HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.

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The Polar Hough Transform has been used to create a system for rotation, translation and sizescaling automatic invariant pattern recognition of polygonal objects, and it has been successfully applied to the invariant recognition of L-shaped metallic corner-fasteners. Since the performance of the dev...

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Detalles Bibliográficos
Autor: Montenegro Joo, Javier
Formato: artículo
Fecha de Publicación:2007
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/6354
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6354
Nivel de acceso:acceso abierto
Materia:Artificial intelligence
computational vision
vybernetic vision
invariant pattern recognition
invariant shape classification
Polar Hough transform
automatic quality control.
Inteligencia artificial
visión computacional
visión cibernética
reconocimiento invariante de sujetadores
Transformada Polar.
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spelling HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.Reconocimiento automático invariante de sujetadores metálicos e squineros, basado en la transformada de Hough.Montenegro Joo, JavierArtificial intelligencecomputational visionvybernetic visioninvariant pattern recognitioninvariant shape classificationPolar Hough transformautomatic quality control.Inteligencia artificialvisión computacionalvisión cibernéticareconocimiento invariante de sujetadoresTransformada Polar.The Polar Hough Transform has been used to create a system for rotation, translation and sizescaling automatic invariant pattern recognition of polygonal objects, and it has been successfully applied to the invariant recognition of L-shaped metallic corner-fasteners. Since the performance of the developed system is autonomous it may be applied to automatic quality control and automatic classification in the industry.La Transformada polar de Hough ha sido usada para crear un sistema para reconocimiento invariante automático de objetos poligonales, el cual opera independientemente de la posición, orientación y tamaño de los objetos y, ha sido exitosamente aplicado al reconocimiento de sujetadores metálicos esquineros(forma de L). Como el sistema es autónomo, podría ser aplicado a la automatización del control de calidad y de la clasificación, en la industria.Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos2007-07-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/635410.15381/idata.v10i1.6354Industrial Data; Vol. 10 No. 1 (2007); 088-092Industrial Data; Vol. 10 Núm. 1 (2007); 088-0921810-99931560-9146reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6354/5568Derechos de autor 2007 Javier Montenegro Joohttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/63542020-06-13T16:45:03Z
dc.title.none.fl_str_mv HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
Reconocimiento automático invariante de sujetadores metálicos e squineros, basado en la transformada de Hough.
title HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
spellingShingle HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
Montenegro Joo, Javier
Artificial intelligence
computational vision
vybernetic vision
invariant pattern recognition
invariant shape classification
Polar Hough transform
automatic quality control.
Inteligencia artificial
visión computacional
visión cibernética
reconocimiento invariante de sujetadores
Transformada Polar.
title_short HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
title_full HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
title_fullStr HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
title_full_unstemmed HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
title_sort HOUGH-transform based automatic invariant recognition of metallic corner-fasteners.
dc.creator.none.fl_str_mv Montenegro Joo, Javier
author Montenegro Joo, Javier
author_facet Montenegro Joo, Javier
author_role author
dc.subject.none.fl_str_mv Artificial intelligence
computational vision
vybernetic vision
invariant pattern recognition
invariant shape classification
Polar Hough transform
automatic quality control.
Inteligencia artificial
visión computacional
visión cibernética
reconocimiento invariante de sujetadores
Transformada Polar.
topic Artificial intelligence
computational vision
vybernetic vision
invariant pattern recognition
invariant shape classification
Polar Hough transform
automatic quality control.
Inteligencia artificial
visión computacional
visión cibernética
reconocimiento invariante de sujetadores
Transformada Polar.
description The Polar Hough Transform has been used to create a system for rotation, translation and sizescaling automatic invariant pattern recognition of polygonal objects, and it has been successfully applied to the invariant recognition of L-shaped metallic corner-fasteners. Since the performance of the developed system is autonomous it may be applied to automatic quality control and automatic classification in the industry.
publishDate 2007
dc.date.none.fl_str_mv 2007-07-16
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://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6354
10.15381/idata.v10i1.6354
url https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6354
identifier_str_mv 10.15381/idata.v10i1.6354
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/idata/article/view/6354/5568
dc.rights.none.fl_str_mv Derechos de autor 2007 Javier Montenegro Joo
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2007 Javier Montenegro Joo
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ingeniería Industrial, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv Industrial Data; Vol. 10 No. 1 (2007); 088-092
Industrial Data; Vol. 10 Núm. 1 (2007); 088-092
1810-9993
1560-9146
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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