Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding
Joint Authors
Xu, Bin
Qi, Jin
Li, Linguo
Guo, Jian
Li, Shujing
Sun, Lijuan
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-03
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
The computation of image segmentation has become more complicated with the increasing number of thresholds, and the option and application of the thresholds in image thresholding fields have become an NP problem at the same time.
The paper puts forward the modified discrete grey wolf optimizer algorithm (MDGWO), which improves on the optimal solution updating mechanism of the search agent by the weights.
Taking Kapur’s entropy as the optimized function and based on the discreteness of threshold in image segmentation, the paper firstly discretizes the grey wolf optimizer (GWO) and then proposes a new attack strategy by using the weight coefficient to replace the search formula for optimal solution used in the original algorithm.
The experimental results show that MDGWO can search out the optimal thresholds efficiently and precisely, which are very close to the result examined by exhaustive searches.
In comparison with the electromagnetism optimization (EMO), the differential evolution (DE), the Artifical Bee Colony (ABC), and the classical GWO, it is concluded that MDGWO has advantages over the latter four in terms of image segmentation quality and objective function values and their stability.
American Psychological Association (APA)
Li, Linguo& Sun, Lijuan& Guo, Jian& Qi, Jin& Xu, Bin& Li, Shujing. 2017. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
Modern Language Association (MLA)
Li, Linguo…[et al.]. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
American Medical Association (AMA)
Li, Linguo& Sun, Lijuan& Guo, Jian& Qi, Jin& Xu, Bin& Li, Shujing. Modified Discrete Grey Wolf Optimizer Algorithm for Multilevel Image Thresholding. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1140891
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140891