| 题名: | An improved focusing algorithm based on image definition evaluation |
| 作者: | Li hui; Fu Chengyu
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| 出版日期: | 2011
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| 会议名称: | 2011 2nd International Conference on Artificial Intelligence,Management Science and Electronic Commerce(AIMSEC)
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| 会议日期: | 2011
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| 通讯作者: | Li hui
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| 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
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| 语种: | 英语
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| 文章类型: | 会议论文
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| 页码: | 2743-2746
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| 内容类型: | 会议论文
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| URI标识: | http://ir.ioe.ac.cn/handle/181551/7377
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| Appears in Collections: | 光电工程总体研究室（一室）_会议论文
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| 2011-01-002.pdf（274KB） | 会议论文 | -- | 限制开放 | | View
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| 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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