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Enhancement of multispectral images of ancient manuscripts. Fabian Hollaus , Robert Sablatnig Vienna University of Technology Computer Vision Lab { holl , sab }@ caa.tuwien.ac.at. TitlE Slide With picture right. Authors Name 1, Name 2, Name 3 until this end
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Enhancementofmultispectralimagesofancientmanuscripts Fabian Hollaus, Robert Sablatnig Vienna University of Technology Computer Vision Lab {holl, sab}@caa.tuwien.ac.at
TitlE Slide Withpictureright Authors Name 1, Name 2, Name 3 untilthis end Affiliations {E-Mail}
TitlE – slideWithout Picture Authors Name 1, Name 2, Name 3 Affiliations {E-Mail}
Titel & SubtiTleWithoutpicture Authors Name 1, Name 2, Name 3 untilthis end Affiliations {E-Mail}
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Motivation Labeling Enhancementresult • Ancientmanuscripts • Faded out ink • Background clutter • Palimpsests (twicewrittenmanuscript) • MultiSpectral Imaging • Usedforlegibilityincreasement • Dimension reductioncanbeusedforfurtherenhancement • Applied Linear Discriminant Analysis (LDA) • Requireslabelingoftrainingdata • LDA is a superviseddimensionreductiontechnique • Requireslabeling • Automatedlabelingbased on documentanalysistechniques: • Binarization • Text linedetection Titel
Motivation Picture 1 • Ancientmanuscripts • Faded out ink • Background clutter • Palimpsests (twicewrittenmanuscript) • MultiSpectral Imaging • Non-Invasive technique • Usedforlegibilityincreasement • Dimension reductioncanbeusedforfurtherenhancement • Applied Linear Discriminant Analysis • Requireslabelingoftrainingdata • Based on documentanalysistechniques • Binarization • Text linedetection Labeling Heading 1 • Heading 2 / Text untilthis end • Heading 3 / Text • Heading 4 / Text • Heading 5 / Text Titel
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