Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation
Joint Authors
Liu, Yang
Liu, Junfei
Ma, Lianbo
Tian, Liwei
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-20
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper proposes a new plant-inspired optimization algorithm for multilevel threshold image segmentation, namely, hybrid artificial root foraging optimizer (HARFO), which essentially mimics the iterative root foraging behaviors.
In this algorithm the new growth operators of branching, regrowing, and shrinkage are initially designed to optimize continuous space search by combining root-to-root communication and coevolution mechanism.
With the auxin-regulated scheme, various root growth operators are guided systematically.
With root-to-root communication, individuals exchange information in different efficient topologies, which essentially improve the exploration ability.
With coevolution mechanism, the hierarchical spatial population driven by evolutionary pressure of multiple subpopulations is structured, which ensure that the diversity of root population is well maintained.
The comparative results on a suit of benchmarks show the superiority of the proposed algorithm.
Finally, the proposed HARFO algorithm is applied to handle the complex image segmentation problem based on multilevel threshold.
Computational results of this approach on a set of tested images show the outperformance of the proposed algorithm in terms of optimization accuracy computation efficiency.
American Psychological Association (APA)
Liu, Yang& Liu, Junfei& Tian, Liwei& Ma, Lianbo. 2016. Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099579
Modern Language Association (MLA)
Liu, Yang…[et al.]. Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1099579
American Medical Association (AMA)
Liu, Yang& Liu, Junfei& Tian, Liwei& Ma, Lianbo. Hybrid Artificial Root Foraging Optimizer Based Multilevel Threshold for Image Segmentation. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-16.
https://search.emarefa.net/detail/BIM-1099579
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099579