Automatic Recognition of Color Pigments from Raman Spectrum Analysis

Auteurs-es

  • Giovanni Maria Farinella Università di Catania
  • Giovanni Gallo Università di Catania
  • Anna Maria Gueli Università di Catania
  • Filippo Stanco Università di Catania

DOI :

https://doi.org/10.1685/

Mots-clés :

Cultural Heritage, Raman Spectra, Pigments, Conservation and Restoration.

Résumé

In this paper, an algorithm to automatically recognize pigments from Raman spectrum analysis is presented. The Raman spectroscopy is a technique to confirm the presence of specific pigments in a painting. Machine learning techniques are applied over an existing database of Raman spectra in order to find a set of characteristic features. These information are necessary to automatically recognize unknown pigments by using ad-hoc similarity measure. [DOI: 10.1685/CSC09211] About DOI

Biographies de l'auteur-e

  • Giovanni Maria Farinella, Università di Catania
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania
  • Giovanni Gallo, Università di Catania
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania
  • Anna Maria Gueli, Università di Catania
    LDL&BBCC, Dipartimento di Fisica e Astronomia, Via Santa Sofia
  • Filippo Stanco, Università di Catania
    Dipartimento di Matematica e Informatica viale A. Doria 6, Catania

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Publié

2009-08-12

Numéro

Vol. 3 (2009)

Rubrique

Articles

Licence

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