A missing color area extraction approach from high-resolution statue images for cultural heritage documentation

Abstract Ancient statues are usually fragile and have a tendency to deteriorate over time, developing cracks, corrosion, and losing color. Before any intervention on the object of art, a conservator must map degradation and take measurements. Deterioration mapping is an extremely long process, as th...

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Autores principales: Adel Nasri, XianFeng Huang
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/48ee7772933e4eb0877e6d476b2257ce
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spelling oai:doaj.org-article:48ee7772933e4eb0877e6d476b2257ce2021-12-02T13:58:14ZA missing color area extraction approach from high-resolution statue images for cultural heritage documentation10.1038/s41598-020-78254-w2045-2322https://doaj.org/article/48ee7772933e4eb0877e6d476b2257ce2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-78254-whttps://doaj.org/toc/2045-2322Abstract Ancient statues are usually fragile and have a tendency to deteriorate over time, developing cracks, corrosion, and losing color. Before any intervention on the object of art, a conservator must map degradation and take measurements. Deterioration mapping is an extremely long process, as the conservator or restorer must locate and digitize the damages manually and collect physical measurements from the artwork. Extracting and measuring the deterioration automatically from images is less expensive and aids the digital documentation process, thus reducing the time cost of manual deterioration mapping. In this paper, we propose an effective approach named Missing Color Area Extraction in order to extract and measure missing color areas from high-resolution imagery statues, using a thresholding technique. The conversion from RGB color space to HSV color space is applied, in addition to morphological operations to remove the dust and small objects.Adel NasriXianFeng HuangNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Adel Nasri
XianFeng Huang
A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
description Abstract Ancient statues are usually fragile and have a tendency to deteriorate over time, developing cracks, corrosion, and losing color. Before any intervention on the object of art, a conservator must map degradation and take measurements. Deterioration mapping is an extremely long process, as the conservator or restorer must locate and digitize the damages manually and collect physical measurements from the artwork. Extracting and measuring the deterioration automatically from images is less expensive and aids the digital documentation process, thus reducing the time cost of manual deterioration mapping. In this paper, we propose an effective approach named Missing Color Area Extraction in order to extract and measure missing color areas from high-resolution imagery statues, using a thresholding technique. The conversion from RGB color space to HSV color space is applied, in addition to morphological operations to remove the dust and small objects.
format article
author Adel Nasri
XianFeng Huang
author_facet Adel Nasri
XianFeng Huang
author_sort Adel Nasri
title A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
title_short A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
title_full A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
title_fullStr A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
title_full_unstemmed A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
title_sort missing color area extraction approach from high-resolution statue images for cultural heritage documentation
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/48ee7772933e4eb0877e6d476b2257ce
work_keys_str_mv AT adelnasri amissingcolorareaextractionapproachfromhighresolutionstatueimagesforculturalheritagedocumentation
AT xianfenghuang amissingcolorareaextractionapproachfromhighresolutionstatueimagesforculturalheritagedocumentation
AT adelnasri missingcolorareaextractionapproachfromhighresolutionstatueimagesforculturalheritagedocumentation
AT xianfenghuang missingcolorareaextractionapproachfromhighresolutionstatueimagesforculturalheritagedocumentation
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