Computer Aided Analysis of Underdrawings in Infrared Reflectograms
Computer Aided Analysis of Underdrawings in Infrared Reflectograms
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红外反射图中底画的计算机辅助分析
DOI：
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发表时间：
2003
期刊：
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通讯作者：
Robert Sablatnig
中科院分区：
文献类型：
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作者：
P. Kammerer;Ernestine Zolda;Robert Sablatnig
计算机视觉的最新发展为评估艺术历史学家和考古学家收集的数据提供了强大的工具。新的相机硬件使人们能够对文化遗产有新的见解，特别是在涉及红外相机的情况下，因为它们允许对视觉上隐藏的结构进行研究。本文给出了研制红外反射图自动分析系统的初步结果。我们专注于一种算法，用于自动分割底图中的笔画-这是艺术家的基本概念-在古代板画中，以及去除红外图像中的裂缝。笔划分析的目的是确定用于绘制绘画的绘画工具。这些信息为在绘画分析中采用系统的风格方法提供了重要支持。绘画中的笔画分割涉及到笔迹的提取和识别，因此使用了类似的技术来从包含边界信息的背景中分割笔画。对于测试板和实际反射图，都给出了所开发算法的结果。
Recent developments in computer vision are providing powerful tools for the evaluation of data gathered by art historians and archaeologists. New camera hardware allows new insights into cultural heritage, especially if infrared cameras are concerned, since they allow the of study structures that are visually hidden. In this paper preliminary results of developing a system for automatic analysis of infrared reflectograms are presented. We concentrate on an algorithm for the automatic segmentation of strokes in underdrawings - the basic concept of the artist - in ancient panel paintings and the removal of cracks in infrared images. The purpose of the stroke analysis is the determination of the drawing tool used to draft the painting. This information allows significant support for a systematic stylistic approach in the analysis of paintings. Stroke segmentation in paintings is related to the extraction and recognition of handwriting, therefore similar techniques to segment the strokes from the background incorporating boundary information are used. Results of the algorithms developed are presented for both test panels and real reflectograms.