NDLI: Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

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Nondestructive Evaluation of Heritage Object Coatings with Four Hyperspectral Imaging Systems

Content Provider	MDPI
Author	Ma, ša Kavčič Ne, žka Sajinčič Sandak, Jakub Sandak, Anna Legan, Lea Retko, Klara Kosel, Janez Poohphajai, Faksawat Diaz, Rene Ponnuchamy, Veerapandian Gordobil, Oihana Tavzes, Črtomir Ropret, Polona
Copyright Year	2021
Description	Advanced imaging techniques can noninvasively characterise, monitor, and evaluate how conservation treatments affect cultural heritage objects. In this specific field, hyperspectral imaging allows nondestructive characterisation of materials by identifying and characterising colouring agents, binders, and protective coatings as components of an object’s original construction or later historic additions. Furthermore, hyperspectral imaging can be used to monitor deterioration or changes caused by environmental conditions. This paper examines the potential of hyperspectral imaging (HSI) for the evaluation of heritage objects. Four cameras operating in different spectral ranges were used to nondestructively scan a beehive panel painting that originated from the Slovene Ethnographic Museum collection. The specific objective of this research was to identify pigments and binders present in the samples and to spatially map the presence of these across the surface of the art piece. Merging the results with databases created in parallel using other reference methods allows for the identification of materials originally used by the artist on the panel. Later interventions to the original paintings can also be traced as part of past conservation campaigns.
Starting Page	244
e-ISSN	20796412
DOI	10.3390/coatings11020244
Journal	Coatings
Issue Number	2
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2021-02-18
Access Restriction	Open
Subject Keyword	Coatings Spectroscopy Hyperspectral Imaging Cultural Heritage Nondestructive Testing Surface Characterisation Painted Beehive Panels
Content Type	Text
Resource Type	Article

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