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An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy
Gao H.1,2; Pun C.-M.2; Kwong S.3
2016-07-14
Source PublicationInformation Sciences
ISSN00200255
Volume369Pages:500-521
Abstract

Traditional threshold image segmentation method is a time consuming problem, we aim to find an effective optimal tool for proper threshold segmentation methods (e.g. Otsu and Kapur). In this work, we present a learning strategy based particle swarm optimization algorithm with an exchange method (LPSOWE). First, for enhancing the exploration ability and maintaining the convergence rate of the traditional particle swarm optimization algorithm (PSO), new jumping operators and learning items are proposed for a favorable update equation of PSO. Second, since particles are updated as a whole item in PSOs, a random cross operator and an exchange strategy are further investigated for the particles to have more chances for exploring the search space on each dimension. The Berkeley segmentation data set is used for comparisons with other algorithm and the results show that the proposed algorithm gets better results over the Evolutionary Computation (EC) based algorithms.

KeywordExchange Method Learning Item Particle Swarm Optimization Threshold Image Segmentation
DOI10.1016/j.ins.2016.07.017
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000383292500033
PublisherELSEVIER SCIENCE INC
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Citation statistics
Cited Times [WOS]:27   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorPun C.-M.
Affiliation1.The Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China.
2.Department of Computer and Information Science, University of Macau, Macau SAR, China.
3.Department of Computer Science, City University of Hong Kong, Hong Kong, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Gao H.,Pun C.-M.,Kwong S.. An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy[J]. Information Sciences,2016,369:500-521.
APA Gao H.,Pun C.-M.,&Kwong S..(2016).An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy.Information Sciences,369,500-521.
MLA Gao H.,et al."An efficient image segmentation method based on a hybrid particle swarm algorithm with learning strategy".Information Sciences 369(2016):500-521.
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