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Otoliths identifiers using image contours EFD

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dc.contributor Universitat de Vic. Escola Politècnica Superior
dc.contributor Universitat de Vic. Grup de Recerca en Tecnologies Digitals
dc.contributor.author Reig Bolaño, Ramon
dc.contributor.author Martí i Puig, Pere
dc.contributor.author Rodríguez, Sara
dc.contributor.author Bajo, Javier
dc.contributor.author Parisi Baradad, Vicenç
dc.date.accessioned 2012-12-13T09:30:44Z
dc.date.available 2012-12-13T09:30:44Z
dc.date.created 2010
dc.date.issued 2010
dc.identifier.citation Reig, R. [et al.]. "Otoliths identifiers using image contours EFD". A: Advances in intelligent and soft computing, Setembre 2010, vol. 79, p. 9-16. ca_ES
dc.identifier.issn 1867-5662
dc.identifier.uri http://hdl.handle.net/10854/1954
dc.description.abstract Abstract. In this paper we analyze the characteristics of an experimental otolith identification system based on image contours described with Elliptical Fourier Descriptors (EFD). Otoliths are found in the inner ear of fishes. They are formed by calcium carbonate crystals and organic materials of proteic origin. Fish otolith shape analysis can be used for sex, age, population and species identification studies, and can provide necessary and relevant information for ecological studies. The system we propose has been tested for the identification of three different species, Engraulis encrasicholus, Pomadasys incisus belonging to the different families (Engroulidae and Haemolidae), and two populations of the species Merluccius merluccius (from CAT and GAL) from the family Merlucciidae. The identification of species from different families could be carried out quite easily with some simple class identifiers -i.e based on Support Vector Machine (SVM) with linear Kernel-; however, to identify these two populations that are characterized by a high similarity in their global form; a more accurate, and detailed shape representation of the otoliths are required, and at the same time the Otolith identifiers have to deal with a bigger number of descriptors. That is the principal reason that makes a challenging task both the design and the training of an otolith identification system, with a good performance on both cases. ca_ES
dc.format application/pdf
dc.format.extent 8 p. ca_ES
dc.language.iso eng ca_ES
dc.publisher Springer Berlín / Heidelberg ca_ES
dc.rights (c) Springer (The original publication is available at www.springerlink.com)
dc.rights Tots els drets reservats ca_ES
dc.subject.other Otòlits ca_ES
dc.title Otoliths identifiers using image contours EFD ca_ES
dc.type info:eu-repo/semantics/bookPart ca_ES
dc.identifier.doi https://doi.org/10.1007/978-3-642-14883-5
dc.relation.publisherversion https://springerlink3.metapress.com/content/88726hhj1l541303/resource-secured/?target=fulltext.pdf&sid=ot11f445g50rbr55schir0yp&sh=www.springerlink.com
dc.rights.accesRights info:eu-repo/semantics/closedAccess ca_ES

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