Automatic lane segmentation in TLC images using the continuous wavelet transform

Detalhes bibliográficos
Autor(a) principal: António Sousa
Data de Publicação: 2013
Outros Autores: Aurélio Campilho, Ana Maria Mendonça, Bruno Moreira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://repositorio-aberto.up.pt/handle/10216/76802
Resumo: This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.
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spelling Automatic lane segmentation in TLC images using the continuous wavelet transformEngenharia biomédica, Engenharia electrotécnica, electrónica e informáticaBiomedical enginnering, Electrical engineering, Electronic engineering, Information engineeringThis paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.20132013-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://repositorio-aberto.up.pt/handle/10216/76802eng1748-670X10.1155/2013/218415António SousaAurélio CampilhoAna Maria MendonçaBruno Moreirainfo: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:RCAAP2023-11-29T12:42:54Zoai:repositorio-aberto.up.pt:10216/76802Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:25:17.198964Repositório 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 Automatic lane segmentation in TLC images using the continuous wavelet transform
title Automatic lane segmentation in TLC images using the continuous wavelet transform
spellingShingle Automatic lane segmentation in TLC images using the continuous wavelet transform
António Sousa
Engenharia biomédica, Engenharia electrotécnica, electrónica e informática
Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering
title_short Automatic lane segmentation in TLC images using the continuous wavelet transform
title_full Automatic lane segmentation in TLC images using the continuous wavelet transform
title_fullStr Automatic lane segmentation in TLC images using the continuous wavelet transform
title_full_unstemmed Automatic lane segmentation in TLC images using the continuous wavelet transform
title_sort Automatic lane segmentation in TLC images using the continuous wavelet transform
author António Sousa
author_facet António Sousa
Aurélio Campilho
Ana Maria Mendonça
Bruno Moreira
author_role author
author2 Aurélio Campilho
Ana Maria Mendonça
Bruno Moreira
author2_role author
author
author
dc.contributor.author.fl_str_mv António Sousa
Aurélio Campilho
Ana Maria Mendonça
Bruno Moreira
dc.subject.por.fl_str_mv Engenharia biomédica, Engenharia electrotécnica, electrónica e informática
Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering
topic Engenharia biomédica, Engenharia electrotécnica, electrónica e informática
Biomedical enginnering, Electrical engineering, Electronic engineering, Information engineering
description This paper describes a new methodology for lane detection in Thin-Layer Chromatography images. An approach based on the continuous wavelet transform is used to enhance the relevant lane information contained in the intensity profile obtained from image data projection. Lane detection proceeds in three phases: the first obtains a set of candidate lanes, which are validated or removed in the second phase; in the third phase, lane limits are calculated, and subtle lanes are recovered. The superior performance of the new solution was confirmed by a comparison with three other methodologies previously described in the literature.
publishDate 2013
dc.date.none.fl_str_mv 2013
2013-01-01T00:00:00Z
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 https://repositorio-aberto.up.pt/handle/10216/76802
url https://repositorio-aberto.up.pt/handle/10216/76802
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1748-670X
10.1155/2013/218415
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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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