Volume 32 Issue 5
Feb.  2020
Turn off MathJax
Article Contents
Li Jingrun, Xiong Mudi, Zhang Zengbao. Optical cavity self-collimation research method based on image processing[J]. High Power Laser and Particle Beams, 2020, 32: 051002. doi: 10.11884/HPLPB202032.190457
Citation: Li Jingrun, Xiong Mudi, Zhang Zengbao. Optical cavity self-collimation research method based on image processing[J]. High Power Laser and Particle Beams, 2020, 32: 051002. doi: 10.11884/HPLPB202032.190457

Optical cavity self-collimation research method based on image processing

doi: 10.11884/HPLPB202032.190457
  • Received Date: 2019-12-09
  • Rev Recd Date: 2020-02-09
  • Publish Date: 2020-02-10
  • 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.

  • loading
  • [1]
    熊木地, 贾思楠, 张增宝, 等. 三点式氧碘化学激光器光腔准直技术[J]. 强激光与粒子束, 2007, 19(11):1812-1816. (Xiong Mudi, Jia Sinan, Zhang Zengbao, et al. Optical cavity collimation technology of three-point oxygen-iodine chemical laser[J]. High Power Laser and Particle Beams, 2007, 19(11): 1812-1816
    [2]
    尹新华, 梁永辉, 谢文科, 等. 正支共焦非稳腔的自动准直调整实验研究[J]. 光学与光电技术, 2009, 7(2):86-89. (Yin Xinhua, Liang Yonghui, Xie Wenke, et al. Experimental research on automatic collimation adjustment of positively supported confocal unstable cavity[J]. Optics and Optoelectronics, 2009, 7(2): 86-89 doi: 10.3969/j.issn.1672-3392.2009.02.023
    [3]
    尹新华. 基于SPGD优化算法的正支共焦非稳腔自动准直调整技术研究[D]. 长沙: 国防科学技术大学, 2008.

    Yin Xinhua. Research on positive collimation and confocal unstable cavity automatic collimation adjustment technology based on SPGD optimization algorithm[D]. Changsha: National University of Defense Technology, 2008
    [4]
    许晨晨, 戴舒, 张保俊, 等. 基于Matlab的图像直方图选择去噪方法[J]. 计算机与网络, 2019, 45(16):34-35. (Xu Chenchen, Dai Shu, Zhang Baojun, et al. Denoising method of image histogram selection based on Matlab[J]. Computer and Network, 2019, 45(16): 34-35 doi: 10.3969/j.issn.1008-1739.2019.16.031
    [5]
    胡亚红, 邓年茂, 何俊华, 等. 激光谐振腔自动稳定调节的一种方法[J]. 光子学报, 2001, 30(7):871-874. (Hu Yahong, Deng Nianmao, He Junhua, et al. A method for automatic stable adjustment of laser resonant cavity[J]. Journal of Photonics, 2001, 30(7): 871-874
    [6]
    王亚妮, 胡有宁, 李广文. 基于最小二乘法的圆柱体油罐装置拟合[J]. 西安文理学院学报(自然科学版), 2017, 20(6):11-14. (Wang Ya'ni, Hu Youning, Li Guangwen. Fitting of cylindrical oil tank device based on least square method[J]. Journal of Xi'an University of Arts and Science (Natural Science Edition), 2017, 20(6): 11-14
    [7]
    于彭, 蒋理兴, 王安成, 等. 外缺圆圆心检测[J]. 测绘与空间地理信息, 2018, 41(7):207-211. (Yu Peng, Jiang Lixing, Wang Ancheng, et al. Outer circle center detection[J]. Surveying and Spatial Geographic Information, 2018, 41(7): 207-211 doi: 10.3969/j.issn.1672-5867.2018.07.058
    [8]
    沈新平, 彭刚, 袁志强. 基于霍夫变换和RANSAC算法的绝缘子定位方法[J]. 电子测量技术, 2017, 40(6):132-137. (Shen Xinping, Peng Gang, Yuan Zhiqiang. Insulator positioning method based on Hough transform and RANSAC algorithm[J]. Electronic Measurement Technology, 2017, 40(6): 132-137 doi: 10.3969/j.issn.1002-7300.2017.06.030
    [9]
    仲崇权, 赵亮. 基于霍夫变换的工位点识别算法设计与实现[J]. 物联网技术, 2016, 6(8):14-17. (Zhong Chongquan, Zhao Liang. Design and implementation of station identification algorithm based on hough transform[J]. Internet of Things Technology, 2016, 6(8): 14-17
    [10]
    毛庆洲, 潘志敏, 高文武. 利用迭代霍夫圆变换实现成捆棒材可靠计数[J]. 武汉大学学报(信息科学版), 2014, 39(3):373-378. (Mao Qingzhou, Pan Zhimin, Gao Wenwu. Using iterative Hough round transform and connected area to count steel bars reliabley[J]. Geomatics and Information Science of Wuhan University, 2014, 39(3): 373-378
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)  / Tables(5)

    Article views (1377) PDF downloads(43) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return