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A modular approach to real-time cork classification using image processing

dc.contributor.authorLima, José
dc.contributor.authorCosta, Paulo Gomes da
dc.date.accessioned2010-02-15T10:57:13Z
dc.date.available2010-02-15T10:57:13Z
dc.date.issued2005
dc.description.abstractThis paper’s main purpose is to present an automatic vision assortment system for cork classification. Cork is a natural material that is used to seal wine bottles for its reliability and for its chemical and mechanic properties. A modular approach isolates the hard real-time sub problems. It includes some custom developed hardware and software. The developed and implemented system acquires images by a linear CCD camera, transmits that image over an Ethernet based network and processes that image to extract quantitative elements. This system can analyse and distinguish defects that one can find on the surface of a cork stopper and it is also possible to adapt the system to other kinds of problems. The size, form and position of the defects are analysed and the stability of repeated measures is observed. This result allows us to validate the presented methodology.pt
dc.identifier.citationLima, José; Costa, Paulo (2005). A modular approach to real-time cork classification using image processing. In 10th International Conference on Emerging Technologies and Factory Automation. Catania. ISBN 978-078039402-5pt
dc.identifier.isbn978-078039402-5
dc.identifier.urihttp://hdl.handle.net/10198/1906
dc.language.isoengpt
dc.publisherIEEEpt
dc.subjectImage processingpt
dc.subjectQuality controlpt
dc.titleA modular approach to real-time cork classification using image processingpt
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferencePlaceCatania, Italypt
oaire.citation.title10th IEEE International Conference on Emerging Technologies and Factory Automationpt
person.familyNameLima
person.givenNameJosé
person.identifierR-000-8GD
person.identifier.ciencia-id6016-C902-86A9
person.identifier.orcid0000-0001-7902-1207
person.identifier.ridL-3370-2014
person.identifier.scopus-author-id55851941311
rcaap.rightsopenAccesspt
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublicationd88c2b2a-efc2-48ef-b1fd-1145475e0055
relation.isAuthorOfPublication.latestForDiscoveryd88c2b2a-efc2-48ef-b1fd-1145475e0055

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