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Volume: 21 | Article ID: 19
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Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees
  DOI :  10.2352/issn.2168-3204.2024.21.1.19  Published OnlineApril 2024
Abstract
Abstract

The purpose of this work is to present a new dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm). In addition, we performed an evaluation of different binarization algorithms, both using a single spectral band and generating false RGB images from the hyperspectral cube.

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Francisco Moronta-Montero, Ramón Fernández-Gualda, Ana B. López-Baldomero, Marco Buzzelli, Miguel A. Martínez-Domingo, Eva M. Valero, "Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Treesin Archiving Conference,  2024,  pp 94 - 100,  https://doi.org/10.2352/issn.2168-3204.2024.21.1.19

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