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Auto-focusing technology for photoelectric measurement system
LEi Tao; Yang Sihan; Zhang Yong; Wu Qinzhang
Volume7383
2009
Language英语
Indexed ByEi
Subtype会议论文
AbstractAutomatic focusing (AF) is a key technology of measuring TV capturing the clear objective image in photoelectric measurement system. It is viable to enhance the performance of measuring TV through focusing effectively and quickly. In the process of maneuvering target tracking, the background and the feature of targets change from time to time, and the reliability of AF is highly required. Firstly, conditions for starting AF need to be investigated. The relation between degree of definition and edge acutance is proved by experiments. Combined with the sharpness value, it decides whether to begin AF. Secondly, it needs focusing quickly and exactly after starting AF. The accuracy and efficiency of the sharpness function is another key factor of AF. By comparing some favorable sharpness functions, normalized variance and square-gradient functions are employed based on focus windows. Thirdly, the optimized mountain-climb searching algorithm based on the defocusing extents and the adaptive searching step size is proposed. Experiments show the algorithm proposed improves the speed and reliability of AF.; Automatic focusing (AF) is a key technology of measuring TV capturing the clear objective image in photoelectric measurement system. It is viable to enhance the performance of measuring TV through focusing effectively and quickly. In the process of maneuvering target tracking, the background and the feature of targets change from time to time, and the reliability of AF is highly required. Firstly, conditions for starting AF need to be investigated. The relation between degree of definition and edge acutance is proved by experiments. Combined with the sharpness value, it decides whether to begin AF. Secondly, it needs focusing quickly and exactly after starting AF. The accuracy and efficiency of the sharpness function is another key factor of AF. By comparing some favorable sharpness functions, normalized variance and square-gradient functions are employed based on focus windows. Thirdly, the optimized mountain-climb searching algorithm based on the defocusing extents and the adaptive searching step size is proposed. Experiments show the algorithm proposed improves the speed and reliability of AF.
Conference NameProceedings of SPIE
Conference Date2009
Document Type会议论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/7505
Collection光电测控技术研究室(三室)
Corresponding AuthorLEi Tao
Affiliation中国科学院光电技术研究所
Recommended Citation
GB/T 7714
LEi Tao,Yang Sihan,Zhang Yong,et al. Auto-focusing technology for photoelectric measurement system[C],2009.
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