Brancaccio Rosa, Albertin Fauzia, Seracini Marco, Bettuzzi Matteo, Morigi Maria Pia
Department of Physics and Astronomy "Augusto Righi", University of Bologna, 6/2, Viale Carlo Berti Pichat, 40127 Bologna, Italy.
National Institute of Nuclear Physics & Istituto Nazionale di Fisica Nucleare, CHNet, Division of Bologna, Via Berti Pichat 6/2, 40127 Bologna, Italy.
J Imaging. 2023 Oct 20;9(10):230. doi: 10.3390/jimaging9100230.
X-ray Computed Tomography (CT), a commonly used technique in a wide variety of research fields, nowadays represents a unique and powerful procedure to discover, reveal and preserve a fundamental part of our patrimony: ancient handwritten documents. For modern and well-preserved ones, traditional document scanning systems are suitable for their correct digitization, and, consequently, for their preservation; however, the digitization of ancient, fragile and damaged manuscripts is still a formidable challenge for conservators. The X-ray tomographic approach has already proven its effectiveness in data acquisition, but the algorithmic steps from tomographic images to real page-by-page extraction and reading are still a difficult undertaking. In this work, we propose a new procedure for the segmentation of single pages from the 3D tomographic data of closed historical manuscripts, based on geometric features and flood fill methods. The achieved results prove the capability of the methodology in segmenting the different pages recorded starting from the whole CT acquired volume.
X射线计算机断层扫描（CT）是广泛应用于各种研究领域的常用技术，如今它已成为发现、揭示和保存我们文化遗产中一个重要部分——古代手写文献的独特且强大的手段。对于现代且保存完好的文献，传统的文献扫描系统适合对其进行正确的数字化处理，进而实现保存；然而，对于古老、脆弱且受损的手稿进行数字化处理，对文物保护工作者来说仍是一项艰巨的挑战。X射线断层扫描方法在数据采集方面已证明其有效性，但从断层图像到实际逐页提取和读取的算法步骤仍然是一项艰巨的任务。在这项工作中，我们基于几何特征和泛洪填充方法，提出了一种从封闭历史手稿的3D断层数据中分割单页的新方法。所取得的结果证明了该方法能够从整个CT采集体积中分割出记录的不同页面。
