首页> 中文期刊> 《光谱学与光谱分析》 >基于光谱成像与光谱分析的壁画鉴赏研究

基于光谱成像与光谱分析的壁画鉴赏研究

         

摘要

For the technology requirements of appreciating mural paintings,according to the advantages of spectral imaging and spectral analysis,the usages of spectral imaging in appreciating mural paintings were discussed,which could improve the tradi-tional expert experience identification method by providing more information in the appreciation and assessment.Spectral method is an important scientific analysis method with many characteristics,like non-contact,lossless,scientific,accurate and quantifi-able,which can be used to appreciate mural paintings.Firstly,the application was analyzed from different functions.Secondly, the measurements of mural paintings in HAN XIU tomb were processed by spectral analysis,primary component analysis,inde-pendent component analysis,relevance judgment and interactive processing,which were for proving the real affection of the the-ory analysis.At last,based on the experiments,some key technologies were summarized,for example,normalized measure-ments,analysis of characters of image and spectral data,processer of image and spectral data.The experiment results showed that the spectral imaging and analysis were useful for the recognition of pigment,the extraction of hidden information,the en-hancement of weak information,and the classification and recognition of different properties.Meanwhile,some exploratory works can be unfolded,like modified child analysis,repairing of paintings (such as repairing mural paintings in HAN XIU tomb).%针对壁画鉴赏中对科学分析方法的需求,根据光谱成像及光谱分析方法在壁画处理中的特点与优势,重点讨论了光谱成像技术在壁画鉴赏处理中的应用,其可以辅助传统的专家经验鉴定方法,提供更丰富客观的画作信息,实现作品的鉴赏分析.光谱成像与分析方法是一类重要的科学分析方法,因其具有非接触、破损少甚至无破损、科学、准确、可量化等特点,可应用于壁画修复、信息提取、颜料分析、特征增强、鉴赏分析等.首先,从技术实现角度出发给出具体的鉴赏应用方向.然后,基于光谱特征分析、主成分分析、独立分量分析、相关性判别、人机交互处理等方法,对实际观测的韩休墓壁画进行实验处理,验证技术应用的实验效果,最后,结合应用实验提出包括规范化采集、图谱特征分析、图谱处理系统等关键技术还需进一步解决.实验结果表明,利用光谱成像分析技术可以实现壁画颜料信息的判读,隐藏信息的提取、弱信息的增强,不同属性的分类识别,同时,还可以综合特殊需求,开展画作图谱探索性研究,如壁画处理中的涂改小孩分析、画作修复等.

著录项

相似文献

  • 中文文献
  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号