5 papers
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…
An Educational Fuzzy-based Control platform using LEGO Robots
Daniel Zaldivar, Erik Cuevas, Marco A. Perez +3
Fuzzy controllers have gained popularity in the past few decades with successful implementations in many fields that have enabled designers to control complex systems through lingu…
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…
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…
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…