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基于视频图像处理的快速对焦方法研究
引用本文:郑佳,周建忠,何大华. 基于视频图像处理的快速对焦方法研究[J]. 光学与光电技术, 2010, 8(3): 57-60
作者姓名:郑佳  周建忠  何大华
作者单位:1. 华中光电技术研究所-武汉光电国家实验室,湖北,武汉,430073
2. 中国人民解放军91404部队93分队,河北,秦皇岛066001
摘    要:对焦速度与精度是自动对焦系统中最重要的两个参数,它们决定系统能否迅速地定位到焦点处,以获取清晰的图像。通过对比连续帧图像局部区域清晰度评价函数值来判断对焦趋势,同时控制对焦驱动电机的转动方向,最后进行反向搜索并与最大判据值比较以寻找到最佳成像位置,成功对焦所需最长时间小于2s。经过大量实验证明该方法具有较好的实时性和精确性。

关 键 词:图像处理  自动对焦  图像清晰度  评价函数  搜索方法

Fast Auto-Focusing Algorithm Based on Video Image Processing
ZHENG Jia,ZHOU Jian-zhong,HE Da-hua. Fast Auto-Focusing Algorithm Based on Video Image Processing[J]. optics&optoelectronic technology, 2010, 8(3): 57-60
Authors:ZHENG Jia  ZHOU Jian-zhong  HE Da-hua
Affiliation:1 Huazhong Institute of Electro-Optics--Wuhan National Laboratory for Optoelectronics, Wuhan 430073, China; 2 Unit 91404 of PLA, Qinhuangdao 066001, China )
Abstract:The velocity and precision are two important aspects of the auto-locus system. They can decide the whether systern can quickly locate the focusing point to obtain clear image. The auto-focusing algorithm based on the image sharpness m CCD camera systems is studied in this paper. Firstly, the method discerns the focus trend through comparing evaluation data of serial sub images, then it changes the motor running direction according to the focus trend. Secondly, it searchs the best focusing position in reverse direction depending on judgement condition, and the maximum time of successful focusing is less than two seconds. The experimental results show that the algorithm has good real time property and accuracy degree.
Keywords:image processing  auto-focusing  image sharpness  evaluation function  searching algorithm
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