INFRARED TARGET EXTRACTION ALGORITHM BY USING PARTICLE SWARM OPTIMIZATION PARTICLE FILTER
Received:December 28, 2009  Revised:December 28, 2009  download
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Author NameAffiliationE-mail
ZHOU Yue Shanghai Jiaotong University meureka@126.com 
MAO Xiao-Nan Research Institute of Shanghai Aerospace Control Engineering  
Abstract:A novel infrared target extraction algorithm based on particle swarm optimization particle filter(PSOPF) was proposed. The problem of infrared target extraction was analyzed and solved in the view of state estimation. In the framework of particle filter, the threshold state space on the gray-variance weighted information entropy and the grey value of each pixel was based on extraction results evaluation function, which integrated grey, entropy, gradient and spatial distribution of pixels. Finally, the weighted average of all the particles was used as target extraction threshold. The experiment results prove that the proposed algorithm is effective and robust.
keywords:particle filter  particle swarm optimization  target extraction  gray-variance weighted information entropy  
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Copyright:《Journal of Infrared And Millimeter Waves》