Lin Zhonglin, Liu Wenchao, Gan Jinyu, Lu Jilian, Huang Feng, Wu Xianyu, Wang Weixiong
School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Sensors (Basel). 2023 Sep 9;23(18):7777. doi: 10.3390/s23187777.
Risley-prism-based image sensors can expand the imaging field of view through beam control. The larger the top angle of the prism, the higher the magnification of the field of view, but at the same time, it aggravates the problem of imaging aberrations, which also puts higher requirements on the aberration correction method for the Risley-prism-based image sensor. To improve the speed, accuracy, and stability of the aberration correction process, an automatic calibration method for the Risley-prism-based image sensor is proposed based on a two-axis turntable. The image datasets of the calibration plate with different prism rotation angles and object distances are acquired using a two-axis turntable. Then, the images of the calibration plate are pre-processed using the bicubic interpolation algorithm. The calibration parameters are finally calculated, and parameter optimization is performed. The experimental results verify the feasibility of this automated calibration method. The reprojection error of the calibration is within 0.26 pixels when the distance of the imaging sensor is 3.6 m from the object, and the fine aberration correction results are observed.
基于里斯利棱镜的图像传感器可以通过光束控制来扩展成像视野。棱镜的顶角越大，视野的放大倍数越高，但同时也加剧了成像像差问题，这也对基于里斯利棱镜的图像传感器的像差校正方法提出了更高要求。为了提高像差校正过程的速度、准确性和稳定性，提出了一种基于双轴转台的基于里斯利棱镜的图像传感器自动校准方法。利用双轴转台采集不同棱镜旋转角度和物距的校准板图像数据集。然后，使用双三次插值算法对校准板图像进行预处理。最后计算校准参数，并进行参数优化。实验结果验证了这种自动校准方法的可行性。当成像传感器与物体的距离为3.6 m时，校准的重投影误差在0.26像素以内，并且观察到了精细的像差校正结果。
