Software Open Access

Line Detection Tool v1.0.1 (LDT1.0.1)

Hussein Mohammed

The main goal of this software tool is to analyse images of writing supports in order to detect lines (such as printers marks or papyri fibres) and estimate their density. The main tasks achieved by this software tool are:

  • Detecting lines in pre-selected orientation.
  • Calculating min and max spacing, and density within a pre-specified length.
  • Providing evaluation of detection accuracy for images with ground-truth information.
  • Generating visualisation of detection histogram for manual inspection.
  • Allowing for rotation correction and parameter change in order to optimise the detection results.

What is new?

Bug fixes which were required after latest browser update.

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The research and developement for this software was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany´s Excellence Strategy – EXC 2176 ‘Understanding Written Artefacts: Material, Interaction and Transmission in Manuscript Cultures’, project no. 390893796. The research was conducted within the scope of the Centre for the Study of Manuscript Cultures (CSMC) at Universität Hamburg.

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  • Mohammed, H., Helman-Wazny, A., Colini, C., Beyer, W., Bosch, S. (2022). Pattern Analysis Software Tools (PAST) for Written Artefacts. In: Uchida, S., Barney, E., Eglin, V. (eds) Document Analysis Systems. DAS 2022. Lecture Notes in Computer Science, vol 13237. Springer, Cham. https://doi.org/10.1007/978-3-031-06555-2_15
Publication date:
October 23, 2020
DOI:
10.25592/uhhfdm.1864

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Keyword(s):
Pattern Analysis Analysis of Writing Support Paper Production Papyri Fibres Software Tool
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License (for files):
Creative Commons Attribution Non Commercial No Derivatives 4.0 International

Versions

Version 1.0.1 10.25592/uhhfdm.1864 Oct 23, 2020
Version 1.0.0 10.25592/uhhfdm.1043 Jun 16, 2020
Cite all versions? You can cite all versions by using the DOI 10.25592/uhhfdm.1042. This DOI represents all versions, and will always resolve to the latest one.

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