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Optimized Method for Mapping Inorganic Pigments by Means of Multispectral Imaging Combined with Hyperspectral Spectroscopy for the Study of Vincenzo Pasqualoni’s Wall Painting at the Basilica of S. Nicola in Carcere in Rome
- Source :
- Minerals, Vol 11, Iss 839, p 839 (2021), Minerals, Volume 11, Issue 8
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Multispectral imaging is a preliminary screening technique for the study of paintings. Although it permits the identification of several mineral pigments by their spectral behavior, it is considered less performing concerning hyperspectral imaging, since a limited number of wavelengths are selected. In this work, we propose an optimized method to map the distribution of the mineral pigments used by Vincenzo Pasqualoni for his wall painting placed at the Basilica of S. Nicola in Carcere in Rome, combining UV/VIS/NIR reflectance spectroscopy and multispectral imaging. The first method (UV/VIS/NIR reflectance spectroscopy) allowed us to characterize pigment layers with a high spectral resolution<br />the second method (UV/VIS/NIR multispectral imaging) permitted the evaluation of the pigment distribution by utilizing a restricted number of wavelengths. Combining the results obtained from both devices was possible to obtain a distribution map of a pictorial layer with a high accuracy level of pigment recognition. The method involved the joint use of point-by-point hyperspectral spectroscopy and Principal Component Analysis (PCA) to identify the pigments in the color palette and evaluate the possibility to discriminate all the pigments recognized, using a minor number of wavelengths acquired through the multispectral imaging system. Finally, the distribution and the spectral difference of the different pigments recognized in the multispectral images, (in this case: red ochre, yellow ochre, orpiment, cobalt blue-based pigments, ultramarine and chrome green) were shown through PCA false-color images.
- Subjects :
- hyperspectral spectroscopy
multispectral imaging
PCA
pigments
wall painting
Materials science
Multispectral image
02 engineering and technology
01 natural sciences
Cobalt blue
Spectral resolution
Spectroscopy
Remote sensing
Painting
010401 analytical chemistry
Palette (computing)
Hyperspectral imaging
Geology
Mineralogy
021001 nanoscience & nanotechnology
Geotechnical Engineering and Engineering Geology
0104 chemical sciences
Principal component analysis
0210 nano-technology
QE351-399.2
Subjects
Details
- ISSN :
- 2075163X
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Minerals
- Accession number :
- edsair.doi.dedup.....ee9b461e3aa1eb187588611c660b1adc
- Full Text :
- https://doi.org/10.3390/min11080839