3 papers
cs.CV2014
Circle detection using electro-magnetism optimization
Erik Cuevas, Diego Oliva, Daniel Zaldivar +2
This paper describes a circle detection method based on Electromagnetism-Like Optimization (EMO). Circle detection has received considerable attention over the last years thanks to…
cs.CV2014
A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization
Erik Cuevas, Felipe Sencion, Daniel Zaldivar +2
This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation. ABC is a heuristic algorithm motivated by the intell…
cs.CV2013
A new stopping criterion for the mean shift iterative algorithm
Roberto Rodríguez, Esley Torres, Yasel Garcés +2
The mean shift iterative algorithm was proposed in 2006, for using the entropy as a stopping criterion. From then on, a theoretical base has been developed and a group of applicati…