Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI

Autores
Bouchet, Agustina; Benalcazar Palacios, Freddy; Brun, Marcel; Ballarin, Virginia Laura
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Despite a large amount of publications on Fuzzy Mathematical Morphology, little effort was done on systematic evaluation of the performance of this technique. The goal of this work is to compare the robustness against noise of Fuzzy and non Fuzzy Morphological operators when applied to noisy images. Magnetic Resonance Images (MRI) of the brain are a kind of images containing some characteristics that make fuzzy operators an interesting choice, because of their intrinsic noise and imprecision. The robustness was evaluated as the degree in which the results of the operators are not affected by artificial noise in the images. In the analysis we compared different implementation of Fuzzy Mathematical Morphology, and observed that in most of the cases they show higher robustness against noise than the classical morphological operators
Fil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Benalcazar Palacios, Freddy. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Escuela Superior Politécnica de Chimborazo; Ecuador
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Materia
Biomedical Images
Digital Image Processing
Mathematical Morphology
Fuzzy Mathematical Morphology
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/25766
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRIBouchet, AgustinaBenalcazar Palacios, FreddyBrun, MarcelBallarin, Virginia LauraBiomedical ImagesDigital Image ProcessingMathematical MorphologyFuzzy Mathematical Morphologyhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Despite a large amount of publications on Fuzzy Mathematical Morphology, little effort was done on systematic evaluation of the performance of this technique. The goal of this work is to compare the robustness against noise of Fuzzy and non Fuzzy Morphological operators when applied to noisy images. Magnetic Resonance Images (MRI) of the brain are a kind of images containing some characteristics that make fuzzy operators an interesting choice, because of their intrinsic noise and imprecision. The robustness was evaluated as the degree in which the results of the operators are not affected by artificial noise in the images. In the analysis we compared different implementation of Fuzzy Mathematical Morphology, and observed that in most of the cases they show higher robustness against noise than the classical morphological operatorsFil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Benalcazar Palacios, Freddy. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Escuela Superior Politécnica de Chimborazo; EcuadorFil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaPlanta Piloto de Ingeniería Química2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/25766Bouchet, Agustina; Benalcazar Palacios, Freddy; Brun, Marcel; Ballarin, Virginia Laura; Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 3; 2-2014; 231-2360327-07931851-8796CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/i44_03.htminfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:44:01Zoai:ri.conicet.gov.ar:11336/25766instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:44:01.339CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
title Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
spellingShingle Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
Bouchet, Agustina
Biomedical Images
Digital Image Processing
Mathematical Morphology
Fuzzy Mathematical Morphology
title_short Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
title_full Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
title_fullStr Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
title_full_unstemmed Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
title_sort Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI
dc.creator.none.fl_str_mv Bouchet, Agustina
Benalcazar Palacios, Freddy
Brun, Marcel
Ballarin, Virginia Laura
author Bouchet, Agustina
author_facet Bouchet, Agustina
Benalcazar Palacios, Freddy
Brun, Marcel
Ballarin, Virginia Laura
author_role author
author2 Benalcazar Palacios, Freddy
Brun, Marcel
Ballarin, Virginia Laura
author2_role author
author
author
dc.subject.none.fl_str_mv Biomedical Images
Digital Image Processing
Mathematical Morphology
Fuzzy Mathematical Morphology
topic Biomedical Images
Digital Image Processing
Mathematical Morphology
Fuzzy Mathematical Morphology
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Despite a large amount of publications on Fuzzy Mathematical Morphology, little effort was done on systematic evaluation of the performance of this technique. The goal of this work is to compare the robustness against noise of Fuzzy and non Fuzzy Morphological operators when applied to noisy images. Magnetic Resonance Images (MRI) of the brain are a kind of images containing some characteristics that make fuzzy operators an interesting choice, because of their intrinsic noise and imprecision. The robustness was evaluated as the degree in which the results of the operators are not affected by artificial noise in the images. In the analysis we compared different implementation of Fuzzy Mathematical Morphology, and observed that in most of the cases they show higher robustness against noise than the classical morphological operators
Fil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Benalcazar Palacios, Freddy. Comisión Nacional de Energía Atómica. Gerencia del Área de Energía Nuclear. Instituto Balseiro; Argentina. Escuela Superior Politécnica de Chimborazo; Ecuador
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
description Despite a large amount of publications on Fuzzy Mathematical Morphology, little effort was done on systematic evaluation of the performance of this technique. The goal of this work is to compare the robustness against noise of Fuzzy and non Fuzzy Morphological operators when applied to noisy images. Magnetic Resonance Images (MRI) of the brain are a kind of images containing some characteristics that make fuzzy operators an interesting choice, because of their intrinsic noise and imprecision. The robustness was evaluated as the degree in which the results of the operators are not affected by artificial noise in the images. In the analysis we compared different implementation of Fuzzy Mathematical Morphology, and observed that in most of the cases they show higher robustness against noise than the classical morphological operators
publishDate 2014
dc.date.none.fl_str_mv 2014-02
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/25766
Bouchet, Agustina; Benalcazar Palacios, Freddy; Brun, Marcel; Ballarin, Virginia Laura; Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 3; 2-2014; 231-236
0327-0793
1851-8796
CONICET Digital
CONICET
url http://hdl.handle.net/11336/25766
identifier_str_mv Bouchet, Agustina; Benalcazar Palacios, Freddy; Brun, Marcel; Ballarin, Virginia Laura; Performance Analysis of Fuzzy Mathematical Morphology Operators on noisy MRI; Planta Piloto de Ingeniería Química; Latin American Applied Research; 44; 3; 2-2014; 231-236
0327-0793
1851-8796
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.laar.uns.edu.ar/indexes/i44_03.htm
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Planta Piloto de Ingeniería Química
publisher.none.fl_str_mv Planta Piloto de Ingeniería Química
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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