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

作　　者：李衡[1,2] 黄永梅[1] 安涛[1,2] 

机构地区：[1]中国科学院光电技术研究所,四川成都610209 [2]中国科学院研究生院,北京100039

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)

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.

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 

分 类 号：TH743[机械工程—光学工程]