3 citations · 7 across the 8 of their papers we have counts for
8 papers
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…
Circle detection using Discrete Differential Evolution Optimization
Erik Cuevas, Daniel Zaldivar, Marco Perez +1
This paper introduces a circle detection method based on Differential Evolution (DE) optimization. Just as circle detection has been lately considered as a fundamental component fo…
Seeking multi-thresholds for image segmentation with Learning Automata
Erik Cuevas, Daniel Zaldivar, Marco Perez
This paper explores the use of the Learning Automata (LA) algorithm to compute threshold selection for image segmentation as it is a critical preprocessing step for image analysis,…
Circle detection by Harmony Search Optimization
Erik Cuevas, Noe Ortega, Daniel Zaldivar +1
Automatic circle detection in digital images has received considerable attention over the last years in computer vision as several efforts have aimed for an optimal circle detector…
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…
Fast algorithm for Multiple-Circle detection on images using Learning Automata
Erik Cuevas, Fernando Wario, Valentin Osuna +2
Hough transform (HT) has been the most common method for circle detection exhibiting robustness but adversely demanding a considerable computational load and large storage. Alterna…