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| Research of Image Correlation Matching Method Based on CPSO |
| Yang Yan-xi; Liu Ding; Xin Jing |
| Box 109, Xi’an University of Technology, Xi’an 710048, China |
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Abstract A Chaos Particle Swarm Optimization (CPSO) algorithm is presented. The initial location of the particle is evaluated by chaos. During the running time, according to the variance of the population’s fitness, the chaotic location update of the particle is performed adaptively. The experimental results using the testing functions show that CPSO is able to search the global optimizer and avoiding the premature convergence on the multidimensional variable space. Applied the algorithm to image correlation matching, a new image correlation matching method based on CPSO is presented. The experimental results show that this method is very effective for image matching processing with noise.
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Received: 07 September 2006
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2008, Vol. 30 
