6533b855fe1ef96bd12b0076
RESEARCH PRODUCT
Classification of Pollen Apertures Using Bag of Words
Yannick BenezethGildardo Lozano-vegaFrank BoochsFranck Marzanisubject
Palynology010504 meteorology & atmospheric sciencesbusiness.industryPollen recognitionBiological particles02 engineering and technologyBiologymedicine.disease_cause01 natural sciencesComputingMethodologies_PATTERNRECOGNITIONBag-of-words modelPollen[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Pattern recognition (psychology)[ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineeringmedicine020201 artificial intelligence & image processingComputer visionArtificial intelligencebusiness0105 earth and related environmental sciencesdescription
International audience; The taxonomical recognition of microscopic biological parti- cles 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 aper- tures 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.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2013-09-01 |