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Automatic identification of artistic pigments by Raman spectroscopy using fuzzy logic and principal component analysis

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10.1155/2006/18792
 
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Castanys, M.
Soneira Ferrando, M. JoséMés informacióMés informacióMés informació
Pérez Pueyo, RosannaMés informacióMés informacióMés informació
Document typeArticle
Defense date2006-10-27
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
Except where otherwise noted, content on this work is licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
This work offers an automatic identification system of Raman spectra of artistic pigments. The proposed methodology is based on a fuzzy logic system, and uses principal component analysis to reduce redundancies in data and the correlation operator as an index of similarity between two Raman spectra. Moreover, as sometimes pigments are used in mixtures by artist, the designed system is able to recognize binary mixtures of pigments on the basis of their Raman fingerprints.
CitationCastanys, M.; Soneira, M.J.; Pérez-Pueyo, R. Automatic identification of artistic pigments by Raman spectroscopy using fuzzy logic and principal component analysis. "Laser chemistry", 27 Octubre 2006, vol. 2006, p. 1-8. 
URIhttp://hdl.handle.net/2117/15656
DOI10.1155/2006/18792
ISSN0278-6273
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  • Departament de Teoria del Senyal i Comunicacions - Articles de revista [2.351]
  • GCO - Grup de Comunicacions Òptiques - Articles de revista [216]
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