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Morphological Texture Description from Multispectral Skin Images in Cosmetology

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Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10225))

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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.

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Author information

Authors and Affiliations

  1. SILAB, BP 213, 19108, Brive Cedex, France

    Joris Corvo, Josselin Breugnot, Sylvie Bordes & Brigitte Closs

  2. Center for Mathematical Morphology, Mines-ParisTech, PSL Research University, 77300, Fontainebleau, France

    Jesus Angulo

Authors
  1. Joris Corvo
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  2. Jesus Angulo
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  3. Josselin Breugnot
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  4. Sylvie Bordes
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  5. Brigitte Closs
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Corresponding author

Correspondence to Joris Corvo .

Editor information

Editors and Affiliations

  1. MINES ParisTech, PSL-Research University, Fontainebleau, France

    Jesús Angulo

  2. MINES ParisTech, PSL-Research University , Fontainebleau, France

    Santiago Velasco-Forero

  3. MINES ParisTech, PSL-Research University, Fontainebleau, France

    Fernand Meyer

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Corvo, J., Angulo, J., Breugnot, J., Bordes, S., Closs, B. (2017). Morphological Texture Description from Multispectral Skin Images in Cosmetology. In: Angulo, J., Velasco-Forero, S., Meyer, F. (eds) Mathematical Morphology and Its Applications to Signal and Image Processing. ISMM 2017. Lecture Notes in Computer Science(), vol 10225. Springer, Cham. https://doi.org/10.1007/978-3-319-57240-6_38

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  • DOI: https://doi.org/10.1007/978-3-319-57240-6_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-57239-0

  • Online ISBN: 978-3-319-57240-6

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