从中世纪纸张的数字图像中提取链条和铺设线条,使用光谱总变化分解
Tamara G Grossmann1, Carola-Bibiane Schönlieb1, Orietta Da Rold2
1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
概括
这项研究引入了使用反射光图像分析中世纪纸张的新算法. 这些方法提取链条和铺设线条,使纸张库存的识别和手稿分析在规模上.
科学领域:
- 手稿研究是手稿研究.
- 纸张分析 纸张分析
- 计算机成像成像技术
背景情况:
- 中世纪的纸张特征 (链条/铺设线条,水印) 有助于手稿分析.
- 现有的计算方法依赖于昂贵的放射学或传输光.
- 反射光成像提供了一个更便宜,丰富的替代方案.
研究的目的:
- 开发用于从反射光图像中提取铺设和链条的算法.
- 解决反射光图像中低对比度和噪声的挑战.
- 能够对历史性纸质手稿进行更广泛的分析.
主要方法:
- 使用的光谱总变化分解.
- 开发了从反射光图像中提取特征的算法.
- 专注于检测和提取链条和铺设线路.
主要成果:
- 从反射光图像中成功检测并提取了链条和铺设线条.
- 证明了使用反射光用于纸张分析的可行性.
- 克服了低对比度和图像损坏的局限性.
结论:
- 反射光成像是中世纪纸张分析的一个可行的方法.
- 拟议的算法有助于大规模识别纸张库存.
- 这项研究将手稿分析的范围扩大到以前无法获得的材料.
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