| Auto-focusing technology for photoelectric measurement system | |
| LEi Tao; Yang Sihan; Zhang Yong; Wu Qinzhang | |
| Volume | 7383 |
| 2009 | |
| Language | 英语 |
| Indexed By | Ei |
| Subtype | 会议论文 |
| Abstract | 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.; 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 Name | Proceedings of SPIE |
| Conference Date | 2009 |
| Document Type | 会议论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/7505 |
| Collection | 光电测控技术研究室（三室） |
| Corresponding Author | LEi 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2009-174.pdf（291KB） | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text | ||
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