Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images

Autores
Katz, Román; Delrieux, Claudio
Año de publicación
2003
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Border extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Since local processing schemes (i.e., spatial filltering) are not appropriate for border extraction in noisy images, global and intelligent mechanisms are required to deal with this situation. Some heuristic algorithms that apply jointly local operators and some kind of optimization criterion have been successfully applied to treat images corrupted by additive noise. However, the behavior of these mechanisms is considerably undermined when managing images with multiplicative (speckle) noise. In this paper we present a gradient-based evolutionary algorithm that can achieve convenient boundary extraction in digital images with additive noise, and that can be successfully extended to operate with non-additive noisy images as well.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Border Extraction
Evolutionary Algorithm
Noisy Images
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/185209
Acceder
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network_name_str SEDICI (UNLP)
spelling Enhanced Evolutionary Algorithm for Border Extraction in Noisy ImagesKatz, RománDelrieux, ClaudioCiencias InformáticasBorder ExtractionEvolutionary AlgorithmNoisy ImagesBorder extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Since local processing schemes (i.e., spatial filltering) are not appropriate for border extraction in noisy images, global and intelligent mechanisms are required to deal with this situation. Some heuristic algorithms that apply jointly local operators and some kind of optimization criterion have been successfully applied to treat images corrupted by additive noise. However, the behavior of these mechanisms is considerably undermined when managing images with multiplicative (speckle) noise. In this paper we present a gradient-based evolutionary algorithm that can achieve convenient boundary extraction in digital images with additive noise, and that can be successfully extended to operate with non-additive noisy images as well.Sociedad Argentina de Informática e Investigación Operativa2003-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/185209enginfo:eu-repo/semantics/altIdentifier/issn/1666-1079info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T17:31:35Zoai:sedici.unlp.edu.ar:10915/185209Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 17:31:35.378SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
title Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
spellingShingle Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
Katz, Román
Ciencias Informáticas
Border Extraction
Evolutionary Algorithm
Noisy Images
title_short Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
title_full Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
title_fullStr Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
title_full_unstemmed Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
title_sort Enhanced Evolutionary Algorithm for Border Extraction in Noisy Images
dc.creator.none.fl_str_mv Katz, Román
Delrieux, Claudio
author Katz, Román
author_facet Katz, Román
Delrieux, Claudio
author_role author
author2 Delrieux, Claudio
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Border Extraction
Evolutionary Algorithm
Noisy Images
topic Ciencias Informáticas
Border Extraction
Evolutionary Algorithm
Noisy Images
dc.description.none.fl_txt_mv Border extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Since local processing schemes (i.e., spatial filltering) are not appropriate for border extraction in noisy images, global and intelligent mechanisms are required to deal with this situation. Some heuristic algorithms that apply jointly local operators and some kind of optimization criterion have been successfully applied to treat images corrupted by additive noise. However, the behavior of these mechanisms is considerably undermined when managing images with multiplicative (speckle) noise. In this paper we present a gradient-based evolutionary algorithm that can achieve convenient boundary extraction in digital images with additive noise, and that can be successfully extended to operate with non-additive noisy images as well.
Sociedad Argentina de Informática e Investigación Operativa
description Border extraction is an important procedure associated with recognition and interpretation tasks in digital image processing and computer vision. Since local processing schemes (i.e., spatial filltering) are not appropriate for border extraction in noisy images, global and intelligent mechanisms are required to deal with this situation. Some heuristic algorithms that apply jointly local operators and some kind of optimization criterion have been successfully applied to treat images corrupted by additive noise. However, the behavior of these mechanisms is considerably undermined when managing images with multiplicative (speckle) noise. In this paper we present a gradient-based evolutionary algorithm that can achieve convenient boundary extraction in digital images with additive noise, and that can be successfully extended to operate with non-additive noisy images as well.
publishDate 2003
dc.date.none.fl_str_mv 2003-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/185209
url http://sedici.unlp.edu.ar/handle/10915/185209
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1079
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
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collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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