An improved focusing algorithm based on image definition evaluation | |
Li hui; Fu Chengyu | |
Pages | 2743-2746 |
2011 | |
Language | 英语 |
Indexed By | Ei |
Subtype | 会议论文 |
Abstract | In order to overcome the limitations of traditional focusing function, the reasons why traditional approach lower the focusing precision are analyzed, and a theory based on curve fitting and probabilistic model is proposed. This algorithm can effectively improve the limitations that one focusing function is applicable to one type of image only, so that the classical image definition evaluation function are able to determine the focal position. We accomplished some experiments based on the images obtained from the CCD of the lab. Experimental results show that the proposed focusing algorithm based on definition evaluation function has an excellent focusing performance, good noise immunity and practical applications.; In order to overcome the limitations of traditional focusing function, the reasons why traditional approach lower the focusing precision are analyzed, and a theory based on curve fitting and probabilistic model is proposed. This algorithm can effectively improve the limitations that one focusing function is applicable to one type of image only, so that the classical image definition evaluation function are able to determine the focal position. We accomplished some experiments based on the images obtained from the CCD of the lab. Experimental results show that the proposed focusing algorithm based on definition evaluation function has an excellent focusing performance, good noise immunity and practical applications. |
Conference Name | 2011 2nd International Conference on Artificial Intelligence,Management Science and Electronic Commerce(AIMSEC) |
Conference Date | 2011 |
Document Type | 会议论文 |
Identifier | http://ir.ioe.ac.cn/handle/181551/7377 |
Collection | 光电工程总体研究室(一室) |
Corresponding Author | Li hui |
Affiliation | 中国科学院光电技术研究所 |
Recommended Citation GB/T 7714 | Li hui,Fu Chengyu. An improved focusing algorithm based on image definition evaluation[C],2011:2743-2746. |
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File Name/Size | DocType | Version | Access | License | ||
2011-01-002.pdf(274KB) | 会议论文 | 开放获取 | CC BY-NC-SA | Application Full Text |
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