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
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;
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
DOI :
10.1109/IITAW.2009.74
