3 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
A multilevel thresholding algorithm using Electromagnetism Optimization
Diego Oliva, Erik Cuevas, Gonzalo Pajares +2
Segmentation is one of the most important tasks in image processing. It consist in classify the pixels into two or more groups depending on their intensity levels and a threshold v…
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…
Opposition Based ElectromagnetismLike for Global Optimization
Erik Cuevas, Diego Oliva, Daniel Zaldivar +2
Electromagnetismlike Optimization (EMO) is a global optimization algorithm, particularly well suited to solve problems featuring nonlinear and multimodal cost functions. EMO employ…
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…