Cork parquet quality control vision system based on texture segmentation and fuzzy grammar
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/17657 |
Resumo: | This paper presents a quality control vision system developed for the inspection of cork parquets that is already applied in the Portuguese cork industry. It is devoted specifically to the most critical quality issues: visibility of the lowest layer (BASE) on the noble layer (UPPER) and the homogeneity of this noble layer. Since these aspects are related with the texture of the raw material, the system was based on texture segmentation techniques. Features used were extracted from detail images of the wavelet transform. The classifier consists of a fuzzy grammar inference system. The segmentation procedure revealed a good performance indicated by high classification rates. Behavior in the industrial environment has been demonstrating high performance, revealing good perspectives for full spread industrialization. |
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7160 |
spelling |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammarComputer visionFuzzy grammarIndustrial applicationInspection systemTexture segmentationScience & TechnologyThis paper presents a quality control vision system developed for the inspection of cork parquets that is already applied in the Portuguese cork industry. It is devoted specifically to the most critical quality issues: visibility of the lowest layer (BASE) on the noble layer (UPPER) and the homogeneity of this noble layer. Since these aspects are related with the texture of the raw material, the system was based on texture segmentation techniques. Features used were extracted from detail images of the wavelet transform. The classifier consists of a fuzzy grammar inference system. The segmentation procedure revealed a good performance indicated by high classification rates. Behavior in the industrial environment has been demonstrating high performance, revealing good perspectives for full spread industrialization.IEEEUniversidade do MinhoFerreira, Manuel João OliveiraSantos, CristinaMonteiro, João L.2009-032009-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/17657eng0278-004610.1109/TIE.2008.2011619http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4796889info: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:RCAAP2023-07-21T11:54:11Zoai:repositorium.sdum.uminho.pt:1822/17657Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:43:37.794802Repositório 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 |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
title |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
spellingShingle |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar Ferreira, Manuel João Oliveira Computer vision Fuzzy grammar Industrial application Inspection system Texture segmentation Science & Technology |
title_short |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
title_full |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
title_fullStr |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
title_full_unstemmed |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
title_sort |
Cork parquet quality control vision system based on texture segmentation and fuzzy grammar |
author |
Ferreira, Manuel João Oliveira |
author_facet |
Ferreira, Manuel João Oliveira Santos, Cristina Monteiro, João L. |
author_role |
author |
author2 |
Santos, Cristina Monteiro, João L. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Ferreira, Manuel João Oliveira Santos, Cristina Monteiro, João L. |
dc.subject.por.fl_str_mv |
Computer vision Fuzzy grammar Industrial application Inspection system Texture segmentation Science & Technology |
topic |
Computer vision Fuzzy grammar Industrial application Inspection system Texture segmentation Science & Technology |
description |
This paper presents a quality control vision system developed for the inspection of cork parquets that is already applied in the Portuguese cork industry. It is devoted specifically to the most critical quality issues: visibility of the lowest layer (BASE) on the noble layer (UPPER) and the homogeneity of this noble layer. Since these aspects are related with the texture of the raw material, the system was based on texture segmentation techniques. Features used were extracted from detail images of the wavelet transform. The classifier consists of a fuzzy grammar inference system. The segmentation procedure revealed a good performance indicated by high classification rates. Behavior in the industrial environment has been demonstrating high performance, revealing good perspectives for full spread industrialization. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-03 2009-03-01T00:00:00Z |
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/1822/17657 |
url |
http://hdl.handle.net/1822/17657 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0278-0046 10.1109/TIE.2008.2011619 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4796889 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
IEEE |
publisher.none.fl_str_mv |
IEEE |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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1799132183657447424 |