Search Results for author: Humberto Sossa

Found 5 papers, 0 papers with code

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

no code implementations30 Jun 2014 Erik Cuevas, Daniel Zaldivar, Marco Perez, Humberto Sossa, Valentin Osuna

Therefore, BM motion estimation can be approached as an optimization problem, where the goal is to find the best matching block within a search space.

Motion Estimation

Circle detection using electro-magnetism optimization

no code implementations30 May 2014 Erik Cuevas, Diego Oliva, Daniel Zaldivar, Marco Perez-Cisneros, Humberto Sossa

The EMO algorithm is used to find the circle candidate that is better related with the real circle present in the image according to the objective function.

A Multi-threshold Segmentation Approach Based on Artificial Bee Colony Optimization

no code implementations28 May 2014 Erik Cuevas, Felipe Sencion, Daniel Zaldivar, Marco Perez, Humberto Sossa

This paper explores the use of the Artificial Bee Colony (ABC) algorithm to compute threshold selection for image segmentation.

Semantic Segmentation

A new stopping criterion for the mean shift iterative algorithm

no code implementations8 Nov 2013 Roberto Rodríguez, Esley Torres, Yasel Garcés, Osvaldo Pereira, Humberto Sossa

This paper proposes a new stopping criterion for the mean shift iterative algorithm, where stopping threshold via entropy is used now, but in another way.

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