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...

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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
Description
Summary: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