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

Bibliographic Details
Main Author: Duarte, F.
Publication Date: 1999
Other Authors: Araújo, H., Dourado, A.
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10316/4112
https://doi.org/10.1016/s0360-8352(99)00089-3
Summary: 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/PDFhttps://hdl.handle.net/10316/4112https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2020-11-06T16:59:48Zoai:estudogeral.uc.pt:10316/4112Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:19:19.023145Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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 https://hdl.handle.net/10316/4112
https://hdl.handle.net/10316/4112
https://doi.org/10.1016/s0360-8352(99)00089-3
url https://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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
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reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
_version_ 1833602318914813952

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