摘要
为了对壁画颜料种类进行无损识别,根据不同的物质对光的吸收特性不同,决定着光谱反射率不同这一特性,提出一种基于可见光谱的颜料识别方法,并对敦煌壁画所用颜料进行了分析。提取可见光谱曲线二阶导数负数部分表征曲线峰值区域的几何轮廓,利用中值金字塔对提取结果进行三层分辨率表征以突出曲线峰值位置信息,归一化三种表征尺度并组合构建特征空间F,以欧氏距离为准则对壁画采样点与颜料库样本进行相似度判别,从而识别出壁画用颜料信息。结果表明,本研究构建的识别方法能够对壁画颜料种类进行无损识别,在壁画数字存档及修复领域具有一定的应用前景。
Different materials have different absorption characteristics, so their spectral reflectances have different characteristics. In order to analyze the pigments of Dunhuang murals, an algorithm was designed to recognize pig-ments automatically based on extracted features of their visible reflectance spectra. The first and second order deriv-ative of the visible reflectance spectrum in the range 400 ~700nm was computed to extract peak information. The absolute value of the negative position in second order derivative was selected as feature data to present the peaks. A median pyramid was used to derive three resolution representations of the featured curves to enhance the most im-portant information, and then these three curves were normalized and combined as the feature space F. The Euclide-an distance between sample points and pigments database was calculated as the similarity to identify the mineral pigment of target color points. Results show that the non - destructive identification method can recognize the pig-ments of Dunhuang murals efficiently and accurately. The method is worth applying to the restoration and digital ar-chiving of murals.
出处
《文物保护与考古科学》
北大核心
2017年第3期45-51,共7页
Sciences of Conservation and Archaeology
基金
国家自然科学基金资助(61575147)
国家文物局文化遗产保护领域科学和技术研究课题资助(2013-YB-HT-034)
关键词
可见光谱
颜料识别
敦煌壁画
无损
特征提取
欧氏距离
Visible reflectance spectrum
Pigment recognition
Dunhuang murals
Non - destructive
Feature ex-traction
Euclidean distance
