DocumentCode
3545135
Title
Template Matching Based on an Improved PSO Algorithm
Author
Liu, Xiaoxiang ; Zhang, Wenchuan ; Jiang, Weigang ; Xie, Jianwen
Author_Institution
Dept. of Comput. Sci., Jinan Univ., Zhuhai, China
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
292
Lastpage
296
Abstract
In many cases, the run time of template matching applications is dominated by the repeating of similar calculation and exploring of the optimum result. A new approach using accelerated species based particle swarm optimization for template matching problem (TMP) is proposed. Through changing the motion mode of particles in PSO, its shortage -- being easy to fall into local optimum, is overcome. The using of this improved PSO on instances proves the effectiveness of this approach.
Keywords
particle swarm optimisation; accelerated species; improved PSO algorithm; particle swarm optimization; template matching problem; Acceleration; Application software; Automation; Computer science; Educational institutions; Image recognition; Information technology; Particle swarm optimization; Position measurement; Predator prey systems; normalized cross correlation function; particle swarm optimization; template matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-6420-3
Electronic_ISBN
978-1-4244-6421-0
Type
conf
DOI
10.1109/IITAW.2009.74
Filename
5419438
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