Fuzziness measure approach to automatic histogram threshold
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.8/3551 |
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 to find a minima 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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Fuzziness measure approach to automatic histogram thresholdIn 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 to find a minima 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.CRC PressIC-OnlineLopes, Nuno VieiraBustince, HumbertoFilipe, VitorMelo-Pinto, Pedro2018-09-26T08:30:56Z2007-082007-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/3551eng9780415457774metadata only accessinfo: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:RCAAP2024-01-17T15:47:25Zoai:iconline.ipleiria.pt:10400.8/3551Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:47:37.677964Repositório 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 |
Fuzziness measure approach to automatic histogram threshold |
title |
Fuzziness measure approach to automatic histogram threshold |
spellingShingle |
Fuzziness measure approach to automatic histogram threshold Lopes, Nuno Vieira |
title_short |
Fuzziness measure approach to automatic histogram threshold |
title_full |
Fuzziness measure approach to automatic histogram threshold |
title_fullStr |
Fuzziness measure approach to automatic histogram threshold |
title_full_unstemmed |
Fuzziness measure approach to automatic histogram threshold |
title_sort |
Fuzziness measure approach to automatic histogram threshold |
author |
Lopes, Nuno Vieira |
author_facet |
Lopes, Nuno Vieira Bustince, Humberto Filipe, Vitor Melo-Pinto, Pedro |
author_role |
author |
author2 |
Bustince, Humberto Filipe, Vitor 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 Bustince, Humberto Filipe, Vitor Melo-Pinto, Pedro |
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 to find a minima 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 |
2007 |
dc.date.none.fl_str_mv |
2007-08 2007-08-01T00:00:00Z 2018-09-26T08:30:56Z |
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/10400.8/3551 |
url |
http://hdl.handle.net/10400.8/3551 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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9780415457774 |
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metadata only access info:eu-repo/semantics/openAccess |
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metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
CRC Press |
publisher.none.fl_str_mv |
CRC Press |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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