Border detection in digital images: An approach by fuzzy numbers
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/ISDA.2007.4389631 http://hdl.handle.net/11449/70023 |
Resumo: | The purpose of this paper is to introduce a new approach for edge detection in gray shaded images. The proposed approach is based on the fuzzy number theory. The idea is to deal with the uncertainties concerning the gray shades making up the image, and thus calculate the appropriateness of the pixels in relation to an homogeneous region around them. The pixels not belonging to the region are then classified as border pixels. The results have shown that the technique is simple, computationally efficient and with good results when compared with both the traditional border detectors and the fuzzy edge detectors. © 2007 IEEE. |
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Border detection in digital images: An approach by fuzzy numbersAlgebraDetectorsEdge detectionFuzzy logicFuzzy rulesFuzzy setsImage enhancementIntelligent controlNumber theoryPixelsSystems analysisBorder detectionComputationally efficientDigital imagingEdge detectorsFuzzy numbersInternational conferencesNew approachesSystems designIntelligent systemsThe purpose of this paper is to introduce a new approach for edge detection in gray shaded images. The proposed approach is based on the fuzzy number theory. The idea is to deal with the uncertainties concerning the gray shades making up the image, and thus calculate the appropriateness of the pixels in relation to an homogeneous region around them. The pixels not belonging to the region are then classified as border pixels. The results have shown that the technique is simple, computationally efficient and with good results when compared with both the traditional border detectors and the fuzzy edge detectors. © 2007 IEEE.IBILCE-Sao Paulo State University, Rua Cristovao Colombo, 2265 - Jardim Nazareth, 150555-000 Sao Jose do Rio Preto - SPEESC-University of Sao Paulo, Av. Trabalhador Sao-carlence, 400 - centro, 1356-590 Sao carlos - SPIBILCE-Sao Paulo State University, Rua Cristovao Colombo, 2265 - Jardim Nazareth, 150555-000 Sao Jose do Rio Preto - SPUniversidade Estadual Paulista (Unesp)Universidade de São Paulo (USP)Boaventura, Ines Ap Gasparotto [UNESP]Gonzaga, Adilson2014-05-27T11:22:39Z2014-05-27T11:22:39Z2007-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject341-346http://dx.doi.org/10.1109/ISDA.2007.4389631Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 341-346.http://hdl.handle.net/11449/7002310.1109/ISDA.2007.4389631WOS:0002522236000552-s2.0-48349104769Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007info:eu-repo/semantics/openAccess2021-10-23T21:37:53Zoai:repositorio.unesp.br:11449/70023Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:57:16.283451Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Border detection in digital images: An approach by fuzzy numbers |
title |
Border detection in digital images: An approach by fuzzy numbers |
spellingShingle |
Border detection in digital images: An approach by fuzzy numbers Boaventura, Ines Ap Gasparotto [UNESP] Algebra Detectors Edge detection Fuzzy logic Fuzzy rules Fuzzy sets Image enhancement Intelligent control Number theory Pixels Systems analysis Border detection Computationally efficient Digital imaging Edge detectors Fuzzy numbers International conferences New approaches Systems design Intelligent systems |
title_short |
Border detection in digital images: An approach by fuzzy numbers |
title_full |
Border detection in digital images: An approach by fuzzy numbers |
title_fullStr |
Border detection in digital images: An approach by fuzzy numbers |
title_full_unstemmed |
Border detection in digital images: An approach by fuzzy numbers |
title_sort |
Border detection in digital images: An approach by fuzzy numbers |
author |
Boaventura, Ines Ap Gasparotto [UNESP] |
author_facet |
Boaventura, Ines Ap Gasparotto [UNESP] Gonzaga, Adilson |
author_role |
author |
author2 |
Gonzaga, Adilson |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) Universidade de São Paulo (USP) |
dc.contributor.author.fl_str_mv |
Boaventura, Ines Ap Gasparotto [UNESP] Gonzaga, Adilson |
dc.subject.por.fl_str_mv |
Algebra Detectors Edge detection Fuzzy logic Fuzzy rules Fuzzy sets Image enhancement Intelligent control Number theory Pixels Systems analysis Border detection Computationally efficient Digital imaging Edge detectors Fuzzy numbers International conferences New approaches Systems design Intelligent systems |
topic |
Algebra Detectors Edge detection Fuzzy logic Fuzzy rules Fuzzy sets Image enhancement Intelligent control Number theory Pixels Systems analysis Border detection Computationally efficient Digital imaging Edge detectors Fuzzy numbers International conferences New approaches Systems design Intelligent systems |
description |
The purpose of this paper is to introduce a new approach for edge detection in gray shaded images. The proposed approach is based on the fuzzy number theory. The idea is to deal with the uncertainties concerning the gray shades making up the image, and thus calculate the appropriateness of the pixels in relation to an homogeneous region around them. The pixels not belonging to the region are then classified as border pixels. The results have shown that the technique is simple, computationally efficient and with good results when compared with both the traditional border detectors and the fuzzy edge detectors. © 2007 IEEE. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-12-01 2014-05-27T11:22:39Z 2014-05-27T11:22:39Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/ISDA.2007.4389631 Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 341-346. http://hdl.handle.net/11449/70023 10.1109/ISDA.2007.4389631 WOS:000252223600055 2-s2.0-48349104769 |
url |
http://dx.doi.org/10.1109/ISDA.2007.4389631 http://hdl.handle.net/11449/70023 |
identifier_str_mv |
Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007, p. 341-346. 10.1109/ISDA.2007.4389631 WOS:000252223600055 2-s2.0-48349104769 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Proceedings of The 7th International Conference on Intelligent Systems Design and Applications, ISDA 2007 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
341-346 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129377978810368 |