Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation
Monitoring environmental factors such as pollutants, relative humidity, light, etc. is needed to ensure a proper preventive conservation of cultural heritage. Since existing systems are expensive and difficult to maintain, we propose as a sustainable alternative the use crowdsourced photographs take...
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MDPI AG
2021-10-01
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Series: | Applied Sciences |
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Online Access: | https://www.mdpi.com/2076-3417/11/21/10067 |
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author | Miguel Antonio Barbero-Álvarez José Manuel Menéndez Juan Antonio Rodrigo Blanca Ramírez-Barat Emilio Cano |
author_facet | Miguel Antonio Barbero-Álvarez José Manuel Menéndez Juan Antonio Rodrigo Blanca Ramírez-Barat Emilio Cano |
author_sort | Miguel Antonio Barbero-Álvarez |
collection | DOAJ |
description | Monitoring environmental factors such as pollutants, relative humidity, light, etc. is needed to ensure a proper preventive conservation of cultural heritage. Since existing systems are expensive and difficult to maintain, we propose as a sustainable alternative the use crowdsourced photographs taken by visitors using their cell phones. These images of a tailor made panel, including sensitive materials and a calibration color chart, are calibrated and colorimetric information extracted from them. The aim of this paper is assessing the robustness of the color chart and the calibration method used, and evaluating how the ageing of the materials of the chart can affect the accuracy of the calibration process. A choice is made between four candidate materials and a set of industrial inks. Several tests have been performed and mathematical metrics extracted, so the most suitable material is adequately selected. It has been checked how the image calibration process, employed for homogenizing information from the crowdsourced pictures, performs with real-life materials and colors to assess the possible degradation that may happen. This work is a part of a bigger project with the aim of building a crowdsourcing-based monitoring system for preventive conservation of cultural heritage. |
first_indexed | 2024-03-10T06:06:19Z |
format | Article |
id | doaj.art-3480b5a8a4b04c1ba1b43b8f723275f3 |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-10T06:06:19Z |
publishDate | 2021-10-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
spelling | doaj.art-3480b5a8a4b04c1ba1b43b8f723275f32023-11-22T20:27:14ZengMDPI AGApplied Sciences2076-34172021-10-0111211006710.3390/app112110067Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive ConservationMiguel Antonio Barbero-Álvarez0José Manuel Menéndez1Juan Antonio Rodrigo2Blanca Ramírez-Barat3Emilio Cano4GATV-SSR, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, SpainGATV-SSR, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, SpainGATV-SSR, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040 Madrid, SpainCENIM-CSIC, Centro Nacional de Investigaciones Metalúrgicas, Consejo Superior de Investigaciones Científicas, 28040 Madrid, SpainCENIM-CSIC, Centro Nacional de Investigaciones Metalúrgicas, Consejo Superior de Investigaciones Científicas, 28040 Madrid, SpainMonitoring environmental factors such as pollutants, relative humidity, light, etc. is needed to ensure a proper preventive conservation of cultural heritage. Since existing systems are expensive and difficult to maintain, we propose as a sustainable alternative the use crowdsourced photographs taken by visitors using their cell phones. These images of a tailor made panel, including sensitive materials and a calibration color chart, are calibrated and colorimetric information extracted from them. The aim of this paper is assessing the robustness of the color chart and the calibration method used, and evaluating how the ageing of the materials of the chart can affect the accuracy of the calibration process. A choice is made between four candidate materials and a set of industrial inks. Several tests have been performed and mathematical metrics extracted, so the most suitable material is adequately selected. It has been checked how the image calibration process, employed for homogenizing information from the crowdsourced pictures, performs with real-life materials and colors to assess the possible degradation that may happen. This work is a part of a bigger project with the aim of building a crowdsourcing-based monitoring system for preventive conservation of cultural heritage.https://www.mdpi.com/2076-3417/11/21/10067colorimetryenvironmental monitoringpreventive conservation |
spellingShingle | Miguel Antonio Barbero-Álvarez José Manuel Menéndez Juan Antonio Rodrigo Blanca Ramírez-Barat Emilio Cano Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation Applied Sciences colorimetry environmental monitoring preventive conservation |
title | Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation |
title_full | Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation |
title_fullStr | Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation |
title_full_unstemmed | Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation |
title_short | Assessment of the Robustness of a Color Monitoring Chart Calibration Method for Crowdsourcing-Based Preventive Conservation |
title_sort | assessment of the robustness of a color monitoring chart calibration method for crowdsourcing based preventive conservation |
topic | colorimetry environmental monitoring preventive conservation |
url | https://www.mdpi.com/2076-3417/11/21/10067 |
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