A vision-based system for automatic growing ring detection and measurement
Autor(a) principal: | |
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Data de Publicação: | 2004 |
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/10316/4106 https://doi.org/10.1016/j.cie.2003.12.014 |
Resumo: | An automatic visual inspection system for wood growing ring identification and measurement is described. Given the irregular contrast distributions in wood samples, the identification of these elements is not straightforward. Furthermore, it is observed that many rings exhibit very narrow widths. To overcome these problems, several new methods are introduced, namely at the local image scale definition and at the image segmentation levels. First, local scales are automatically computed and applied for ring center identification. This information is then used to reconstruct the noisy image signal, which is segmented using a local minimum distance-minimum cross-entropy principle. The system uses a reduced and intuitive set of user defined parameters; for this reason, it is easy to tune. |
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A vision-based system for automatic growing ring detection and measurementAutomatic visual inspection and measurementAutomatic scale definitionAdaptive image segmentationCross-entropyAn automatic visual inspection system for wood growing ring identification and measurement is described. Given the irregular contrast distributions in wood samples, the identification of these elements is not straightforward. Furthermore, it is observed that many rings exhibit very narrow widths. To overcome these problems, several new methods are introduced, namely at the local image scale definition and at the image segmentation levels. First, local scales are automatically computed and applied for ring center identification. This information is then used to reconstruct the noisy image signal, which is segmented using a local minimum distance-minimum cross-entropy principle. The system uses a reduced and intuitive set of user defined parameters; for this reason, it is easy to tune.http://www.sciencedirect.com/science/article/B6V27-4BVRP3J-1/1/0f36ed2003fa185c88265c0443b44f5c2004info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleaplication/PDFhttp://hdl.handle.net/10316/4106http://hdl.handle.net/10316/4106https://doi.org/10.1016/j.cie.2003.12.014engComputers & Industrial Engineering. 46:2 (2004) 347-354Vaz, C.Carvalho, P.Duarte, F.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:RCAAP2020-11-06T16:48:53Zoai:estudogeral.uc.pt:10316/4106Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:58:17.613978Repositório 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 |
A vision-based system for automatic growing ring detection and measurement |
title |
A vision-based system for automatic growing ring detection and measurement |
spellingShingle |
A vision-based system for automatic growing ring detection and measurement Vaz, C. Automatic visual inspection and measurement Automatic scale definition Adaptive image segmentation Cross-entropy |
title_short |
A vision-based system for automatic growing ring detection and measurement |
title_full |
A vision-based system for automatic growing ring detection and measurement |
title_fullStr |
A vision-based system for automatic growing ring detection and measurement |
title_full_unstemmed |
A vision-based system for automatic growing ring detection and measurement |
title_sort |
A vision-based system for automatic growing ring detection and measurement |
author |
Vaz, C. |
author_facet |
Vaz, C. Carvalho, P. Duarte, F. Dourado, A. |
author_role |
author |
author2 |
Carvalho, P. Duarte, F. Dourado, A. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Vaz, C. Carvalho, P. Duarte, F. Dourado, A. |
dc.subject.por.fl_str_mv |
Automatic visual inspection and measurement Automatic scale definition Adaptive image segmentation Cross-entropy |
topic |
Automatic visual inspection and measurement Automatic scale definition Adaptive image segmentation Cross-entropy |
description |
An automatic visual inspection system for wood growing ring identification and measurement is described. Given the irregular contrast distributions in wood samples, the identification of these elements is not straightforward. Furthermore, it is observed that many rings exhibit very narrow widths. To overcome these problems, several new methods are introduced, namely at the local image scale definition and at the image segmentation levels. First, local scales are automatically computed and applied for ring center identification. This information is then used to reconstruct the noisy image signal, which is segmented using a local minimum distance-minimum cross-entropy principle. The system uses a reduced and intuitive set of user defined parameters; for this reason, it is easy to tune. |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004 |
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/10316/4106 http://hdl.handle.net/10316/4106 https://doi.org/10.1016/j.cie.2003.12.014 |
url |
http://hdl.handle.net/10316/4106 https://doi.org/10.1016/j.cie.2003.12.014 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Computers & Industrial Engineering. 46:2 (2004) 347-354 |
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) 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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1799133873947279360 |