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Related Experiment Video

Updated: Jul 1, 2026

Quantifying Intermembrane Distances with Serial Image Dilations
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A Geometric Feature-Based Algorithm for the Virtual Reading of Closed Historical Manuscripts.

Rosa Brancaccio1, Fauzia Albertin2, Marco Seracini1

  • 1Department of Physics and Astronomy "Augusto Righi", University of Bologna, 6/2, Viale Carlo Berti Pichat, 40127 Bologna, Italy.

Journal of Imaging
|October 27, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using X-ray Computed Tomography (CT) to digitally preserve fragile ancient manuscripts. The technique effectively segments individual pages from 3D CT scans, aiding in document preservation.

Keywords:
X-ray tomographyancient handwritten documentsimage classificationimage segmentation

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Area of Science:

  • Digital Humanities
  • Cultural Heritage Preservation
  • Medical Imaging Applications

Background:

  • Traditional document scanning is inadequate for fragile, ancient manuscripts.
  • Digitizing historical documents presents significant challenges for conservators.
  • X-ray Computed Tomography (CT) shows promise for data acquisition from such documents.

Purpose of the Study:

  • To develop a new procedure for segmenting single pages from 3D CT data of closed historical manuscripts.
  • To overcome the challenges in extracting readable pages from tomographic images.
  • To enhance the digitization and preservation of ancient handwritten documents.

Main Methods:

  • Utilizing X-ray Computed Tomography (CT) for 3D data acquisition of closed manuscripts.
  • Developing a novel segmentation algorithm based on geometric features.
  • Applying flood fill methods for precise page separation within the CT volume.

Main Results:

  • Successfully segmented individual pages from 3D tomographic data of historical manuscripts.
  • Demonstrated the capability of the proposed methodology in separating distinct pages.
  • The results confirm the effectiveness of the algorithm in processing complex CT volumes.

Conclusions:

  • The proposed procedure offers a viable solution for segmenting pages from CT scans of historical manuscripts.
  • This technique advances the digital preservation of fragile cultural heritage.
  • Further development can improve the extraction and reading of ancient documents.