Title :
A genetic algorithm to segment range image by edge detection
Author :
Diaz, Ivan ; Branch, J. ; Boulanger, P.
Author_Institution :
Fac. de Ingenieria, Universidad de Medellin
Abstract :
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
Keywords :
edge detection; genetic algorithms; gradient methods; image segmentation; depth gradients; edge map detection; genetic algorithm; orientation gradients; planar patches; range image segmentation; Clustering algorithms; Computer vision; Genetic algorithms; Image edge detection; Image reconstruction; Image segmentation; Image storage; Labeling; Partitioning algorithms; Shape;
Conference_Titel :
Industrial Electronics and Control Applications, 2005. ICIECA 2005. International Conference on
Conference_Location :
Quito
Print_ISBN :
0-7803-9419-4
DOI :
10.1109/ICIECA.2005.1644380
