Real-Time video thresholding using evolutionary techniques and cross entropy

Salvador Hinojosa, Diego Oliva, Erik Cuevas, Marco Perez-Cisneros, Gonzalo Pajares

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Evolutionary Algorithms (EAs) are present in most areas of science and engineering where difficult problems arise. However, EAs are often applied to design problems where the speed is not a crucial factor. This tendency has lead EAs to be excluded from real-Time applications due to its iterative nature. Image processing has benefited from EAs on many off-line applications, but little research has been made for real-Time image processing problems. This paper presents the evaluation of EAs applied to the thresholding of a stream of images in real-Time. Results indicate that Differential Evolution (DE) can be modified to achieve real-Time performance on a single core implementation without any form of parallelization. These circumstances indicate that the performance can be further improved with multi-core implementations or GPU parallelization.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018
EditorsYannis Manolopoulos, Lazaros Iliadis, Plamen Angelov, Edwin Lughofer
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781538613764
DOIs
Publication statusPublished - 26 Jun 2018
Externally publishedYes
Event11th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018 - Rhodes, Greece
Duration: 25 May 201827 May 2018

Publication series

Name2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018

Conference

Conference11th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018
CountryGreece
CityRhodes
Period25.5.1827.5.18

Keywords

  • Evolutive algorithms
  • Image processing
  • Real-Time
  • Thresholding

ASJC Scopus subject areas

  • Signal Processing
  • Control and Optimization
  • Artificial Intelligence
  • Computer Science Applications

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  • Cite this

    Hinojosa, S., Oliva, D., Cuevas, E., Perez-Cisneros, M., & Pajares, G. (2018). Real-Time video thresholding using evolutionary techniques and cross entropy. In Y. Manolopoulos, L. Iliadis, P. Angelov, & E. Lughofer (Eds.), 2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018 (pp. 1-8). (2018 IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EAIS.2018.8397184