The purpose of this work is to present a new dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm).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.
Moronta-Montero, F., Fernández-Gualda, R., López-Baldomero, A., Buzzelli, M., Martínez-Domingo, M., Valero, E. (2024). Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees. Intervento presentato a: Archiving Conference, Washington, D.C. [10.2352/issn.2168-3204.2024.21.1.19].
Evaluation of Binarization Methods for Hyperspectral Samples of 16th and 17th Century Family Trees
Buzzelli, Marco;
2024
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The purpose of this work is to present a new dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm).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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