Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/44044
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dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorBriceño, Juan C.en_US
dc.contributor.authorTicay-Rivas, Jaime R.en_US
dc.contributor.authorAlonso, Jesús B.en_US
dc.date.accessioned2018-11-21T19:48:30Z-
dc.date.available2018-11-21T19:48:30Z-
dc.date.issued2011en_US
dc.identifier.isbn9781424489565en_US
dc.identifier.urihttp://hdl.handle.net/10553/44044-
dc.description.abstractConserving earth's biodiversity for future generations is a fundamental global task, where automated recognition of pollen species by means of computer vision represents a highly prioritized issue. This work focuses on analysis and classification stages. The morphological details of the contour are proposed as pollen grains discriminative features. The approach has been developed as a robust pollen identification based on an HMM kernel. A Vector Support Machine was used as classifier. The principal contribution in this work, in terms of the use of the HMM is the gradient optimisation problem implementation in the SVM. 47 tropical honey plant species have been classified achieving a mean of 93.8% ± 1.43 of success.en_US
dc.languagespaen_US
dc.relation.ispartofINES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedingsen_US
dc.sourceINES 2011 - 15th International Conference on Intelligent Engineering Systems, Proceedings (5954712), p. 17-21en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherHidden Markov models , Support vector machines , Kernel , Shape , Databases , Equations , Mathematical model , Pollen grains , pollen classification , HMM , SVMen_US
dc.titlePollen classification based on contour featuresen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference15th International Conference on Intelligent Engineering Systems, INES 2011
dc.identifier.doi10.1109/INES.2011.5954712
dc.identifier.scopus80051773666-
dc.contributor.authorscopusid6602376272-
dc.contributor.authorscopusid57197530947-
dc.contributor.authorscopusid37862263900-
dc.contributor.authorscopusid24774957200-
dc.description.lastpage21-
dc.identifier.issue5954712-
dc.description.firstpage17-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.date.coverdateAgosto 2011
dc.identifier.conferenceidevents121413
dc.identifier.ulpgces
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.event.eventsstartdate23-06-2011-
crisitem.event.eventsenddate25-06-2011-
Appears in Collections:Actas de congresos
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