基于图像提取与修复的计算机辅助古画印章分析
Computer Aided Analysis of Ancient Painting Seals Based on Image Extraction and Restoration
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摘要: 印章的比对分析在历史研究、人物关系等领域有着巨大的意义. 传统印章分析依赖于专家长期积累的领域知识, 并需要人工在来源广泛的印章中进行比对, 效率低下且极其耗费人力. 然而目前还缺乏准确有效的方法. 为解决以上问题, 本文与人文领域专家深度合作, 提出了一种古画印章的自动提取与修复方法, 实现高精度的完整印章批量抠取与修复, 从印章整体、局部、关联特征等信息构建印章画像, 并通过可视分析系统将智能计算与领域知识进行有机结合, 从多个角度对单个印章进行整合呈现, 帮助领域专家在大量印章数据中对单个印章进行比对分析, 从而极大程度地提高其工作效率. 本文通过两个案例验证了方法的有效性, 并从专家后续访谈中获得令人鼓舞的反馈.Abstract: The comparative analysis of seals has great significance in the fields of historical research and character relationship. Traditional seal analysis relies on long-term accumulated domain knowledge of experts, it is inefficient and labor-intensive to manually compare seals from a wide range of sources. However, there still lacks of accurate and effective methods. To solve these problems, this paper cooperates with experts in the humanities field to propose an automatic extraction and inpainting method of seals with high-precision, constructs seal portraits from information such as the overall, partial, associated features, and combines intelligent computing with domain knowledge through a visual analysis system. Integrating and presenting a single seal from multiple perspectives helps domain experts conduct an analysis of a seal in a large amount of seal data, thereby greatly improving the work efficiency. This paper validates the method through two cases, and received encouraging feedback from follow-up interviews with experts.