Automatic histogram threshold using fuzzy measures

Detalhes bibliográficos
Autor(a) principal: Lopes, Nuno Vieira
Data de Publicação: 2010
Outros Autores: Couto, Pedro M., Bustince, Humberto, Melo-Pinto, Pedro
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.8/3541
Resumo: In this paper, an automatic histogram threshold approach based on a fuzziness measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum of a criterion function are avoided. Similarity between gray levels is the key to find an optimal threshold. Two initial regions of gray levels, located at the boundaries of the histogram, are defined. Then, using an index of fuzziness, a similarity process is started to find the threshold point. A significant contrast between objects and background is assumed. Previous histogram equalization is used in small contrast images. No prior knowledge of the image is required.
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spelling Automatic histogram threshold using fuzzy measuresImage thresholdFuzzy logicLimite de imagemLógica difusaIn this paper, an automatic histogram threshold approach based on a fuzziness measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum of a criterion function are avoided. Similarity between gray levels is the key to find an optimal threshold. Two initial regions of gray levels, located at the boundaries of the histogram, are defined. Then, using an index of fuzziness, a similarity process is started to find the threshold point. A significant contrast between objects and background is assumed. Previous histogram equalization is used in small contrast images. No prior knowledge of the image is required.IEEE Transactions on Image ProcessingIC-OnlineLopes, Nuno VieiraCouto, Pedro M.Bustince, HumbertoMelo-Pinto, Pedro2018-09-19T14:53:37Z2010-012010-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3541eng1941-004210.1109/TIP.2009.2032349info: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:RCAAP2024-01-17T15:47:24Zoai:iconline.ipleiria.pt:10400.8/3541Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:37.162224Repositório 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 histogram threshold using fuzzy measures
title Automatic histogram threshold using fuzzy measures
spellingShingle Automatic histogram threshold using fuzzy measures
Lopes, Nuno Vieira
Image threshold
Fuzzy logic
Limite de imagem
Lógica difusa
title_short Automatic histogram threshold using fuzzy measures
title_full Automatic histogram threshold using fuzzy measures
title_fullStr Automatic histogram threshold using fuzzy measures
title_full_unstemmed Automatic histogram threshold using fuzzy measures
title_sort Automatic histogram threshold using fuzzy measures
author Lopes, Nuno Vieira
author_facet Lopes, Nuno Vieira
Couto, Pedro M.
Bustince, Humberto
Melo-Pinto, Pedro
author_role author
author2 Couto, Pedro M.
Bustince, Humberto
Melo-Pinto, Pedro
author2_role author
author
author
dc.contributor.none.fl_str_mv IC-Online
dc.contributor.author.fl_str_mv Lopes, Nuno Vieira
Couto, Pedro M.
Bustince, Humberto
Melo-Pinto, Pedro
dc.subject.por.fl_str_mv Image threshold
Fuzzy logic
Limite de imagem
Lógica difusa
topic Image threshold
Fuzzy logic
Limite de imagem
Lógica difusa
description In this paper, an automatic histogram threshold approach based on a fuzziness measure is presented. This work is an improvement of an existing method. Using fuzzy logic concepts, the problems involved in finding the minimum of a criterion function are avoided. Similarity between gray levels is the key to find an optimal threshold. Two initial regions of gray levels, located at the boundaries of the histogram, are defined. Then, using an index of fuzziness, a similarity process is started to find the threshold point. A significant contrast between objects and background is assumed. Previous histogram equalization is used in small contrast images. No prior knowledge of the image is required.
publishDate 2010
dc.date.none.fl_str_mv 2010-01
2010-01-01T00:00:00Z
2018-09-19T14:53:37Z
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://hdl.handle.net/10400.8/3541
url http://hdl.handle.net/10400.8/3541
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1941-0042
10.1109/TIP.2009.2032349
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 Transactions on Image Processing
publisher.none.fl_str_mv IEEE Transactions on Image Processing
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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