Morphological Texture Description from Multispectral Skin Images in Cosmetology

Joris Corvo 1, 2 Jesus Angulo 1 Josselin Breugnot 2 Sylvie Bordes 2 Brigitte Closs 2
1 CMM - Centre de Morphologie Mathématique
2 SILAB
Abstract : In this paper, we propose methods to extract texture features from multispectral skin images. We first describe the acquisition protocol and corrections we applied on multispectral skin images. In the framework of a cosmetology application, a skin morphological texture evaluation is then proposed using either multivariate approach on multispectral dataset or marginal on a dataset whose dimensionality has been reduced by a multivariate analysis based on PCA.
Keywords : Multispectral imaging mathematical morphology texture analysis cosmetology
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Communication dans un congrès
13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, May 2017, Fontainebleau, France. Springer, Lecture Notes in Computer Science, vol 10225, pp.443 - 477, 2017, Angulo J., Velasco-Forero S., Meyer F. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2017. <10.1007/978-3-319-57240-6_38>
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Contributeur : Jesus Angulo <>
Soumis le : dimanche 11 juin 2017 - 11:51:16
Dernière modification le : jeudi 14 septembre 2017 - 01:06:43

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Joris Corvo, Jesus Angulo, Josselin Breugnot, Sylvie Bordes, Brigitte Closs. Morphological Texture Description from Multispectral Skin Images in Cosmetology. 13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, May 2017, Fontainebleau, France. Springer, Lecture Notes in Computer Science, vol 10225, pp.443 - 477, 2017, Angulo J., Velasco-Forero S., Meyer F. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2017. <10.1007/978-3-319-57240-6_38>. <hal-01536371>

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