考古文物检测的智能图像处理与光学手段

S. Ionita, Daniela Ţurcanu-Caruțiu
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引用次数: 1

摘要

本章描述了光学信息和先进的图像处理如何用于研究考古文物和艺术品,以便更精确和无创地确定文物的形状和颜色特征。本研究的目的是发展一种被动实验技术,以帮助人类专家在文物鉴定和保存修复过程中做出最佳决策。使用的方法是对目标图像进行数字捕获,然后用专门的软件工具对其进行处理,分析颜色特征和明显的几何细节。该方法通过智能地结合数字图像分析功能来构建一组色彩结构特征,用于识别可能的差异并估计颜色和形状的演变。通过数字图像处理对文物进行调查是一种非侵入性的、精确的补充分析方法,可以降低成本,必须广泛集成到艺术遗产保护领域的专家和策展人的决策支持系统中。
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Intelligent Image Processing and Optical Means for Archeological Artifacts Examination
This chapter describes how optical information and advanced image processing can be used to study archeological objects and artworks in order to determine more precisely and noninvasively the characteristics of the shape and color of artifacts. The purpose of this research is to develop a passive experimental technique for artifact investigation to help human experts make the best decisions in the process of authenticating and preserving-restoring objects. The method used is digital capture of object images followed by processing them with specialized software tools to analyze the chromatic characteristics and apparent geometric details. The proposed methodology consists of intelligently combining digital image analysis functions to build a set of chromatic-structural features useful for recognizing possible differences and estimating color and shape evolution. The investigation of the artifacts through digital image processing is a noninvasive and precise complementary method of analysis that can reduce the costs, and it must be extensively integrated into decision support systems for experts and curators in the field of artistic heritage preservation.
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