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A segmentation approach for the identification of hazelnut cultivars

dc.contributor.authorRodrigues, Pedro João
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorSantos, Alberto
dc.contributor.authorIgrejas, Getúlio
dc.date.accessioned2011-06-08T13:58:20Z
dc.date.available2011-06-08T13:58:20Z
dc.date.issued2010
dc.description.abstractThe development of a methodology for cultivar discrimination and selection during on-line quality selection could be a relevant tool for certain industries that use hazelnuts as ingredients in processed food products. The aim of this work was to obtain a computer vision system that enables an automatic recognition of six hazelnuts cultivars from 3 different origins (US, Italy and Spain). To achieve this objective, an algorithm for tuning the segmentation between the hazelnut shell and crown was developed. Important morphological features that allow the correct identification of the cultivar present in an image were obtained from the segmentation process. Finally, these features were used as input data to a neural network classifier. The obtained results showed a high percentage of correct cultivar classification.por
dc.identifier.citationRodrigues, Pedro; Amaral, J.S.; Santos, Alberto; Igrejas, Getúlio (2010). A segmentation approach for the identification of hazelnut cultivars. In FOODSIM 2010. Bragança. ISBN 978-90-77381-56-1. p.46-52por
dc.identifier.isbn978-90-77381-56-1
dc.identifier.urihttp://hdl.handle.net/10198/5064
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherEUROSISpor
dc.subjectHazelnutpor
dc.subjectSegmentationpor
dc.subjectNeural networkspor
dc.titleA segmentation approach for the identification of hazelnut cultivarspor
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceBragançapor
oaire.citation.endPage52por
oaire.citation.startPage46por
oaire.citation.titleFOODSIM 2010por
person.familyNameRodrigues
person.familyNameAmaral
person.familyNameIgrejas
person.givenNamePedro João
person.givenNameJoana S.
person.givenNameGetúlio
person.identifier.ciencia-id1316-21BB-9015
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.orcid0000-0002-0555-2029
person.identifier.orcid0000-0002-3648-7303
person.identifier.orcid0000-0002-6820-8858
person.identifier.ridM-8571-2013
person.identifier.scopus-author-id47761255900
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication6c5911a6-b62b-4876-9def-60096b52383a
relation.isAuthorOfPublication42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isAuthorOfPublicationab4092ec-d1b1-4fe0-b65a-efba1310fd5a
relation.isAuthorOfPublication.latestForDiscovery42be2cf4-adc4-4e7f-ac60-7aab515b38cd

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