An automatic optical sensor for vessels and fibbers quality inspection in pulp production
Main Author: | |
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Publication Date: | 1999 |
Other Authors: | , |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | https://hdl.handle.net/10316/4113 https://doi.org/10.1016/S0360-8352(99)00092-3 |
Summary: | Wood quality assessment is an important issue in the pulp and paper industry. In this paper an automatic visual inspection system for wood structural quality measurement is described. To improve statistical image segmentation a new logarithm based global contrast enhancement technique is described. Region identification and reconstruction is performed based on local morphological operators with constrained merge operations. A measurement technique, build-up upon a constrained optimisation problem, is described for fibber wall width computation. The method proves computational efficiency. The described inspection system uses only two control parameters. |
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An automatic optical sensor for vessels and fibbers quality inspection in pulp productionQuality ControlProduction SystemsAutomatic Visual InspectionVision and Image ProcessingContrast EnhancementMicroscope Image AnalysesPulp and PaperWood quality assessment is an important issue in the pulp and paper industry. In this paper an automatic visual inspection system for wood structural quality measurement is described. To improve statistical image segmentation a new logarithm based global contrast enhancement technique is described. Region identification and reconstruction is performed based on local morphological operators with constrained merge operations. A measurement technique, build-up upon a constrained optimisation problem, is described for fibber wall width computation. The method proves computational efficiency. The described inspection system uses only two control parameters.http://www.sciencedirect.com/science/article/B6V27-3XR260K-2X/1/ec9883418b48742462509747b052093f1999info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttps://hdl.handle.net/10316/4113https://hdl.handle.net/10316/4113https://doi.org/10.1016/S0360-8352(99)00092-3engComputers & Industrial Engineering. 37:1-2 (1999) 355-358Carvalho, P.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:10316/4113Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T05:19:19.102413Repositórios 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 optical sensor for vessels and fibbers quality inspection in pulp production |
title |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
spellingShingle |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production Carvalho, P. Quality Control Production Systems Automatic Visual Inspection Vision and Image Processing Contrast Enhancement Microscope Image Analyses Pulp and Paper |
title_short |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
title_full |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
title_fullStr |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
title_full_unstemmed |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
title_sort |
An automatic optical sensor for vessels and fibbers quality inspection in pulp production |
author |
Carvalho, P. |
author_facet |
Carvalho, P. Araújo, H. Dourado, A. |
author_role |
author |
author2 |
Araújo, H. Dourado, A. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Carvalho, P. Araújo, H. Dourado, A. |
dc.subject.por.fl_str_mv |
Quality Control Production Systems Automatic Visual Inspection Vision and Image Processing Contrast Enhancement Microscope Image Analyses Pulp and Paper |
topic |
Quality Control Production Systems Automatic Visual Inspection Vision and Image Processing Contrast Enhancement Microscope Image Analyses Pulp and Paper |
description |
Wood quality assessment is an important issue in the pulp and paper industry. In this paper an automatic visual inspection system for wood structural quality measurement is described. To improve statistical image segmentation a new logarithm based global contrast enhancement technique is described. Region identification and reconstruction is performed based on local morphological operators with constrained merge operations. A measurement technique, build-up upon a constrained optimisation problem, is described for fibber wall width computation. The method proves computational efficiency. The described inspection system uses only two control parameters. |
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/10316/4113 https://hdl.handle.net/10316/4113 https://doi.org/10.1016/S0360-8352(99)00092-3 |
url |
https://hdl.handle.net/10316/4113 https://doi.org/10.1016/S0360-8352(99)00092-3 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Computers & Industrial Engineering. 37:1-2 (1999) 355-358 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
aplication/PDF |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833602318916911104 |