Intelligent fusion method of infrared polarization image based on fireworks algorithm
投稿时间:2019-07-16  修订日期:2020-04-03  download
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作者单位E-mail
陈卫 中国科学院安徽光学精密机械研究所 chw523@mail.ustc.edu.cn 
孙晓兵 中国科学院安徽光学精密机械研究所  
乔延利 中国科学院安徽光学精密机械研究所  
陈斐楠 中国科学院安徽光学精密机械研究所  
殷玉龙 中国科学院安徽光学精密机械研究所  
Abstract:Aiming at the fusion of infrared intensity-polarization image, an intelligent fusion method based on spatially weighted averaging method optimized by fireworks algorithm is proposed. Based on the optimization model, the boundary conditions of fireworks algorithm are determined. The fitness function based on comprehensive relative-entropy is established by introducing the weight of relative-entropy. Finally, the fusion experiments on three groups of infrared image “ground”, “truck” and “car” are carried out with LP, PCA, GP, MP, DWT and SIDWT methods, and the fusion results are evaluated objectively and compared with the visual effects. The experimental results show that the proposed method can effectively achieve the fusion of infrared intensity map and polarization map, and retain the infrared intensity and polarization characteristics. Combining the visual effect and objective evaluation results, the method in this paper is superior to the comparison algorithm in relative-entropy, similarity of summary structure and total mutual information index.
keywords:fireworks algorithm  swarm intelligence  infrared polarization image  intelligent fusion  weighted averaging method
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Copyright:《Journal of Infrared And Millimeter Waves》