Image Acquisition & Processing Routines for Damaged Manuscripts
This paper presents an overview of data acquisition and processing procedures of an interdisciplinary project of philologists and image processing experts aiming at the decipherment and reconstruction of damaged manuscripts. The digital raw image data was acquired via multi-spectral imaging. As a pr...
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Online Access: | https://journal.digitalmedievalist.org/articles/25 |
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doaj-fa9eed75b591418c9e77b34e265dcbfb2020-11-25T00:39:34ZengOpen Library of HumanitiesDigital Medievalist1715-07362011-03-01610.16995/dm.2525Image Acquisition & Processing Routines for Damaged ManuscriptsMelanie Gau0Heinz Miklas1Martin Lettner2Robert Sablatnig3Institute of Slavic Studies, University of ViennaInstitute of Slavic Studies, University of ViennaComputer Vision Lab, Institute of Computer Aided Automation, Vienna University of TechnologyComputer Vision Lab, Institute of Computer Aided Automation, Vienna University of TechnologyThis paper presents an overview of data acquisition and processing procedures of an interdisciplinary project of philologists and image processing experts aiming at the decipherment and reconstruction of damaged manuscripts. The digital raw image data was acquired via multi-spectral imaging. As a preparatory step we developed a method of foreground-background separation (binarisation) especially designed for multi-spectral images of degraded documents. On the basis of the binarised images further applications were developed: an automatic character decomposition and primitive extraction dissects the scriptural elements into analysable pieces that are necessary for palaeographic and graphemic analyses, writing tool recognition, text restoration, and optical character recognition. The results of the relevant procedures can be stored and interrogated in a database application. Furthermore, a semi-automatic page layout analysis provides codicological information on latent page contents (script, ruling, decorations).https://journal.digitalmedievalist.org/articles/25Image AcquisitionProcessingManuscriptsCodicologyPalaeographyMulti-Spectral ImagingForeground-Background SeparationGraphemic Character SegmentationDamaged ManuscriptsPalimpsestsDigital Palaeography |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Melanie Gau Heinz Miklas Martin Lettner Robert Sablatnig |
spellingShingle |
Melanie Gau Heinz Miklas Martin Lettner Robert Sablatnig Image Acquisition & Processing Routines for Damaged Manuscripts Digital Medievalist Image Acquisition Processing Manuscripts Codicology Palaeography Multi-Spectral Imaging Foreground-Background Separation Graphemic Character Segmentation Damaged Manuscripts Palimpsests Digital Palaeography |
author_facet |
Melanie Gau Heinz Miklas Martin Lettner Robert Sablatnig |
author_sort |
Melanie Gau |
title |
Image Acquisition & Processing Routines for Damaged Manuscripts |
title_short |
Image Acquisition & Processing Routines for Damaged Manuscripts |
title_full |
Image Acquisition & Processing Routines for Damaged Manuscripts |
title_fullStr |
Image Acquisition & Processing Routines for Damaged Manuscripts |
title_full_unstemmed |
Image Acquisition & Processing Routines for Damaged Manuscripts |
title_sort |
image acquisition & processing routines for damaged manuscripts |
publisher |
Open Library of Humanities |
series |
Digital Medievalist |
issn |
1715-0736 |
publishDate |
2011-03-01 |
description |
This paper presents an overview of data acquisition and processing procedures of an interdisciplinary project of philologists and image processing experts aiming at the decipherment and reconstruction of damaged manuscripts. The digital raw image data was acquired via multi-spectral imaging. As a preparatory step we developed a method of foreground-background separation (binarisation) especially designed for multi-spectral images of degraded documents. On the basis of the binarised images further applications were developed: an automatic character decomposition and primitive extraction dissects the scriptural elements into analysable pieces that are necessary for palaeographic and graphemic analyses, writing tool recognition, text restoration, and optical character recognition. The results of the relevant procedures can be stored and interrogated in a database application. Furthermore, a semi-automatic page layout analysis provides codicological information on latent page contents (script, ruling, decorations). |
topic |
Image Acquisition Processing Manuscripts Codicology Palaeography Multi-Spectral Imaging Foreground-Background Separation Graphemic Character Segmentation Damaged Manuscripts Palimpsests Digital Palaeography |
url |
https://journal.digitalmedievalist.org/articles/25 |
work_keys_str_mv |
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1725293717973106688 |