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Nhan đề : 
Extracting chain lines and laid lines from digital images of medieval paper using spectral total variation decomposition
Tác giả : 
Grossmann, Tamara G.
Schönlieb, Carola-Bibiane
Rold, Orietta Da
Năm xuất bản : 
2023
Nhà xuất bản : 
Springer
Tóm tắt : 
Medieval paper, a handmade product, is made with a mould which leaves an indelible imprint on the sheet of paper. This imprint includes chain lines, laid lines and watermarks which are often visible on the sheet. Extracting these features allows the identification of the paper stock and gives information about the chronology, localisation and movement of manuscripts and people. Most computational work for feature extraction of paper analysis has so far focused on radiography or transmitted light images. While these imaging methods provide clear visualisation of the features of interest, they are expensive and time consuming in their acquisition and not feasible for smaller institutions. However, reflected light images of medieval paper manuscripts are abundant and possibly cheaper in their acquisition. In this paper, we propose algorithms to detect and extract the laid and chain lines from reflected light images.
Mô tả: 
CC-BY
URI: 
https://link.springer.com/article/10.1186/s40494-023-01013-3
https://dlib.phenikaa-uni.edu.vn/handle/PNK/8929
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