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Automated chain line marking and pattern matching in radiographs of Rembrandt's prints

机译:伦勃朗版画的射线照片中的自动链线标记和图案匹配

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The sieve-like molds used in early paper manufacturing leave characteristic chain line patterns that can help determine if two pieces of paper were made using the same mold [1]. Such moldmates can help in establishing chronology, suggest paper preferences, and indicate periods of intense activity of an artist, and the study of Rembrandt's prints has occupied a prominent place within this scholarship [2]. There are two basic steps to the automation of the analysis [3], [4]. First, the chain lines must be accurately marked, extracting points and lines from the x-ray images. Second, the markings from many x-rays must be compared to find matches. This paper presents improved algorithms for both of these tasks. Section II follows [6] in replacing the classic Radon transform approach of [5] (which requires that the chain lines be straight) with a local method that outputs marked grids of points. The method segments the images, corrects for tilt, filters, conducts a (local) Radon transform and then concludes with a peak detection. The marked grids from a large collection of x-rays of Rembrandt's prints are then used in Section III as input to the matching algorithm.
机译:早期造纸过程中使用的筛状模具具有特征性的链线图案,可以帮助确定是否使用同一模具制作了两张纸[1]。这样的模友可以帮助建立时间顺序,建议论文喜好并指出艺术家的活跃时期,而伦勃朗版画的研究在该奖学金中占有重要地位[2]。自动化分析有两个基本步骤[3],[4]。首先,必须精确标记点划线,从X射线图像中提取点和线。其次,必须将许多X射线的标记进行比较才能找到匹配项。本文提出了针对这两项任务的改进算法。第二节遵循[6],用输出标记点网格的局部方法代替[5]的经典Radon变换方法(要求链线是直线)。该方法将图像分割,校正倾斜,过滤,进行(局部)Radon变换,然后以峰值检测结束。然后,将来自伦勃朗大量X射线照片的标记网格用于第III部分中,作为匹配算法的输入。

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