The microsampling destructions caused by the sampling of analytical spectroscopic methods are generally not permitted to art objects. Consequently, the development of nondestructive analysis techniques is a necessity. In this work we present a set of signal processing and artificial intelligence techniques which support the operation of a novel device developed for the nondestructive identification of art objects. The proposed device combines ultraviolet, visible, near infrared, and midinfrared spectroscopy in diffuse reflectance mode to identify the materials that exist in each paint layer of an artwork.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1063/1.3497303 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!