most citedOpposition Based ElectromagnetismLike for Global Optimization

3 citations · 13 across the 18 of their papers we have counts for

collaborators

18 papers

cs.NE2014

Block matching algorithm for motion estimation based on Artificial Bee Colony (ABC)

Erik Cuevas, Daniel Zaldivar, Marco Perez +2

Block matching (BM) motion estimation plays a very important role in video coding. In a BM approach, image frames in a video sequence are divided into blocks. For each block in the…

cs.RO2014

Hands-on experiments on intelligent behavior for mobile robots

Erik Cuevas, Daniel Zaldivar, Marco Perez- +1

In recent years, Artificial Intelligence techniques have emerged as useful tools for solving various engineering problems that were not possible or convenient to handle by traditio…

cs.RO20143 cited

Low-cost commercial LEGO platform for mobile robotics

Erik Cuevas, Daniel Zaldivar, Marco Perez

This paper shows the potential of a Lego\c{opyright} based low-cost commercial robotic platform for learning and testing prototypes in higher education and research. The overall se…

cs.CV20142 cited

An improved computer vision method for detecting white blood cells

Erik Cuevas, Margarita Diaz, Miguel Manzanares +2

The automatic detection of White Blood Cells (WBC) still remains as an unsolved issue in medical imaging. The analysis of WBC images has engaged researchers from fields of medicine…

cs.CV20142 cited

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…

cs.CV2014

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…