期刊文献+

基于图像清晰度评价的跟踪望远镜自动调焦算法研究

Study on auto-focus algorithm of tracking telescope based on image definition evaluation
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摘要 为了减小跟踪望远镜调焦时间,分析了自动调焦的光学原理及数字图像处理相关技术,提出一种适合跟踪望远镜的实时自动调焦算法。该算法基于对图像清晰度的评价,通过步进电机驱动次镜移动来搜索最佳成像位置,并且综合了全局搜索法与传统爬山法的优点。在实验中,完成了对远处静态目标自动对焦,有效地避免了局部峰值导致的对焦失败,在保证系统调焦精度的前提下使对焦速度小于3s。 In order to reduce the auto-focus time of tracking telescope, the auto-focus theory and technology concerning digital image processing are analyzed, and a practical real-time autofocus algorithm for tracking telescope is presented in this paper. Based on evaluation of the image sharpness, the focused position is obtained via moving the secondary mirror driven by the stepping motor in this algorithm which integrates the merit of the global search and traditional climbing search algorithm. In this experiment, the distant static object is autofocused, and the failure caused by the local peak value is successfully avoided. Finally, the total time of auto-focus is less than 3 second and the auto-focus precision of the system can be guaranteed.
出处 《光学仪器》 2010年第5期69-73,共5页 Optical Instruments
基金 中国科学院重点实验室预研基金资助课题(A09k002)
关键词 自动调焦 图像清晰度评价函数 跟踪望远镜 步进电机 auto-focus image sharpness functions tracking telescope stepping motor
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参考文献7

  • 1KEHTARNARAZ N,OH H J.Development and real-time implementation of a rule-based auto-focus algorithm[J].Real-Time Imaging,2003,9:197-203.
  • 2王立升.移动式光电经纬仪光学设计[J].光学精密工程,1995,3(5):29-37. 被引量:1
  • 3VOLLATH D.The influence of the scene parameters and of noise on the behaviour of automatic focusing algorithms[J].J Microsc,1988,151:133-146.
  • 4陈国金,朱妙芬,张克松.图像调焦过程的清晰度评价函数研究[J].数据采集与处理,2009,24(2):165-169. 被引量:25
  • 5王勇,谭毅华,田金文.一种新的图像清晰度评价函数[J].武汉理工大学学报,2007,29(3):124-126. 被引量:27
  • 6SUBBARAO M,TYAN J.The optimal focus measure for passive autofocusing and depth-from-focus[A].SPIE Symposium on Video metrics IV[C].Philadelphia:SPIE,1995:89-99.
  • 7NATHANIEL N,AUN N,MARCELO A.Practical issues in pixel-based autofocusing for machine vision[A].IEEE International Conference on Robtics and Automation[C].Seoul:IEEE,2001:2791-2796.

二级参考文献21

  • 1Santos A, Solorzano C O, Vaquero J J, et al. Evaluation of autofocus functions in molecular autogenetic[J]. Journal of Microscopy, 1997, 188(3): 264- 272.
  • 2Cook F L, Culp K, Talsania K, et al. Comparison of autofocus methods for automated microseopy[J]. Cytometry, 1991, 12:195-206.
  • 3Vollath D. Automatic focusing by correlative methods[J]. Microsc, 1987, 147: 279-288.
  • 4Vollath D. The influence of the scene parameters and of noise on the behaviour of automatic focusing algorithms[J]. J Microsc, 1988, 151:133-146.
  • 5Subbarao M, Choi T S, Nikzad A. Focusing techniques [J]. Optical Engineering, 1993, 32 (11): 2824-2836.
  • 6Castleman KR 朱志刚 译.数字图像处理[M].北京:电子工业出版社,1998..
  • 7沈庭芳,方子文.数字图像处理及模式识别[M].北京:北京理工大学出版社,1998:150—161.
  • 8Yi Yao,Besma Abidi,Narjes Doggaz,et al.Evaluation of Sharpness Measures and Search Algorithms for the Auto-focusing of High Magnification Images[J].Visual Information Processing,2006,(6246):1-12.
  • 9Kehtarnavaza N,Oh H J.Development and Real-time Implementation of a Rule-based Auto-focus Algorithm[J].Real-time Imaging,2003,(9):197-203.
  • 10Meng Bo,Zhu Ming,Cai Chang-jin.Design of Video Auto Focusing Based on Image Processing[J].Optical Information Processing,2006,(6027):501-509.

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