Automatic Lane Segmentation in TLC Images Using the Continuous Wavelet Transform

Detalhes bibliográficos
Autor(a) principal: Moreira,B
Data de Publicação: 2013
Outros Autores: Sousa,A, Ana Maria Mendonça, Aurélio Campilho
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.inesctec.pt/handle/123456789/6028
http://dx.doi.org/10.1155/2013/218415
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 TransformThis 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.2018-01-13T18:36:37Z2013-01-01T00:00:00Z2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/6028http://dx.doi.org/10.1155/2013/218415engMoreira,BSousa,AAna Maria MendonçaAurélio Campilhoinfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-05-15T10:20:06Zoai:repositorio.inesctec.pt:123456789/6028Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:52:41.069666Repositório 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
Moreira,B
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 Moreira,B
author_facet Moreira,B
Sousa,A
Ana Maria Mendonça
Aurélio Campilho
author_role author
author2 Sousa,A
Ana Maria Mendonça
Aurélio Campilho
author2_role author
author
author
dc.contributor.author.fl_str_mv Moreira,B
Sousa,A
Ana Maria Mendonça
Aurélio Campilho
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 2013-01-01T00:00:00Z
2013
2018-01-13T18:36:37Z
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://repositorio.inesctec.pt/handle/123456789/6028
http://dx.doi.org/10.1155/2013/218415
url http://repositorio.inesctec.pt/handle/123456789/6028
http://dx.doi.org/10.1155/2013/218415
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
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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
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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
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