A genetic algorithm to segment range image by edge detection

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dc.contributor.affiliationFac. de Ingeniería, Universidad de Medellín, Medellín, Colombiaspa
dc.contributor.affiliationEscuela de Sistemas, Universidad Nacional de Colombia Sede Medellín, Medellín, Colombiaspa
dc.contributor.affiliationDepartment of Computing Science, University of Alberta, Edmonton, Alta., Canadaspa
dc.contributor.authorDiaz I.
dc.contributor.authorBranch J.
dc.contributor.authorBoulanger P.
dc.date.accessioned2016-06-23T21:52:11Z
dc.date.available2016-06-23T21:52:11Z
dc.date.issued2005
dc.description.abstractThe 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 imageeng
dc.identifier.doi10.1109/ICIECA.2005.1644380
dc.identifier.isbn0780394194; 9780780394193
dc.identifier.urihttp://hdl.handle.net/11407/2333
dc.language.isoeng
dc.publisherIEEE Computer Societyspa
dc.relation.isversionofhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=1644380
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceScopusspa
dc.titleA genetic algorithm to segment range image by edge detectionspa
dc.typeConference Paper
dc.type.driverinfo:eu-repo/semantics/conferenceObject

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