Generation of fuzzy mathematical morphologies

Fuzzy Mathematical Morphology aims to extend the binary morphological operators to grey-level images. In order to define the basic morphological operations fuzzy erosion, dilation, opening and closing, we introduce a general method based upon fuzzy implication and inclusion grade operators, includin...

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Detalles Bibliográficos
Autores: Burillo López, Pedro, Frago Paños, Noé Natalio, Fuentes González, Ramón
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2001
País:España
Institución:Universidad Pública de Navarra
Repositorio:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
OAI Identifier:oai:academica-e.unavarra.es:2454/23671
Acceso en línea:https://hdl.handle.net/2454/23671
Access Level:acceso abierto
Palabra clave:Fuzzy mathematical morphology
Inclusion grades
Erosion and dilation
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spelling Generation of fuzzy mathematical morphologiesBurillo López, PedroFrago Paños, Noé NatalioFuentes González, RamónFuzzy mathematical morphologyInclusion gradesErosion and dilationFuzzy Mathematical Morphology aims to extend the binary morphological operators to grey-level images. In order to define the basic morphological operations fuzzy erosion, dilation, opening and closing, we introduce a general method based upon fuzzy implication and inclusion grade operators, including as particular case, other ones existing in related literature In the definition of fuzzy erosion and dilation we use several fuzzy implications (Annexe A, Table of fuzzy implications), the paper includes a study on their practical effects on digital image processing. We also present some graphic examples of erosion and dilation with three different structuring elements B(i,j)=1, B(i,j)=0.7, B(i,j)=0.4, i,j∈{1,2,3} and various fuzzy implications.Universitat Politècnica de CatalunyaAutomática y ComputaciónAutomatika eta Konputazioa2001info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2454/23671reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarrainstname:Universidad Pública de NavarraInglésCreative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (CC BY-NC-ND 3.0 ES)https://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:academica-e.unavarra.es:2454/236712026-06-17T12:41:47Z
dc.title.none.fl_str_mv Generation of fuzzy mathematical morphologies
title Generation of fuzzy mathematical morphologies
spellingShingle Generation of fuzzy mathematical morphologies
Burillo López, Pedro
Fuzzy mathematical morphology
Inclusion grades
Erosion and dilation
title_short Generation of fuzzy mathematical morphologies
title_full Generation of fuzzy mathematical morphologies
title_fullStr Generation of fuzzy mathematical morphologies
title_full_unstemmed Generation of fuzzy mathematical morphologies
title_sort Generation of fuzzy mathematical morphologies
dc.creator.none.fl_str_mv Burillo López, Pedro
Frago Paños, Noé Natalio
Fuentes González, Ramón
author Burillo López, Pedro
author_facet Burillo López, Pedro
Frago Paños, Noé Natalio
Fuentes González, Ramón
author_role author
author2 Frago Paños, Noé Natalio
Fuentes González, Ramón
author2_role author
author
dc.contributor.none.fl_str_mv Automática y Computación
Automatika eta Konputazioa
dc.subject.none.fl_str_mv Fuzzy mathematical morphology
Inclusion grades
Erosion and dilation
topic Fuzzy mathematical morphology
Inclusion grades
Erosion and dilation
description Fuzzy Mathematical Morphology aims to extend the binary morphological operators to grey-level images. In order to define the basic morphological operations fuzzy erosion, dilation, opening and closing, we introduce a general method based upon fuzzy implication and inclusion grade operators, including as particular case, other ones existing in related literature In the definition of fuzzy erosion and dilation we use several fuzzy implications (Annexe A, Table of fuzzy implications), the paper includes a study on their practical effects on digital image processing. We also present some graphic examples of erosion and dilation with three different structuring elements B(i,j)=1, B(i,j)=0.7, B(i,j)=0.4, i,j∈{1,2,3} and various fuzzy implications.
publishDate 2001
dc.date.none.fl_str_mv 2001
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2454/23671
url https://hdl.handle.net/2454/23671
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (CC BY-NC-ND 3.0 ES)
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Creative Commons Reconocimiento-NoComercial-SinObraDerivada 3.0 España (CC BY-NC-ND 3.0 ES)
https://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
instname:Universidad Pública de Navarra
instname_str Universidad Pública de Navarra
reponame_str Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
collection Academica-e. Repositorio Institucional de la Universidad Pública de Navarra
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