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基于微粒群区域搜索和小波评价的差分式自动聚焦

吕恒毅 刘杨 薛旭成

吕恒毅, 刘杨, 薛旭成. 基于微粒群区域搜索和小波评价的差分式自动聚焦[J]. 中国光学(中英文), 2011, 4(3): 283-292.
引用本文: 吕恒毅, 刘杨, 薛旭成. 基于微粒群区域搜索和小波评价的差分式自动聚焦[J]. 中国光学(中英文), 2011, 4(3): 283-292.
LV Heng-yi, LIU Yang, XUE Xu-cheng. Difference auto-focusing based on particle swarm optimization searching and wavelet evaluation[J]. Chinese Optics, 2011, 4(3): 283-292.
Citation: LV Heng-yi, LIU Yang, XUE Xu-cheng. Difference auto-focusing based on particle swarm optimization searching and wavelet evaluation[J]. Chinese Optics, 2011, 4(3): 283-292.

基于微粒群区域搜索和小波评价的差分式自动聚焦

基金项目: 

国家自然科学基金重大合作项目(No.6071002)

详细信息
    作者简介:

    吕恒毅(1984—),男,辽宁大连人,硕士,研究实习员,主要从事空间遥感相机成像系统及智能调焦等方面的研究。E-mail:lv_hengyi@163.com 刘 杨(1982—),博士研究生,主要从事信号处理和故障诊断方面的研究。E-mail:lghit520@yahoo.com.cn

  • 中图分类号: TP391.4

Difference auto-focusing based on particle swarm optimization searching and wavelet evaluation

  • 摘要: 为进一步提高图像法自动聚焦的性能,提出了一种差分式提取图像边缘的方法,并构造了图像清晰度的小波评价函数,同时利用微粒群(PSO)算法对聚焦区域进行快速搜索。首先,介绍了差分式边缘提取方法及其优势,给出了一种评价区域的选取判据以及基于PSO的高效搜索方法;然后,对小波评价函数参数进行了比较分析和优选;最后,与传统方法进行了对比实验。结果表明,由于采用了差分式提取方法以及新的自适应聚焦窗口和评价函数,聚焦曲线较传统方法具有更高的调焦分辨率,PSO算法的使用使聚焦速度提高了约170 ms,聚焦精度约为2.3 m,同时调焦效果不受初始位置的影响。

     

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出版历程
  • 收稿日期:  2011-02-21
  • 修回日期:  2011-04-23
  • 刊出日期:  2011-06-25

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