![](/images/graphics-bg.png)
Fast Image Segmentation Using Two-Dimensional Otsu Based on Estimation of Distribution Algorithm
Joint Authors
Wang, Wuli
Duan, Liming
Wang, Yong
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-11
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Traditional two-dimensional Otsu algorithm has several drawbacks; that is, the sum of probabilities of target and background is approximate to 1 inaccurately, the details of neighborhood image are not obvious, and the computational cost is high.
In order to address these problems, a method of fast image segmentation using two-dimensional Otsu based on estimation of distribution algorithm is proposed.
Firstly, in order to enhance the performance of image segmentation, the guided filtering is employed to improve neighborhood image template instead of mean filtering.
Additionally, the probabilities of target and background in two-dimensional histogram are exactly calculated to get more accurate threshold.
Finally, the trace of the interclass dispersion matrix is taken as the fitness function of estimation of distributed algorithm, and the optimal threshold is obtained by constructing and sampling the probability model.
Extensive experimental results demonstrate that our method can effectively preserve details of the target, improve the segmentation precision, and reduce the running time of algorithms.
American Psychological Association (APA)
Wang, Wuli& Duan, Liming& Wang, Yong. 2017. Fast Image Segmentation Using Two-Dimensional Otsu Based on Estimation of Distribution Algorithm. Journal of Electrical and Computer Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1175227
Modern Language Association (MLA)
Wang, Wuli…[et al.]. Fast Image Segmentation Using Two-Dimensional Otsu Based on Estimation of Distribution Algorithm. Journal of Electrical and Computer Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1175227
American Medical Association (AMA)
Wang, Wuli& Duan, Liming& Wang, Yong. Fast Image Segmentation Using Two-Dimensional Otsu Based on Estimation of Distribution Algorithm. Journal of Electrical and Computer Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1175227
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175227