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
摘要点击次数: 381
全文下载次数: 136
陈卫 中国科学院安徽光学精密机械研究所 
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
  HTML  查看/发表评论  下载PDF阅读器

Copyright:《Journal of Infrared And Millimeter Waves》