.fr/



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