The purpose of this work is to present anew dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm).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. In IS and T Archiving Conference, ARCHIVING (pp.94-100). Society for Imaging Science and Technology [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The purpose of this work is to present anew dataset of hyperspectral images of historical documents consisting of 66 historical family tree samples from the 16th and 17th centuries in two spectral ranges: VNIR (400-1000 nm) and SWIR (900-1700 nm).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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