DocumentCode :
2147388
Title :
Image Thresholding Using Particle Swarm Optimization
Author :
Lin, Zhengchun ; Wang, Zhiyan ; Zhang, Yanqing
Author_Institution :
Sch. of Comput. Sci. & Eng., South China Univ. of Technol., Guangzhou
fYear :
2008
fDate :
30-31 Dec. 2008
Firstpage :
245
Lastpage :
248
Abstract :
A novel image thresholding method using improved particle swarm optimization is proposed in this paper. Unlike tradition thresholding methods, the proposed method search the optimal threshold based on the movements of particles without the criterion function. Experiments and comparisons show that the proposed method is a fast, stable and effective image thresholding method.
Keywords :
image segmentation; particle swarm optimisation; PSO; image thresholding method; optimal threshold process; particle swarm optimization; Ant colony optimization; Computer science; Fuzzy set theory; Histograms; Image processing; Image segmentation; Information technology; Iterative algorithms; Particle swarm optimization; Shape measurement; image segmentation; image thresholding; particle swarm optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MultiMedia and Information Technology, 2008. MMIT '08. International Conference on
Conference_Location :
Three Gorges
Print_ISBN :
978-0-7695-3556-2
Type :
conf
DOI :
10.1109/MMIT.2008.43
Filename :
5089105
Link To Document :
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