CrackIT - An image processing toolbox for crack detection and characterization

Detalhes bibliográficos
Autor(a) principal: Oliveira, Henrique
Data de Publicação: 2015
Outros Autores: Correia, Paulo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/20.500.12207/4455
Resumo: This paper presents a comprehensive set of image processing algorithms for detection and characterization of road pavement surface crack distresses, which is being made available to the research community. The toolbox, in the Matlab environment, includes algorithms to preprocess images, to detect cracks and characterize them into types, based on image processing and pattern recognition techniques, as well as modules devoted to the performance evaluation of crack detection and characterization solutions. A sample database of 84 pavement surface images taken during a traditional road survey is provided with the toolbox, since no pavement image databases are publicly available for crack detection and characterization evaluation purposes. Results achieved applying the proposed toolbox to the sample database are discussed, illustrating the potential of the available algorithms.
id RCAP_cdb5a3ca3c0a53c9369a40892cf81c06
oai_identifier_str oai:repositorio.ipbeja.pt:20.500.12207/4455
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling CrackIT - An image processing toolbox for crack detection and characterizationCrack detection and characterizationImage processingPattern recognitionRoad surveyToolboxThis paper presents a comprehensive set of image processing algorithms for detection and characterization of road pavement surface crack distresses, which is being made available to the research community. The toolbox, in the Matlab environment, includes algorithms to preprocess images, to detect cracks and characterize them into types, based on image processing and pattern recognition techniques, as well as modules devoted to the performance evaluation of crack detection and characterization solutions. A sample database of 84 pavement surface images taken during a traditional road survey is provided with the toolbox, since no pavement image databases are publicly available for crack detection and characterization evaluation purposes. Results achieved applying the proposed toolbox to the sample database are discussed, illustrating the potential of the available algorithms.IEEE2015-07-08T09:48:03Z2015-07-01T00:00:00Z2015-01-28T00:00:00Z2015-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12207/4455eng978-147995751-4metadata only accessinfo:eu-repo/semantics/openAccessOliveira, HenriqueCorreia, Pauloreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-06-23T07:46:50Zoai:repositorio.ipbeja.pt:20.500.12207/4455Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T14:58:37.025946Repositório 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 CrackIT - An image processing toolbox for crack detection and characterization
title CrackIT - An image processing toolbox for crack detection and characterization
spellingShingle CrackIT - An image processing toolbox for crack detection and characterization
Oliveira, Henrique
Crack detection and characterization
Image processing
Pattern recognition
Road survey
Toolbox
title_short CrackIT - An image processing toolbox for crack detection and characterization
title_full CrackIT - An image processing toolbox for crack detection and characterization
title_fullStr CrackIT - An image processing toolbox for crack detection and characterization
title_full_unstemmed CrackIT - An image processing toolbox for crack detection and characterization
title_sort CrackIT - An image processing toolbox for crack detection and characterization
author Oliveira, Henrique
author_facet Oliveira, Henrique
Correia, Paulo
author_role author
author2 Correia, Paulo
author2_role author
dc.contributor.author.fl_str_mv Oliveira, Henrique
Correia, Paulo
dc.subject.por.fl_str_mv Crack detection and characterization
Image processing
Pattern recognition
Road survey
Toolbox
topic Crack detection and characterization
Image processing
Pattern recognition
Road survey
Toolbox
description This paper presents a comprehensive set of image processing algorithms for detection and characterization of road pavement surface crack distresses, which is being made available to the research community. The toolbox, in the Matlab environment, includes algorithms to preprocess images, to detect cracks and characterize them into types, based on image processing and pattern recognition techniques, as well as modules devoted to the performance evaluation of crack detection and characterization solutions. A sample database of 84 pavement surface images taken during a traditional road survey is provided with the toolbox, since no pavement image databases are publicly available for crack detection and characterization evaluation purposes. Results achieved applying the proposed toolbox to the sample database are discussed, illustrating the potential of the available algorithms.
publishDate 2015
dc.date.none.fl_str_mv 2015-07-08T09:48:03Z
2015-07-01T00:00:00Z
2015-01-28T00:00:00Z
2015-01-28T00:00:00Z
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/20.500.12207/4455
url http://hdl.handle.net/20.500.12207/4455
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-147995751-4
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
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
_version_ 1799129859436314624

Registros relacionados