Evaluation of Cleaning Processes Using Colorimetric and Spectral Data for the Removal of Layers of Limewash from Medieval Plasterwork
Metadatos
Afficher la notice complèteAuteur
Martínez Domingo, Miguel Ángel; Calero Castillo, Ana Isabel; Vivar García, Eva; Valero Benito, Eva MaríaEditorial
MDPI
Materia
Spectral imaging Plasterwork Restoration Cleaning procedures Lime layer
Date
2020Referencia bibliográfica
Martínez-Domingo, M.Á.; Calero Castillo, A.I.; Vivar García, E.; Valero, E.M. Evaluation of Cleaning Processes Using Colorimetric and Spectral Data for the Removal of Layers of Limewash from Medieval Plasterwork. Sensors 2020, 20, 7147. https://doi.org/10.3390/s20247147
Patrocinador
Ministry of Economy and Competitiveness HAR2015-66139-P; European Union (EU) HAR2015-66139-PRésumé
In the cultural heritage preservation of medieval buildings, it is common to find plaster
walls covered in lime, which previously were painted in polychromy. The conservation interventions
usually try to remove the whitewash, whilst maintaining the original color of the painted wall as
much as possible. However, there is no agreement on which cleaning technique best preserves the
original appearance of the colored plaster. Different pigments found below the lime layer may
behave differently depending on the cleaning technique used. Usually, colorimetric or photometric
area-based measurements are carried out to study the color of the cleaned areas to compare with their
original color, obtained from pre-made plaster probes. However, this methodology fails when the
mean color difference is not enough to fully characterize the changes in texture and color appearance.
This study presents a set of experiments carried out using two different pigments (cinnabar and
malachite) covered with lime, and treated with nine different cleaning techniques on plaster probes
prepared according to medieval techniques. We have studied the effect of the cleaning process on the
color and the homogeneity of the samples using a hyperspectral imaging workflow. Four different
analysis methods are presented and discussed. Our results show that the proposed analysis is able to
provide a much more comprehensive and diversified characterization of the quality of the cleaning
method compared to the commonly used colorimetric or photometric area-based measurements.