NDLI: Image segmentation based on improved PSO

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2010 International Conference on Computer and Communication Technologies in Agriculture Engineering

Volume 3 - 2010

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Image segmentation based on improved PSO

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Volume 2 - 2010

Volume 1 - 2010

Image segmentation based on improved PSO

Content Provider	IEEE Xplore Digital Library
Author	Tang Hongmei Wu Cuixia Han Liying Wang Xia
Copyright Year	2010
Description	Author affiliation: School of Information Engineering, Hebei University of Technology, Tianjin, China (Tang Hongmei; Wu Cuixia; Han Liying; Wang Xia)
Abstract	The multilevel thresholds image segmentation method based on maximum entropy and improved particle swarm optimization (PSO) is presented in this paper. The proposed algorithm takes advantage of the characteristics of particle swarm optimization, and improves the parameter and evolutional process of basic PSO. Compared with the basic PSO method, the proposed method can get the better optimal thresholds and more ideal segmentation result with less computation cost and has good search stability in the experiments. The experimental results indicate that the proposed method is an promising and efficient segmentation method with fast convergence and high computational efficiency.
Starting Page	191
Ending Page	194
File Size	575958
Page Count	4
File Format	PDF
ISBN	9781424469444
e-ISBN	9781424469475
DOI	10.1109/CCTAE.2010.5544490
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Histograms Multilevel threshold Maximum entropy Particle swarm optimization(PSO)
Content Type	Text
Resource Type	Article

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