An automatic system for dirt in pulp inspection using hierarchical image segmentation

Detalhes bibliográficos
Autor(a) principal: Duarte, F.
Data de Publicação: 1999
Outros Autores: Araújo, H., 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/10316/4112
https://doi.org/10.1016/s0360-8352(99)00089-3
Resumo: An automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper images. Some optimisations are introduced to avoid an excessive computational load.
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spelling An automatic system for dirt in pulp inspection using hierarchical image segmentationQuality ControlAutomatic Visual InspectionProductionPulp and PaperComputer VisionPattern RecognitionAn automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper images. Some optimisations are introduced to avoid an excessive computational load.http://www.sciencedirect.com/science/article/B6V27-3XR260K-2T/1/aa6b716fc7193b3d447bff73516ce10d1999info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4112http://hdl.handle.net/10316/4112https://doi.org/10.1016/s0360-8352(99)00089-3engComputers & Industrial Engineering. 37:1-2 (1999) 343-346Duarte, F.Araújo, H.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:10316/4112Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:58:17.882673Repositório 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 An automatic system for dirt in pulp inspection using hierarchical image segmentation
title An automatic system for dirt in pulp inspection using hierarchical image segmentation
spellingShingle An automatic system for dirt in pulp inspection using hierarchical image segmentation
Duarte, F.
Quality Control
Automatic Visual Inspection
Production
Pulp and Paper
Computer Vision
Pattern Recognition
title_short An automatic system for dirt in pulp inspection using hierarchical image segmentation
title_full An automatic system for dirt in pulp inspection using hierarchical image segmentation
title_fullStr An automatic system for dirt in pulp inspection using hierarchical image segmentation
title_full_unstemmed An automatic system for dirt in pulp inspection using hierarchical image segmentation
title_sort An automatic system for dirt in pulp inspection using hierarchical image segmentation
author Duarte, F.
author_facet Duarte, F.
Araújo, H.
Dourado, A.
author_role author
author2 Araújo, H.
Dourado, A.
author2_role author
author
dc.contributor.author.fl_str_mv Duarte, F.
Araújo, H.
Dourado, A.
dc.subject.por.fl_str_mv Quality Control
Automatic Visual Inspection
Production
Pulp and Paper
Computer Vision
Pattern Recognition
topic Quality Control
Automatic Visual Inspection
Production
Pulp and Paper
Computer Vision
Pattern Recognition
description An automatic visual inspection system designed for dirt inspection in the pulp and paper industry is presented. A new hierarchical region oriented segmentation algorithm is introduced. The algorithm is tuned according to the singular characteristics of the pulp samples. A criterion based on the maximisation of the local contrast is defined in order to perform a defect region segmentation of the pulp and paper images. Some optimisations are introduced to avoid an excessive computational load.
publishDate 1999
dc.date.none.fl_str_mv 1999
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/10316/4112
http://hdl.handle.net/10316/4112
https://doi.org/10.1016/s0360-8352(99)00089-3
url http://hdl.handle.net/10316/4112
https://doi.org/10.1016/s0360-8352(99)00089-3
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Computers & Industrial Engineering. 37:1-2 (1999) 343-346
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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collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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