Parallel genetic algorithm for color image segmentation
Author
Source
Journal of University of Babylon for Humanities
Issue
Vol. 14, Issue 1 (31 Mar. 2007), pp.10-14, 5 p.
Publisher
Publication Date
2007-03-31
Country of Publication
Iraq
No. of Pages
5
Main Subjects
Topics
Abstract EN
This paper presents a Parallel Genetic Algorithm (PGA) based on the distributed (island) paradigm to optimize color image segmentation.
The goal of using PGA is to accelerate the process of segmentation.
However, that is not the only motivation for parallelism.
Even when speed is not primary factor, these distributed algorithms, and as we shall see through the results, often outperform GAs with single population.
Some examples in color images are presented and overall results discussed.
American Psychological Association (APA)
Ubayd, Ahmad K.. 2007. Parallel genetic algorithm for color image segmentation. Journal of University of Babylon for Humanities،Vol. 14, no. 1, pp.10-14.
https://search.emarefa.net/detail/BIM-339076
Modern Language Association (MLA)
Ubayd, Ahmad K.. Parallel genetic algorithm for color image segmentation. Journal of University of Babylon for Humanities Vol. 14, no. 1 (2007), pp.10-14.
https://search.emarefa.net/detail/BIM-339076
American Medical Association (AMA)
Ubayd, Ahmad K.. Parallel genetic algorithm for color image segmentation. Journal of University of Babylon for Humanities. 2007. Vol. 14, no. 1, pp.10-14.
https://search.emarefa.net/detail/BIM-339076
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 14
Record ID
BIM-339076