Staff detection with stable paths

Detalhes bibliográficos
Autor(a) principal: Cardoso, Jaime S.
Data de Publicação: 2009
Outros Autores: Rebelo, Ana, Capela, Artur, Guedes, Carlos, Costa, Joaquim Pinto da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/11328/2503
Resumo: The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.
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spelling Staff detection with stable pathsMusicOptical character recognitionDocument image processingImage analysisThe preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.IEEE2019-01-03T18:01:19Z2009-01-01T00:00:00Z2009info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/11328/2503eng10.1109/TPAMI.2009.34Cardoso, Jaime S.Rebelo, AnaCapela, ArturGuedes, CarlosCosta, Joaquim Pinto dainfo: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:RCAAP2023-06-15T02:10:50ZPortal AgregadorONG
dc.title.none.fl_str_mv Staff detection with stable paths
title Staff detection with stable paths
spellingShingle Staff detection with stable paths
Cardoso, Jaime S.
Music
Optical character recognition
Document image processing
Image analysis
title_short Staff detection with stable paths
title_full Staff detection with stable paths
title_fullStr Staff detection with stable paths
title_full_unstemmed Staff detection with stable paths
title_sort Staff detection with stable paths
author Cardoso, Jaime S.
author_facet Cardoso, Jaime S.
Rebelo, Ana
Capela, Artur
Guedes, Carlos
Costa, Joaquim Pinto da
author_role author
author2 Rebelo, Ana
Capela, Artur
Guedes, Carlos
Costa, Joaquim Pinto da
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cardoso, Jaime S.
Rebelo, Ana
Capela, Artur
Guedes, Carlos
Costa, Joaquim Pinto da
dc.subject.por.fl_str_mv Music
Optical character recognition
Document image processing
Image analysis
topic Music
Optical character recognition
Document image processing
Image analysis
description The preservation of musical works produced in the past requires their digitalization and transformation into a machine-readable format. The processing of handwritten musical scores by computers remains far from ideal. One of the fundamental stages to carry out this task is the staff line detection. We investigate a general-purpose, knowledge-free method for the automatic detection of music staff lines based on a stable path approach. Lines affected by curvature, discontinuities, and inclination are robustly detected. Experimental results show that the proposed technique consistently outperforms well-established algorithms.
publishDate 2009
dc.date.none.fl_str_mv 2009-01-01T00:00:00Z
2009
2019-01-03T18:01:19Z
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/11328/2503
url http://hdl.handle.net/11328/2503
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1109/TPAMI.2009.34
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
repository.mail.fl_str_mv
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