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Flame Image Segmentation Based on the Bee Colony Algorithm with Characteristics of Levy Flights
Joint Authors
Zhang, Xiaolin
Yang, Tao
Cui, Ningning
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-25
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The real-time processing of the image segmentation method with accuracy is very important in the application of the flame image detection system.
This paper considers a novel method for flame image segmentation.
It is the bee colony algorithm with characteristics enhancement of Levy flights against the problems of the algorithm during segmentation, including long calculation time and poor stability.
By introducing the idea of Levy flights, this method designs a new local search strategy.
By setting the current optimal value and based on the collaboration between the populations, it reinforces the overall convergence speed.
By adopting the new fitness evaluation method and combining it with the two-dimensional entropy multithreshold segmentation principle, this paper develops a threshold segmentation test of the flame image.
Test results show that this method has some advantages in terms of accuracy of threshold selection and calculation time.
The robustness of the algorithm meets the actual demands in the engineering application.
American Psychological Association (APA)
Zhang, Xiaolin& Yang, Tao& Cui, Ningning. 2015. Flame Image Segmentation Based on the Bee Colony Algorithm with Characteristics of Levy Flights. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074762
Modern Language Association (MLA)
Zhang, Xiaolin…[et al.]. Flame Image Segmentation Based on the Bee Colony Algorithm with Characteristics of Levy Flights. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074762
American Medical Association (AMA)
Zhang, Xiaolin& Yang, Tao& Cui, Ningning. Flame Image Segmentation Based on the Bee Colony Algorithm with Characteristics of Levy Flights. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074762