Morphological Texture Description from Multispectral Skin Images in Cosmetology
| Autor: | Jesús Angulo, Joris Corvo, Sylvie Bordes, B. Closs, Josselin Breugnot |
|---|---|
| Přispěvatelé: | Centre de Morphologie Mathématique (CMM), MINES ParisTech - École nationale supérieure des mines de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), SILAB |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Multivariate statistics
Computer science Multispectral image 0211 other engineering and technologies ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Mathematical morphology 01 natural sciences Texture (geology) 010309 optics Multispectral imaging cosmetology 0103 physical sciences Computer vision mathematical morphology texture analysis 021101 geological & geomatics engineering ComputingMethodologies_COMPUTERGRAPHICS business.industry Pattern recognition Acquisition Protocol ComputingMethodologies_PATTERNRECOGNITION [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV] Cosmetology Artificial intelligence business |
| Zdroj: | 13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing 13th International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, May 2017, Fontainebleau, France. pp.443-477, ⟨10.1007/978-3-319-57240-6_38⟩ Lecture Notes in Computer Science ISBN: 9783319572390 ISMM |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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