High Power Laser and Particle Beams, Volume. 32, Issue 5, 051002(2020)

Optical cavity self-collimation research method based on image processing

Jingrun Li1...2, Mudi Xiong1 and Zengbao Zhang2,* |Show fewer author(s)
Author Affiliations
  • 1Dalian Maritime University, Institute of Information Technology, Dalian 116026, China
  • 2Key Laboratory of Chemical Lasers, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian 116023, China
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    Aiming at the fact that with the increasing output energy of oxygen-iodine chemical lasers in China, one of the main factors limiting the quality of the beam is the misalignment of the optical cavity during the light emission process, a method for self-collimation of optical resonators based on image processing was proposed. This research method uses helium-neon light to pass through the central hole of the concave cavity mirror, and an industrial camera is placed behind the convex cavity mirror to form an interference concentric ring above the screen. Through the image processing methods such as binarization and Hoff circle detection in the OpenCV library, the center coordinates of the interference concentric ring are obtained, and the image is divided into four parts: upper, lower, left, and right. The difference of the number of bright pixels between these four parts is used to estimate the offset state of the interference concentric ring, and then the theoretical criterion for the change of the optical resonator under the cavity condition is obtained. The experimental results show that this method can obtain quite accurate optical resonance cavity misalignment criterion. The misalignment criterion is selected from the difference between the left and right bright pixels of 30 000, and the difference between the upper and lower bright pixels of 45 000.

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    Jingrun Li, Mudi Xiong, Zengbao Zhang. Optical cavity self-collimation research method based on image processing[J]. High Power Laser and Particle Beams, 2020, 32(5): 051002

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    Paper Information

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    Received: Dec. 9, 2019

    Accepted: --

    Published Online: Apr. 24, 2020

    The Author Email: Zhang Zengbao (13500732716@163.com)

    DOI:10.11884/HPLPB202032.190457

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