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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, 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, 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。
  • [1] NAYAR S K,NAKAGAWA Y. Shape from focus[J]. IEEE T. Pattern Anal,1994,16(8):824-831. [2] PARK B-K,KIM S S,CHUNG D S,et al.. Fast and accurate auto focusing algorithm based on two defocused images using discrete cosine transform[J]. SPIE,2008,6817:68170D. [3] CHOI J S,KANG H,LEE C M,et al.. Noise insensitive focus value operator for digital imaging systems[J]. IEEE Transactions Consumer Electronics,2010,56(2):312-316. [4] KIM Y,LEE J S,MORALES A W. A video camera system with enhanced zoom tracking and auto white balance[J]. IEEE Transactions Consumer Electronics,2002,48(3):428-434. [5] MICHELE M,HENRY J,FREDERICK K,et al.. A Image based auto-focusing algorithm for digital fundus photography[J]. IEEE Transactions Medical Imaging,2009,28(11):1703-1707. [6] SUBBARAO M,TYAN J K. Selecting the optimal focus measure for auto-focusing and depth-from-focus[J]. IEEE T. Pattern Anal.,1998,20(8):864-870. [7] SUN Y,DUTHALER S,NELSON B J. Auto-focusing in computer microscopy:selecting the optimal focus algorithm[J]. Microscopy Res. Techniques,2004,65(3):139-149. [8] YANG G,NELSON B J. Wavelet-based auto-focusing and unsupervised segmentation of microscopic image . Proceedings of the IEEE International Conference on Intelligent Robots and System,Las Vegans,Nevada,2003:2143-2148. [9] 张乐,姜威,高赞 .数字图像一阶矩的自动聚焦区域选择算法[J]. 光学技术 ,2008,34(2):231-236. ZHANG L,JIANG W,GAO Z. Automatic focusing region selection algorithm based on first order of digital image[J]. Opt. Technique,2008,34(2):231-236.(in Chinese) [10] 梁敏华,吴志勇,陈涛. 采用最大灰度梯度法实现经纬仪自动调焦控制[J]. 光学 精密工程 ,2009,17(12):3016-3021. LIANG M H,WU ZH Y,CHEN T. Auto-focusing adjustment of theodolites by largest the Gradient method[J]. Opt. Precision Eng.,2009,17(12):3016-3021.(in Chinese) [11] 胡涛,陈世哲,刘国栋,等. 图像法自动调焦的最佳调焦区域选取算法[J]. 光学技术 ,2006,32(6):851-854. HU T,CHEN SH ZH,LIU G D,et al.. Algorithm of selecting the optimal focusing region[J]. Opt. Technique,2006,32(6):851-854.(in Chinese) [12] KENNEDY J,EBERHART R. Particle swarm optimization . Proc IEEE Int Conf on Neural Networks,Perth,Australia.Nov/Dec 1995:1942-1948. [13] 谢晓锋,张文俊,杨之廉. 微粒群算法综述[J]. 控制与决策 ,2003,18(2):129-134. XIE X F,ZHANG W J,YANG ZH L. Overview of particle swarm optimization[J]. Control and Decision,2003,18(2):129-134.(in Chinese) [14] JAWERTH B,AWELDENS W. An overview of wavelet based multiresolution analysis[J]. SIAM Rev.,1994,36(3):377-412. [15] XIE H,RONG W B,SUN L N. Wavelet-based focus measure and 3-D surface reconstruction method for microscopy images . Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems,Beijing,China,2006:229-234. [16] 张运海,赵改娜,张中华,等 .免散瞳眼底照相机的精密调焦[J]. 光学 精密工程 ,2009,17(5):1014-1019. ZHANG Y H,ZHAO G N,ZHANG ZH H. Accurate focusing of non-mydriatic fundus camera[J]. Opt. Precision Eng.,2009,17(5):1014-1019.(in Chinese) [17] 张新洁,颜昌翔,谢涛. 星载光学遥感器调焦机构的设计[J]. 光学 精密工程 ,2009,17(11):2756-2761. ZHANG X J,YAN CH X,XIE T. Design of focusing mechanism of space remote sensor[J]. Opt. Precision Eng.,2009,17(11):2756-2761.(in Chinese)
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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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