Set of bilateral and radial symmetry shape descriptor based on contour information

Autores
Revollo Sarmiento, Natalia Veronica; Delrieux, Claudio Augusto; González José, Rolando
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail to distinguish among very similar objects that they appear very different to the human eye. The authors propose a new set of shape descriptors based on a finer determination of the object symmetry axes, and a more accurate estimation of the bilateral and radial symmetries. These descriptors were thoroughly tested using several synthetic and real objects with varying degrees of symmetry. The methods for axes estimation and symmetry descriptors extraction outperform the widespread shape descriptors in recognising and identifying among very similar objects.
Fil: Revollo Sarmiento, Natalia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional de Jujuy; Argentina
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina
Materia
Descriptores Morfologicos
Procesamiento de Imagenes
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:11336/65447
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Set of bilateral and radial symmetry shape descriptor based on contour informationRevollo Sarmiento, Natalia VeronicaDelrieux, Claudio AugustoGonzález José, RolandoDescriptores MorfologicosProcesamiento de Imageneshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail to distinguish among very similar objects that they appear very different to the human eye. The authors propose a new set of shape descriptors based on a finer determination of the object symmetry axes, and a more accurate estimation of the bilateral and radial symmetries. These descriptors were thoroughly tested using several synthetic and real objects with varying degrees of symmetry. The methods for axes estimation and symmetry descriptors extraction outperform the widespread shape descriptors in recognising and identifying among very similar objects.Fil: Revollo Sarmiento, Natalia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional de Jujuy; ArgentinaFil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; ArgentinaFil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; ArgentinaInstitution of Engineering and Technology2017-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/65447Revollo Sarmiento, Natalia Veronica; Delrieux, Claudio Augusto; González José, Rolando; Set of bilateral and radial symmetry shape descriptor based on contour information; Institution of Engineering and Technology; Iet Computer Vision; 11; 3; 4-2017; 226-2361751-9632CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1049/iet-cvi.2015.0413info:eu-repo/semantics/altIdentifier/url/http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0413info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:31:10Zoai:ri.conicet.gov.ar:11336/65447instacron: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 10:31:11.045CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Set of bilateral and radial symmetry shape descriptor based on contour information
title Set of bilateral and radial symmetry shape descriptor based on contour information
spellingShingle Set of bilateral and radial symmetry shape descriptor based on contour information
Revollo Sarmiento, Natalia Veronica
Descriptores Morfologicos
Procesamiento de Imagenes
title_short Set of bilateral and radial symmetry shape descriptor based on contour information
title_full Set of bilateral and radial symmetry shape descriptor based on contour information
title_fullStr Set of bilateral and radial symmetry shape descriptor based on contour information
title_full_unstemmed Set of bilateral and radial symmetry shape descriptor based on contour information
title_sort Set of bilateral and radial symmetry shape descriptor based on contour information
dc.creator.none.fl_str_mv Revollo Sarmiento, Natalia Veronica
Delrieux, Claudio Augusto
González José, Rolando
author Revollo Sarmiento, Natalia Veronica
author_facet Revollo Sarmiento, Natalia Veronica
Delrieux, Claudio Augusto
González José, Rolando
author_role author
author2 Delrieux, Claudio Augusto
González José, Rolando
author2_role author
author
dc.subject.none.fl_str_mv Descriptores Morfologicos
Procesamiento de Imagenes
topic Descriptores Morfologicos
Procesamiento de Imagenes
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail to distinguish among very similar objects that they appear very different to the human eye. The authors propose a new set of shape descriptors based on a finer determination of the object symmetry axes, and a more accurate estimation of the bilateral and radial symmetries. These descriptors were thoroughly tested using several synthetic and real objects with varying degrees of symmetry. The methods for axes estimation and symmetry descriptors extraction outperform the widespread shape descriptors in recognising and identifying among very similar objects.
Fil: Revollo Sarmiento, Natalia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina. Universidad Nacional de Jujuy; Argentina
Fil: Delrieux, Claudio Augusto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones en Ingeniería Eléctrica ; Argentina
Fil: González José, Rolando. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico; Argentina
description Form and shape descriptors are among the most useful features for object identification and recognition. Even though there exists a widely used set of shape descriptors and underlying computational methods for their evaluation, frequently they fail to distinguish among very similar objects that they appear very different to the human eye. The authors propose a new set of shape descriptors based on a finer determination of the object symmetry axes, and a more accurate estimation of the bilateral and radial symmetries. These descriptors were thoroughly tested using several synthetic and real objects with varying degrees of symmetry. The methods for axes estimation and symmetry descriptors extraction outperform the widespread shape descriptors in recognising and identifying among very similar objects.
publishDate 2017
dc.date.none.fl_str_mv 2017-04
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/11336/65447
Revollo Sarmiento, Natalia Veronica; Delrieux, Claudio Augusto; González José, Rolando; Set of bilateral and radial symmetry shape descriptor based on contour information; Institution of Engineering and Technology; Iet Computer Vision; 11; 3; 4-2017; 226-236
1751-9632
CONICET Digital
CONICET
url http://hdl.handle.net/11336/65447
identifier_str_mv Revollo Sarmiento, Natalia Veronica; Delrieux, Claudio Augusto; González José, Rolando; Set of bilateral and radial symmetry shape descriptor based on contour information; Institution of Engineering and Technology; Iet Computer Vision; 11; 3; 4-2017; 226-236
1751-9632
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1049/iet-cvi.2015.0413
info:eu-repo/semantics/altIdentifier/url/http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2015.0413
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
dc.publisher.none.fl_str_mv Institution of Engineering and Technology
publisher.none.fl_str_mv Institution of Engineering and Technology
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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