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A missing color area extraction approach from high-resolution statue images for cultural heritage documentation
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 conserv...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736864/ https://www.ncbi.nlm.nih.gov/pubmed/33318500 http://dx.doi.org/10.1038/s41598-020-78254-w |
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author | Nasri, Adel Huang, XianFeng |
author_facet | Nasri, Adel Huang, XianFeng |
author_sort | Nasri, Adel |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-7736864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77368642020-12-15 A missing color area extraction approach from high-resolution statue images for cultural heritage documentation Nasri, Adel Huang, XianFeng Sci Rep Article 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. Nature Publishing Group UK 2020-12-14 /pmc/articles/PMC7736864/ /pubmed/33318500 http://dx.doi.org/10.1038/s41598-020-78254-w Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Nasri, Adel Huang, XianFeng A missing color area extraction approach from high-resolution statue images for cultural heritage documentation |
title | 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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7736864/ https://www.ncbi.nlm.nih.gov/pubmed/33318500 http://dx.doi.org/10.1038/s41598-020-78254-w |
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