2 citations · 2 across the 3 of their papers we have counts for
3 papers
Multi Circle Detection on Images Using Artificial Bee Colony (ABC) Optimization
Erik Cuevas, Felipe Sencion-Echauri, Daniel Zaldivar +1
Hough transform (HT) has been the most common method for circle detection, exhibiting robustness, but adversely demanding considerable computational effort and large memory require…
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…
Block matching algorithm based on Differential Evolution for motion estimation
Erik Cuevas, Daniel Zaldivar, Marco Perez-Cisneros +1
Motion estimation is one of the major problems in developing video coding applications. Among all motion estimation approaches, Block matching (BM) algorithms are the most popular…