Multispectral photography investigation technology has previously been used to reproduce the contents of obscure murals and to analyze the use and distribution of the pigments in these murals. As for the Mogao cave murals, a Database of the Mogao Cave Mural Pigments Multispectral Photography Image Standards has been established by a rigorous system of selection and verification from the captured multispectral images of the 24 known types of painting materials established by previous research results. Based on comparative terms, one can obtain the class and distribution status of pigments of Maogao grotto murals through analysis conducted by trained professionals comparing and analyzing the images of the murals captured under spectral conditions aligned with the pigment spectrum from the database. Individual differences in the perception of colors, howev-er, is likely to lead to subjective inconsistencies, recognition difficulty, low precision etc., and is not a process untrained individuals can complete to satisfaction. This study adopts the multispectral photography system to de-velop a multispectral digital image identification system for mural pigments based on the color data obtained from multispectral images. The process begins by selecting RGB values of the target pigment from obtained multispectral images of wall paintings and converting them to HSV color space. By automatic querying, the most numerically similar HSV color values are then matched with pigment values from the multispectral image database, thus providing a scientific identification of pigment category to a high degree of accuracy and efficien-cy that avoids the problems related to subjective manual comparison.%多光谱摄影无损调查技术已成熟应用于对漫漶壁画内容的再现提取,调查壁画中颜料类别的使用及分布.在以往的研究中对已知的24种莫高窟壁画绘画材料做了多光谱图像获取,并经过科学筛选、验证,建立了"莫高窟壁画颜料多光谱图像色彩标准数据库",专业人员可通过相同光谱条件下对现实壁画获取光谱图像,并与颜料多光谱图像标准数据库对比分析,可初步获悉莫高窟壁画中颜料的类别及应用分布状态.但是人眼对色彩的认知存在个体差异,导致人工比对存在主观不一致、识别难、精度低等问题,且不利于非专业人员分析研究.本研究采用多光谱摄影系统,以"颜料多光谱图像色彩标准数据库"[1]为基础,开发颜料多光谱图像数字化识别系统.目的利用软件算法对壁画多光谱图像中的目标颜料通过RGB色彩空间模型向HSV色彩空间模型数值的转换,自动查询、匹配颜料多光谱图像数据库中不同颜料HSV色彩数值的最近相似度[2],以达到自动识别颜料类别的目标,解决人工比对中存在的不足,提高鉴别的精度和效率,从而提升分析的科学性.
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