Published September 27, 2010 | Version v1
Conference paper

MULTI-SPECTRAL IMAGE ANALYSIS FOR SKIN PIGMENTATION CLASSIFICATION

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Description

In this paper, we compare two different approaches for semi- automatic detection of skin hyper-pigmentation on multi- spectral images. These two methods are support vector machine (SVM) and blind source separation. To apply SVM, a dimension reduction method adapted to data classification is proposed. It allows to improve the quality of SVM classification as well as to have reasonable computation time. For the blind source separation approach we show that, using independent component analysis, it is possible to extract a relevant cartography of skin pigmentation.

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URL
https://hal.inria.fr/inria-00499492
URN
urn:oai:HAL:inria-00499492v1