most citedOpposition Based ElectromagnetismLike for Global Optimization

3 citations · 13 across the 22 of their papers we have counts for

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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…

cs.CV2014

Block matching algorithm based on Harmony Search optimization for motion estimation

Erik Cuevas

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…

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 Comparison of Nature Inspired Algorithms for Multi-threshold Image Segmentation

Valentín Osuna-Enciso, Erik Cuevas, Humberto Sossa

In the field of image analysis, segmentation is one of the most important preprocessing steps. One way to achieve segmentation is by mean of threshold selection, where each pixel t…