![](/images/graphics-bg.png)
Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms
Joint Authors
Zaldivar, Daniel
Cuevas, Erik
González, Adrián
Fausto, Fernando
Pérez-Cisneros, Marco
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-25, 25 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-27
Country of Publication
Egypt
No. of Pages
25
Main Subjects
Abstract EN
As an alternative to classical techniques, the problem of image segmentation has also been handled through evolutionary methods.
Recently, several algorithms based on evolutionary principles have been successfully applied to image segmentation with interesting performances.
However, most of them maintain two important limitations: (1) they frequently obtain suboptimal results (misclassifications) as a consequence of an inappropriate balance between exploration and exploitation in their search strategies; (2) the number of classes is fixed and known in advance.
This paper presents an algorithm for the automatic selection of pixel classes for image segmentation.
The proposed method combines a novel evolutionary method with the definition of a new objective function that appropriately evaluates the segmentation quality with respect to the number of classes.
The new evolutionary algorithm, called Locust Search (LS), is based on the behavior of swarms of locusts.
Different to the most of existent evolutionary algorithms, it explicitly avoids the concentration of individuals in the best positions, avoiding critical flaws such as the premature convergence to suboptimal solutions and the limited exploration-exploitation balance.
Experimental tests over several benchmark functions and images validate the efficiency of the proposed technique with regard to accuracy and robustness.
American Psychological Association (APA)
Cuevas, Erik& González, Adrián& Fausto, Fernando& Zaldivar, Daniel& Pérez-Cisneros, Marco. 2015. Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-25.
https://search.emarefa.net/detail/BIM-1074763
Modern Language Association (MLA)
Cuevas, Erik…[et al.]. Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. Mathematical Problems in Engineering No. 2015 (2015), pp.1-25.
https://search.emarefa.net/detail/BIM-1074763
American Medical Association (AMA)
Cuevas, Erik& González, Adrián& Fausto, Fernando& Zaldivar, Daniel& Pérez-Cisneros, Marco. Multithreshold Segmentation by Using an Algorithm Based on the Behavior of Locust Swarms. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-25.
https://search.emarefa.net/detail/BIM-1074763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074763