Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools

Autores
Blotta, Eduardo Luis; Bouchet, Agustina; Brun, Marcel; Ballarin, Virginia Laura
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper we characterize dynamic speckle signals, obtaining selective information through the differentiation of morphological patterns of the temporal history of each pixel, using the morphological granulometric function. This method is applied to the analysis of images of apples and corn seeds. Studies on the first ones were focused on the activity on their surface, related to healthy and damaged areas, while for seeds on the viability of the embryo and endosperm. Subsequently, the analysis was repeated using fuzzy mathematical morphology techniques, comparing the results obtained by both methods.
Fil: Blotta, Eduardo Luis. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
Dynamic Speckle
Fuzzy Mathematical Morphology
Mathematical Morphology
Morphological Granulometric Function
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/80361
Acceder
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network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology toolsBlotta, Eduardo LuisBouchet, AgustinaBrun, MarcelBallarin, Virginia LauraDynamic SpeckleFuzzy Mathematical MorphologyMathematical MorphologyMorphological Granulometric Functionhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2In this paper we characterize dynamic speckle signals, obtaining selective information through the differentiation of morphological patterns of the temporal history of each pixel, using the morphological granulometric function. This method is applied to the analysis of images of apples and corn seeds. Studies on the first ones were focused on the activity on their surface, related to healthy and damaged areas, while for seeds on the viability of the embryo and endosperm. Subsequently, the analysis was repeated using fuzzy mathematical morphology techniques, comparing the results obtained by both methods.Fil: Blotta, Eduardo Luis. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaFil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; ArgentinaFil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/80361Blotta, Eduardo Luis; Bouchet, Agustina; Brun, Marcel; Ballarin, Virginia Laura; Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools; Elsevier Science; Signal Processing; 93; 7; 7-2013; 1864-18700165-1684CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0165168413000042info:eu-repo/semantics/altIdentifier/doi/10.1016/j.sigpro.2013.01.001info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:04:04Zoai:ri.conicet.gov.ar:11336/80361instacron: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 10:04:05.119CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
title Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
spellingShingle Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
Blotta, Eduardo Luis
Dynamic Speckle
Fuzzy Mathematical Morphology
Mathematical Morphology
Morphological Granulometric Function
title_short Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
title_full Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
title_fullStr Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
title_full_unstemmed Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
title_sort Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools
dc.creator.none.fl_str_mv Blotta, Eduardo Luis
Bouchet, Agustina
Brun, Marcel
Ballarin, Virginia Laura
author Blotta, Eduardo Luis
author_facet Blotta, Eduardo Luis
Bouchet, Agustina
Brun, Marcel
Ballarin, Virginia Laura
author_role author
author2 Bouchet, Agustina
Brun, Marcel
Ballarin, Virginia Laura
author2_role author
author
author
dc.subject.none.fl_str_mv Dynamic Speckle
Fuzzy Mathematical Morphology
Mathematical Morphology
Morphological Granulometric Function
topic Dynamic Speckle
Fuzzy Mathematical Morphology
Mathematical Morphology
Morphological Granulometric Function
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper we characterize dynamic speckle signals, obtaining selective information through the differentiation of morphological patterns of the temporal history of each pixel, using the morphological granulometric function. This method is applied to the analysis of images of apples and corn seeds. Studies on the first ones were focused on the activity on their surface, related to healthy and damaged areas, while for seeds on the viability of the embryo and endosperm. Subsequently, the analysis was repeated using fuzzy mathematical morphology techniques, comparing the results obtained by both methods.
Fil: Blotta, Eduardo Luis. Universidad Nacional de Mar del Plata. Facultad de Ingeniería. Departamento de Electronica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Bouchet, Agustina. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Fil: Brun, Marcel. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina
Fil: Ballarin, Virginia Laura. Universidad Nacional de Mar del Plata. Facultad de Ingeniería; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description In this paper we characterize dynamic speckle signals, obtaining selective information through the differentiation of morphological patterns of the temporal history of each pixel, using the morphological granulometric function. This method is applied to the analysis of images of apples and corn seeds. Studies on the first ones were focused on the activity on their surface, related to healthy and damaged areas, while for seeds on the viability of the embryo and endosperm. Subsequently, the analysis was repeated using fuzzy mathematical morphology techniques, comparing the results obtained by both methods.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
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/11336/80361
Blotta, Eduardo Luis; Bouchet, Agustina; Brun, Marcel; Ballarin, Virginia Laura; Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools; Elsevier Science; Signal Processing; 93; 7; 7-2013; 1864-1870
0165-1684
CONICET Digital
CONICET
url http://hdl.handle.net/11336/80361
identifier_str_mv Blotta, Eduardo Luis; Bouchet, Agustina; Brun, Marcel; Ballarin, Virginia Laura; Characterization of bio-dynamic speckles through classical and fuzzy mathematical morphology tools; Elsevier Science; Signal Processing; 93; 7; 7-2013; 1864-1870
0165-1684
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.sciencedirect.com/science/article/pii/S0165168413000042
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.sigpro.2013.01.001
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier Science
publisher.none.fl_str_mv Elsevier Science
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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