一种非稳腔激光器光瞳位置提取方法  

A Pupil Position Extraction Method of Unstable Cavity Laser

作　　者：马瑞浩 甘永东[1,2] 李新阳[1,2] 梅月 斯那卓玛 朱枫 贾启旺 吴天祎 MA Ruihao;GAN Yongdong;LI Xinyang;MEI Yue;Sinazhuoma;ZHU Feng;JIA Qiwang;WU Tianyi(Laboratory on Adaptive Optics,Chinese Academy of Sciences,Chengdu 610209,China;Institute of Optics and Electroics,Chinese Academy of Sciences,Chengdu 610209,China)

机构地区：[1]中国科学院自适应光学重点实验室,成都610209 [2]中国科学院光电技术研究所,成都610209

出　　处：《光子学报》2023年第6期206-217,共12页Acta Photonica Sinica

基　　金：中国科学院创新基金项目(No.CXJJ-16S022)。

摘　　要：提出一种非稳腔激光器光瞳位置提取的方法,用于光路自动准直中光瞳位置的提取。首先使用双边滤波对原始图像进行预处理,然后用系数β乘以大津算法的图像阈值得到图像的阈值,对图像进行阈值分割。得到二值图像后,对二值图像进行中值滤波。通过边缘提取算法提取二值图像中的轮廓,然后利用轮廓的中心和组成轮廓的点的数目这两个轮廓属性,找到光瞳图像的内轮廓。使用RANSAC椭圆拟合算法拟合内轮廓,以椭圆的中心作为光瞳的位置。本文提出的光瞳位置提取方法,在满足实时性要求的同时,减少了内轮廓噪声对椭圆拟合的影响,提高了光瞳位置提取结果的准确性和鲁棒性。在100帧仿真光瞳图像的内轮廓中添加40%幅值为0~13的随机噪声点的情况下,所提方法比直接椭圆拟合方法的提取结果具有更高的准确性和鲁棒性,提取位置偏差的AVG比直接椭圆拟合的结果小0.283个像素、位置偏差的最大值小0.660个像素、位置偏差的RMS小0.136个像素。The confocal unstable cavity has been widely used in chemical laser systems due to its large controllable mode volume,high transverse mode discrimination,near-diffraction limit plane wave output,and high power and high quality far-field spots.The guiding light emitted by the laser is reflected back and forth between the two mirrors of the confocal unstable cavity and interferes with each other.In theory,the beam that output from the confocal unstable cavity is multiple concentric rings.However,due to the influence of air disturbance,platform vibration and other factors,the gray level of the output interference concentric rings fluctuates,the light intensity is gradually weakened from inside to outside,and is in rapid dynamic change.These factors increase the difficulty of extracting the optical pupil position of the guiding light in the automatic optical path collimation.In order to solve the difficult problem of optical pupil position extraction in automatic optical path collimation,a method for optical pupil position extraction of unstable cavity laser is proposed in this paper.First,the original image is preprocessed using the bilateral filtering algorithm.After image preprocessing,calculate the image threshold.Multiplying the coefficient by the image threshold of the Otsu algorithm to get the final threshold of the image.After calculating the threshold,performing threshold segmentation on the image.After the binary image is obtained,the median filter is applied to the binary image to reduce the noise in the binary image and fill the small holes in the binary image.Each contour in the binary image is regarded as a separate connected region,and the contours of the binary image are extracted by using the idea of connected region detection.Then,the inner contour of the optical pupil image can be found from many contours by using the two contour attributes of the contour center and the number of points that make up the contour.After finding the inner contour of the optical pupil image,the Random sample consensus(R

关 键 词：光路自动准直 光瞳 RANSAC椭圆拟合 轮廓提取 显卡加速 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]