Identification of stingless bees beginning from the classification of SIFT descriptors of an image of the right forewing

 

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Dettagli Bibliografici
Autori: Figueroa-Mata, Geovanni, Prendas-Rojas, Juan Pablo, Ramírez-Bogantes, Melvin, Aguilar-Monge, Ingrid, Herrera-González, Eduardo, Travieso-González, Carlos Manuel
Natura: artículo original
Status:Versión publicada
Data di pubblicazione:2016
Descrizione:It has been found that morphological information contained in a wing can be used to identify the species of certain insects, including bees. This paper uses the information contained in the photograph of a wing to discriminate the specie of native stingless bees. A discriminator algorithm based on SIFT is proposed. Specimens used in the research were collected directly from the nests in different geographic areas of Costa Rica and correspond to 18 species of 10 genders. The proposed algorithm was validated with 436 images with 81% success in gender discrimination and 76% for the species. 
Stato:Portal de Revistas TEC
Istituzione:Instituto Tecnológico de Costa Rica
Repositorio:Portal de Revistas TEC
Lingua:Español
OAI Identifier:oai:ojs.pkp.sfu.ca:article/2585
Accesso online:https://revistas.tec.ac.cr/index.php/tec_marcha/article/view/2585
Keyword:Abejas sin aguijón
clasificación de especies
procesamiento de imágenes
descriptores SIFT
agrupamiento aglomerativo jerárquico.
Stingless bees
classification
image processing
SIFT descriptors
clustering.