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古代壁畫病害標識系統及其在敦煌莫高窟的應用=The Deterioration Identification System of Ancient Murals and Its Application in the Dunhuang Mogao Grottoes |
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| Author |
張楠 (著)=Zhang, Nan (au.)
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馮偉 (著)=Feng, Wei (au.)
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| Source |
敦煌研究=Dunhuang Research
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| Volume | n.2 (總號=n.162) |
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| Date | 2017 |
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| Pages | 135 - 140 |
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| Publisher | 敦煌研究編輯部 |
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| Publisher Url |
http://www.dha.ac.cn/
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| Location | 蘭州, 中國 [Lanzhou, China] |
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| Content type | 期刊論文=Journal Article |
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| Language | 中文=Chinese |
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| Note | 作者單位：天津大學計算機科學與技術學院；敦煌研究院；國家古代壁畫與土遺址保護工程技術研究中心； |
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| Keyword | 古代壁畫=ancient mural; 病害標識=identification of mural deterioration; 敦煌莫高窟=Dunhuang Mogao Grottoes |
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| Abstract | 由於年代久遠、保存環境簡陋、材質脆弱,再加上洪水、沙塵等自然災害和人為的破壞,現存古代壁畫產生了不同程度不同種類的病害。要對這些壁畫進行預防性保護或對病害進行修復,需要根據病害的類型採取不同的措施。其中一項重要的過程是在所獲取的圖像上對病害的類型、程度和區域進行精準的標識,為修復或監測分析工作奠定基礎。敦煌莫高窟等遺址保存壁畫的規模巨大,而目前壁畫病害的標識一般使用通用工具如Auto CAD等,這類工具存在著專業針對性差,學習週期長,操作繁瑣等問題,很難滿足病害標識工作的需要。通過對古代壁畫病害標識工作的調研,本文設計了一種專業針對性強,學習週期短,操作簡捷,功能全面的古代壁畫病害標識系統。通過在敦煌莫高窟的實際應用,證明本系統可以減輕病害標識工作的繁重程度,極大地提高病害標識工作的效率。
Murals are one of the most precious sources of cultural heritage of our countryand are of great historical and artistic value. However, due to the destruction caused by poor environmental preservation and fragile materials coupled with floods, dust, and human activities, extant ancient murals exhibit numerous kinds of deterioration. The preventive monitoring of murals and restoration of damaged relics require different measurement techniques according to the type of deterioration. One of the most important tasks faced right now is to precisely determine and catalogue the types, degrees, and size of the deterioration suffered by mural paintings, of which the Dunhuang Mogao Grottoes and other sites have preserved in large number. By studying the deterioration labeling process, a fully functional labeling system has been designed for ancient murals that is professional, easy to learn, and requires much simpler procedures for operation. The use of this new technique in the Mogao caves proves that this system can reduce the arduousness of deterioration labeling work while greatly improving efficiency |
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| ISSN | 10004106 (P) |
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| Hits | 350 |
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| Created date | 2020.10.14 |
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| Modified date | 2020.10.30 |
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