Laser & Optoelectronics Progress, Volume. 60, Issue 4, 0411003(2023)

Microscope Autofocus Method Based on Image Evaluation

Hai Yang1、*, Xuanzhang Feng1, Jiayi Liu2, and Bingxiang Yang1
Author Affiliations
  • 1School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500, Sichuan, China
  • 2Engineering Management Section of Shunan Gas Mine, Southwest Oil and Gas Field Branch, Chengdu 610506, Sichuan, China
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    This study proposes a static/dynamic automatic focusing method of microscopes based on image clarity evaluation to address the autofocus requirements of microscopes for observing dynamic planar targets. First, following the analysis of the focus-defocus image characteristics, the weighted Tenengrad function evaluation method and image sub-block selection focus window mode are established. Second, the focus search model is established using the simulated annealing theory to target the local maximum problem in the search. Finally, to evaluate the dynamic image, the image blur method is used to determine the dynamic no-reference image defocus level. Based on these, a static focusing model, a dynamic defocus detection and real-time focusing model are established. The experimental verification shows that the static focusing model can make the microscope automatically focus quickly and accurately, whereas the dynamic defocus detection and real-time focusing model can make the microscope meet the requirements of defocus detection and real-time focusing under dynamic observation.

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    Hai Yang, Xuanzhang Feng, Jiayi Liu, Bingxiang Yang. Microscope Autofocus Method Based on Image Evaluation[J]. Laser & Optoelectronics Progress, 2023, 60(4): 0411003

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    Paper Information

    Category: Imaging Systems

    Received: Nov. 29, 2021

    Accepted: Jan. 5, 2022

    Published Online: Feb. 14, 2023

    The Author Email: Yang Hai (yanghaiswpu@163.com)

    DOI:10.3788/LOP213088

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