基于图像分析的古代壁画病害演变监测技术的研究

项目名称： 基于图像分析的古代壁画病害演变监测技术的研究

项目编号： No.61272266

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 自动化技术、计算机技术

项目作者： 孙济洲

作者单位： 天津大学

项目金额： 80万元

中文摘要： 祖先为我们留下了一批弥足珍贵的文化遗产-古代壁画，它们无论是保存在洞窟、墓穴中还是在古寺庙中，由于历史源长、绘制材料的脆弱性，再加上环境条件和人为的影响，均面临着如何减缓其衰败、实施有效监管和保护的难题。该申请项目针对当前各文化遗产地虽环境监测手段丰富，但直接监测壁画本身的病害演变的无损非接触的手段尚属空白的问题开展研究。力图在对古壁画不同类型病害和不同演变时期的表观形貌图像特征进行分析的基础上，在超越人眼识别局限的相对微观层面上探索基于图像比对和差异分析的古壁画病害演变的监测技术和病害演变程度的定量分析方法与标准。为了保障监测和度量的可靠、准确，研究基于图像特征提取、分割、比对的图像精准获取与自反馈重定位的支撑技术；为能实现对病害区域、 整幅壁画、壁画群的病害演变的情况给出监测与评估的结果，对于大面积病害区域的病害演变的宏观层面上的综合分析的技术的研究也将包括在该项目的工作中。

中文关键词： 古代壁画；图像分析；监测技术；文化遗产；

英文摘要： A lot of ancient frescoes, the most precious culture heritage have been leaved behind for us. Whether they are in the caves, graves or in the ancient temples, they are all facing the serious problem how to postpone their life and how to monitor and protect them, due to the long history, frangibility of painting material and the impacts from the environment and human actions. To the question of lack of the methods of monitoring directly fresco disease evolvement without any touch and damage, though the methods for monitoring the environment have been affluent in culture heritage places, this applying project will implement the following researches. Based on the analysis of the exhibited image characters of different fresco diseases in different periods, try to explore the monitoring techniques of ancient fresco disease evolvement and the quantificational analysis methods of disease evolvement degree by comparing images and analyzing difference in microgram. Based on the image character extraction, segmentation and compare, research for the support techniques of precise image sampling and camera re-location, in order to insure the credible monitoring and accurate measurement. The research for the integrated analysis technology of large area fresco disease evolvement is also included, in order to achieve the diseas

英文关键词： Image Analysis；Ancient Mural；Monitoring Technique；Culture Heritage；