Automatic histogram threshold using fuzzy measures

Bibliographic Details
Main Author: Lopes, Nuno Vieira
Publication Date: 2010
Other Authors: Couto, Pedro M., Bustince, Humberto, Melo-Pinto, Pedro
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.8/3541
Summary: 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 ProcessingRepositório IC-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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T15:10:29Zoai:iconline.ipleiria.pt:10400.8/3541Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:49:36.735927Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
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 Repositório 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:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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