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A fast autofocus sharpness function of microvision system based on the Robert function and Gauss fitting
Author(s) -
Sha Xiaopeng,
Wang Pu,
Shan Peng,
Li Huiguang,
Li Zhiquan
Publication year - 2017
Publication title -
microscopy research and technique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.536
H-Index - 118
eISSN - 1097-0029
pISSN - 1059-910X
DOI - 10.1002/jemt.22906
Subject(s) - autofocus , function (biology) , focus (optics) , gauss , curve fitting , algorithm , value (mathematics) , set (abstract data type) , computer science , mathematics , computer vision , artificial intelligence , optics , physics , statistics , quantum mechanics , evolutionary biology , biology , programming language
For the microvision system, a new autofocus evaluation function based on the Robert function is proposed by increasing the threshold value. Compared with the traditional evaluation function, the new focus function reduces the local extreme value and increases the steepness of the focusing curve. According to the characteristics of the focusing evaluation function, the focus curve can be divided into two stages: the gentle area and the steep area. In the gentle area, there will be set a large step‐length to realize the fast search. In the steep area, the data will be fitted by Gauss method, and on the basis of the fitting results, the motor of microvision system was directly driven to achieve the focal plane and this method has been improved in real‐time and accuracy.