Multispectral imaging is used to identify and semi-quantify the distribution of pigments in wall paintings based on mineral-specific band ratios. The western wall in the frigidarium of the Sarno baths in Pompeii was imaged using VIS-IR band-pass filters, stacked as multispectral data, and different pigments were measured using portable X-ray fluorescence (pXRF) and fiber optic reflected spectroscopy (FORS) to determine their chemical composition and spectral signature. Cuprorivaite and hematite were found to be the main minerals in blue and red pigments, with higher amounts of copper and iron respectively. Proportional relations were found between cuprorivaite specific band ratios from multispectral and FORS data and the intensity of copper in pXRF spectra, allowing to map the mineral content on a large scale and determine their relative concentrations. These results were confirmed by X-ray powder diffraction (XRD) and thin section analysis on painted fragments that were detached from the wall paintings and found below. This contribute indicates that on-site portable instrumentation could identify specific pigments and determine their 2D distributions based on non-invasive diagnostics of chemical composition and spectral reflectance in wall paintings.
Combining multispectral images with X-ray fluorescence to quantify the distribution of pigments in the frigidarium of the Sarno Baths, Pompeii
Angelini I.;Secco M.;Parisatto M.;Chaban A.;Deiana R.;Artioli G.
2019
Abstract
Multispectral imaging is used to identify and semi-quantify the distribution of pigments in wall paintings based on mineral-specific band ratios. The western wall in the frigidarium of the Sarno baths in Pompeii was imaged using VIS-IR band-pass filters, stacked as multispectral data, and different pigments were measured using portable X-ray fluorescence (pXRF) and fiber optic reflected spectroscopy (FORS) to determine their chemical composition and spectral signature. Cuprorivaite and hematite were found to be the main minerals in blue and red pigments, with higher amounts of copper and iron respectively. Proportional relations were found between cuprorivaite specific band ratios from multispectral and FORS data and the intensity of copper in pXRF spectra, allowing to map the mineral content on a large scale and determine their relative concentrations. These results were confirmed by X-ray powder diffraction (XRD) and thin section analysis on painted fragments that were detached from the wall paintings and found below. This contribute indicates that on-site portable instrumentation could identify specific pigments and determine their 2D distributions based on non-invasive diagnostics of chemical composition and spectral reflectance in wall paintings.
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