Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/4117
DC FieldValueLanguage
dc.contributor.authorCarvalho, P.-
dc.contributor.authorCosta, N.-
dc.contributor.authorRibeiro, B.-
dc.contributor.authorDourado, A.-
dc.date.accessioned2008-09-01T10:09:50Z-
dc.date.available2008-09-01T10:09:50Z-
dc.date.issued1998en_US
dc.identifier.citationComputers & Industrial Engineering. 35:3-4 (1998) 539-542en_US
dc.identifier.urihttp://hdl.handle.net/10316/4117-
dc.description.abstractLime granule quality inspection is an important task in the pulp and paper industry. In this paper a new method, build-up on a neural network and a path search method, is introduced for lime granule automatic visual inspection. Several correction steps to Landau's method are also introduced.en_US
dc.description.urihttp://www.sciencedirect.com/science/article/B6V27-3WXX91K-1C/1/0b2b4fa00edc54eb3670b9819890f8aden_US
dc.format.mimetypeaplication/PDFen
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectAutomatic visual inspectionen_US
dc.subjectElliptical objects localisationen_US
dc.subjectNeural networksen_US
dc.subjectPulp and paper industryen_US
dc.titleIndustrial visual inspection of lime granules by neural networksen_US
dc.typearticleen_US
uc.controloAutoridadeSim-
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptFaculdade de Ciências e Tecnologia, Universidade de Coimbra-
crisitem.author.deptFaculdade de Ciências e Tecnologia, Universidade de Coimbra-
crisitem.author.parentdeptUniversidade de Coimbra-
crisitem.author.parentdeptUniversidade de Coimbra-
crisitem.author.researchunitCENTRE FOR INFORMATICS AND SYSTEMS OF THE UNIVERSITY OF COIMBRA-
crisitem.author.researchunitCENTRE FOR INFORMATICS AND SYSTEMS OF THE UNIVERSITY OF COIMBRA-
crisitem.author.orcid0000-0002-9847-0590-
crisitem.author.orcid0000-0002-9770-7672-
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais
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