An auto-focus algorithm based on maximum gradient and threshold
文献类型:会议论文
作者 | Chunhong Mo ; Bo Liu |
出版日期 | 2012 |
页码 | 1191-1194 |
中文摘要 | in order to overcome the disadvantages of the traditional auto-focus algorithms which are poor in real-time performance, weak in anti-noise capability and vulnerable to the influence of contrast and background pixels, this paper proposes an auto-focus algorithm based on maximum gradient and threshold. it introduces a threshold factor and takes a new kind of adaptive threshold to remove the pixels contaminated by noise and background in the image, then uses improved sobel operators to extract maximum gray gradient after image preprocessing and calculates evaluation value. the experimental results show that the proposed algorithm has good real-time performance, strong unimodality, high sensitivity and strong anti-noise capability. in addition, the algorithm is less influenced by contrast and background pixels of the image. it can also control the sensitivity and focusing range of the focusing function. so the proposed algorithm is most suitable for auto-focus subsystem of video monitoring and tracking system. |
收录类别 | CPCI(ISTP) ; EI |
合作状况 | 国内 |
会议录 | 2012 5th international congress on image and signal processing, cisp 2012
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会议录出版者 | ieee computer society |
会议录出版地 | 2001 l street n.w., suite 700, washington, dc 20036-4928, united states |
语种 | 英语 |
ISBN号 | 9781467309622 |
源URL | [http://ir.opt.ac.cn/handle/181661/20838] ![]() |
专题 | 西安光学精密机械研究所_光电测量技术实验室 |
推荐引用方式 GB/T 7714 | Chunhong Mo,Bo Liu. An auto-focus algorithm based on maximum gradient and threshold[C]. 见:. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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