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题名:
An improved focusing algorithm based on image definition evaluation
作者: Li hui; Fu Chengyu
出版日期: 2011
会议名称: 2011 2nd International Conference on Artificial Intelligence,Management Science and Electronic Commerce(AIMSEC)
会议日期: 2011
通讯作者: Li hui
中文摘要: 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.
英文摘要: 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.
收录类别: Ei
语种: 英语
文章类型: 会议论文
页码: 2743-2746
内容类型: 会议论文
URI标识: http://ir.ioe.ac.cn/handle/181551/7377
Appears in Collections:光电工程总体研究室(一室)_会议论文

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作者单位: 中国科学院光电技术研究所

Recommended Citation:
Li hui,Fu Chengyu. An improved focusing algorithm based on image definition evaluation[C]. 见:2011 2nd International Conference on Artificial Intelligence,Management Science and Electronic Commerce(AIMSEC). 2011.
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文件名: 2011-01-002.pdf
格式: Adobe PDF
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