4.5 Article

Microscope images automatic focus algorithm based on eight-neighborhood operator and least square planar fitting

期刊

OPTIK
卷 206, 期 -, 页码 -

出版社

ELSEVIER GMBH
DOI: 10.1016/j.ijleo.2020.164232

关键词

Microscope autofocus; Automatic microscope image acquisition; Eight-neighborhood operator; Least square planar fitting

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资金

  1. National Natural Science Foundation of China [61402227]
  2. Natural Science Foundation of Hunan Province, China [2019JJ50618]
  3. Degree & Postgraduate Education Reform Project of Hunan Province, China [2019JGYB116]
  4. project of Xiangtan University,Xiangtan, Chian [11kz/kz08055]
  5. key discipline of computer science and technology in Hunan province, China

向作者/读者索取更多资源

An automatic focus algorithm based on eight-neighborhood operator and least square planar fitting method is proposed to acquire the three-dimensional microscope focusing images in this paper. Firstly, eight-neighborhood operator and evaluation function are presented to locate the cells in the low-power microscope images in this paper. Then the automatic focus algorithm based on eight-neighborhood operator and least square planar fitting method is given to acquire the three-dimensional microscope cell images. After that, some experiments are given in the paper. The eight-neighborhood operator is compared with the traditional evaluation function in terms of the complexity of the operation and the effect of the evaluation function. Also, comparative experiments are conducted to verify the feasibility of the automatic focus algorithm in this paper. The experimental results showed that the proposed microscope automatic focus algorithm is effective and has a good fitting degree.

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