Abstract
The taxonomical recognition of microscopic biological particles such as pollen and spores is relevant for medical and aerobiological applications. Focusing on an accurate and automatic vision-based pollen recognition system, we propose a method for classification of pollen apertures based on bag-of-words strategy, with the ability of learning new types from different taxa without the need of new algorithms. Results demonstrate suitable performance and ability to add new taxa. © 2013 Springer-Verlag.
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Lozano-Vega, G., Benezeth, Y., Marzani, F., & Boochs, F. (2013). Classification of pollen apertures using bag of words. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8156 LNCS, pp. 712–721). Springer Verlag. https://doi.org/10.1007/978-3-642-41181-6_72
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