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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
An Automatic Target Detection Post-Processing Algorithm Based on Swarm Intelligence
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
Chen Zhuo, Qingdao University of Science and Technology, China
Liu Xiang-shuang, Hisense Mobile Technology Ltd., China
Zhuang Xiao-dong, Qingdao University, China
Presently, most target detection post-processing algorithms are short of self-adapting, which make them have many limitations in automatic target detection from the digital images. Therefore this paper provides a new type of automatic target detection post-processing algorithm (CASI) which adopts clustering algorithm based on swarm intelligence to post-process the detected target pixels. Because of the characteristics of self-organization, robustness, expandability and simplicity, CASI can self-adaptively restore the target pixels, divide them into different targets and delete the false alarm targets. Experimental results conform that the target detection post-processing effect of this new type of algorithm is much better than the ones of morphological transformation in common use.
Citation:
Chen Zhuo, Liu Xiang-shuang, Zhuang Xiao-dong, "An Automatic Target Detection Post-Processing Algorithm Based on Swarm Intelligence," snpd, vol. 2, pp.444-449, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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