Industrial visual inspection of lime granules by neural networks

Detalhes bibliográficos
Autor(a) principal: Carvalho, P.
Data de Publicação: 1998
Outros Autores: Costa, N., Ribeiro, B., Dourado, A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/4117
https://doi.org/10.1016/s0360-8352(98)00153-3
Resumo: Lime 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.
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spelling Industrial visual inspection of lime granules by neural networksAutomatic visual inspectionElliptical objects localisationNeural networksPulp and paper industryLime 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.http://www.sciencedirect.com/science/article/B6V27-3WXX91K-1C/1/0b2b4fa00edc54eb3670b9819890f8ad1998info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4117http://hdl.handle.net/10316/4117https://doi.org/10.1016/s0360-8352(98)00153-3engComputers & Industrial Engineering. 35:3-4 (1998) 539-542Carvalho, P.Costa, N.Ribeiro, B.Dourado, A.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2020-11-06T16:59:48Zoai:estudogeral.uc.pt:10316/4117Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:58:18.113826Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Industrial visual inspection of lime granules by neural networks
title Industrial visual inspection of lime granules by neural networks
spellingShingle Industrial visual inspection of lime granules by neural networks
Carvalho, P.
Automatic visual inspection
Elliptical objects localisation
Neural networks
Pulp and paper industry
title_short Industrial visual inspection of lime granules by neural networks
title_full Industrial visual inspection of lime granules by neural networks
title_fullStr Industrial visual inspection of lime granules by neural networks
title_full_unstemmed Industrial visual inspection of lime granules by neural networks
title_sort Industrial visual inspection of lime granules by neural networks
author Carvalho, P.
author_facet Carvalho, P.
Costa, N.
Ribeiro, B.
Dourado, A.
author_role author
author2 Costa, N.
Ribeiro, B.
Dourado, A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Carvalho, P.
Costa, N.
Ribeiro, B.
Dourado, A.
dc.subject.por.fl_str_mv Automatic visual inspection
Elliptical objects localisation
Neural networks
Pulp and paper industry
topic Automatic visual inspection
Elliptical objects localisation
Neural networks
Pulp and paper industry
description Lime 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.
publishDate 1998
dc.date.none.fl_str_mv 1998
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/4117
http://hdl.handle.net/10316/4117
https://doi.org/10.1016/s0360-8352(98)00153-3
url http://hdl.handle.net/10316/4117
https://doi.org/10.1016/s0360-8352(98)00153-3
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers & Industrial Engineering. 35:3-4 (1998) 539-542
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv aplication/PDF
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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repository.mail.fl_str_mv
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