https://doi.org/10.1140/epjp/s13360-024-05009-1
Regular Article
Application of hyperspectral imaging for characterization of VOC-induced historical glass corrosion
1
Collection Centre, Swiss National Museum, Lindenmoosstrasse 1, 8910, Affoltern am Albis, Zurich, Switzerland
2
Department of Computer Science, Norwegian University of Science and Technology, Teknologivegen, 2815, Gjøvik, Innlandet, Norway
3
Laboratory of Technologies for Heritage Materials, University of Neuchâtel, Av. de Bellevaux 51, 2000, Neuchâtel, Switzerland
4
Haute Ecole Arc Conservation Restauration, University of Applied Sciences and Arts Western Switzerland HES-SO, Espace de l’Europe 11, 2000, Neuchâtel, Switzerland
Received:
6
November
2022
Accepted:
15
February
2024
Published online:
13
March
2024
Hyperspectral imaging (HSI) provides high-resolution recording of the spectral information at every spatial point (pixel) of an object throughout a contiguous range of wavelengths. This paper reports an attempt at exploring the application of HSI in transmittance mode for the identification and quantification of corrosion in transparent historical glass, which is difficult to identify by visual inspection. This was done using model glass samples mimicking historical composition and subjected to artificial ageing in the presence of volatile organic compounds. Hyperspectral images of unaged and aged glass samples were recorded with two cameras covering visible and near infrared (VNIR, 400–1000 nm) and short-wave infrared range (SWIR, 1000–2500 nm) using a custom-made HSI set-up in transmission mode. The HSI data were further processed to classify and visualize corrosion in different ageing environments and ageing periods. The results show that HSI can be employed as a valuable tool to assess glass corrosion at early stages, especially by analysing the SWIR spectral region—which shows the water absorption by the glass matrix due to corrosion.
Supplementary Information The online version contains supplementary material available at https://doi.org/10.1140/epjp/s13360-024-05009-1.
© The Author(s) 2024
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