دورية أكاديمية
Analytical and mathematical methods for revealing hidden details in ancient manuscripts and paintings: A review
العنوان: | Analytical and mathematical methods for revealing hidden details in ancient manuscripts and paintings: A review |
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المؤلفون: | Anna Tonazzini, Emanuele Salerno, Zienab A. Abdel-Salam, Mohamed Abdel Harith, Luciano Marras, Asia Botto, Beatrice Campanella, Stefano Legnaioli, Stefano Pagnotta, Francesco Poggialini, Vincenzo Palleschi |
المصدر: | Journal of Advanced Research, Vol 17, Iss , Pp 31-42 (2019) |
بيانات النشر: | Elsevier, 2019. |
سنة النشر: | 2019 |
المجموعة: | LCC:Medicine (General) LCC:Science (General) |
مصطلحات موضوعية: | Medicine (General), R5-920, Science (General), Q1-390 |
الوصف: | In this work, a critical review of the current nondestructive probing and image analysis approaches is presented, to revealing otherwise invisible or hardly discernible details in manuscripts and paintings relevant to cultural heritage and archaeology. Multispectral imaging, X-ray fluorescence, Laser-Induced Breakdown Spectroscopy, Raman spectroscopy and Thermography are considered, as techniques for acquiring images and spectral image sets; statistical methods for the analysis of these images are then discussed, including blind separation and false colour techniques. Several case studies are presented, with particular attention dedicated to the approaches that appear most promising for future applications. Some of the techniques described herein are likely to replace, in the near future, classical digital photography in the study of ancient manuscripts and paintings. Keywords: Image analysis, Cultural heritage, Archaeology, Multispectral imaging, Ancient manuscripts, Blind separation techniques |
نوع الوثيقة: | article |
وصف الملف: | electronic resource |
اللغة: | English |
تدمد: | 2090-1232 |
Relation: | http://www.sciencedirect.com/science/article/pii/S2090123219300037; https://doaj.org/toc/2090-1232 |
DOI: | 10.1016/j.jare.2019.01.003 |
URL الوصول: | https://doaj.org/article/80ae2ea5432f4303806a97f9eb36e1de |
رقم الأكسشن: | edsdoj.80ae2ea5432f4303806a97f9eb36e1de |
قاعدة البيانات: | Directory of Open Access Journals |
تدمد: | 20901232 |
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DOI: | 10.1016/j.jare.2019.01.003 |