A genetic algorithm to segment range image by edge detection

The following article presents a segmentation method of range images. This method is based on edge map detection by calculations of depth gradients and orientation gradients and a genetic algorithm. The objective is to delimit the planar patches contained in images to facilitate the labelling of eac...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2005
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/2333
Acceso en línea:
http://hdl.handle.net/11407/2333
Palabra clave:
Rights
restrictedAccess
License
http://purl.org/coar/access_right/c_16ec
id REPOUDEM2_5029ccaa52a5875e17ec7bf77d73b9e6
oai_identifier_str oai:repository.udem.edu.co:11407/2333
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
spelling 2016-06-23T21:52:11Z2016-06-23T21:52:11Z20050780394194; 9780780394193http://hdl.handle.net/11407/233310.1109/ICIECA.2005.1644380The following article presents a segmentation method of range images. This method is based on edge map detection by calculations of depth gradients and orientation gradients and a genetic algorithm. The objective is to delimit the planar patches contained in images to facilitate the labelling of each region. The genetic algorithm is guided by depth gradients and orientation gradients in order to find the edge map of the imageengIEEE Computer Societyhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1644380ScopusA genetic algorithm to segment range image by edge detectionConference Paperinfo:eu-repo/semantics/conferenceObjecthttp://purl.org/coar/resource_type/c_c94finfo:eu-repo/semantics/restrictedAccesshttp://purl.org/coar/access_right/c_16ecFac. de Ingeniería, Universidad de Medellín, Medellín, ColombiaEscuela de Sistemas, Universidad Nacional de Colombia Sede Medellín, Medellín, ColombiaDepartment of Computing Science, University of Alberta, Edmonton, Alta., CanadaDiaz I.Branch J.Boulanger P.11407/2333oai:repository.udem.edu.co:11407/23332020-05-27 16:34:39.029Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co
dc.title.spa.fl_str_mv A genetic algorithm to segment range image by edge detection
title A genetic algorithm to segment range image by edge detection
spellingShingle A genetic algorithm to segment range image by edge detection
title_short A genetic algorithm to segment range image by edge detection
title_full A genetic algorithm to segment range image by edge detection
title_fullStr A genetic algorithm to segment range image by edge detection
title_full_unstemmed A genetic algorithm to segment range image by edge detection
title_sort A genetic algorithm to segment range image by edge detection
dc.contributor.affiliation.spa.fl_str_mv Fac. de Ingeniería, Universidad de Medellín, Medellín, Colombia
Escuela de Sistemas, Universidad Nacional de Colombia Sede Medellín, Medellín, Colombia
Department of Computing Science, University of Alberta, Edmonton, Alta., Canada
description The following article presents a segmentation method of range images. This method is based on edge map detection by calculations of depth gradients and orientation gradients and a genetic algorithm. The objective is to delimit the planar patches contained in images to facilitate the labelling of each region. The genetic algorithm is guided by depth gradients and orientation gradients in order to find the edge map of the image
publishDate 2005
dc.date.created.none.fl_str_mv 2005
dc.date.accessioned.none.fl_str_mv 2016-06-23T21:52:11Z
dc.date.available.none.fl_str_mv 2016-06-23T21:52:11Z
dc.type.eng.fl_str_mv Conference Paper
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_c94f
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/conferenceObject
dc.identifier.isbn.none.fl_str_mv 0780394194; 9780780394193
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/2333
dc.identifier.doi.none.fl_str_mv 10.1109/ICIECA.2005.1644380
identifier_str_mv 0780394194; 9780780394193
10.1109/ICIECA.2005.1644380
url http://hdl.handle.net/11407/2333
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.isversionof.spa.fl_str_mv http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1644380
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.accessrights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.spa.fl_str_mv IEEE Computer Society
dc.source.spa.fl_str_mv Scopus
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159152558112768