针对工业大视场物镜畸变成像的实时校正问题, 提出一种校正算法和CPU+GPU并行加速方案.根据光学畸变理论和相机标定技术, 建立非球面畸变校正模型.利用棋盘样板计算光学中心和估计畸变系数, 设计校正算法.在CPU+GPU并行加速方案基础上, 设计内核自适应维度算法并优化运行程序, 结合OPENGL驱动进行实时校正和显示.实验结果表明, 本文设计的实时校正系统对高分辨率的畸变成像校正率可以达到98.2%, 单帧耗时0.026 s, 平均综合加速比为29.1.该系统精度高, 可移植性强, 简单易行, 能够广泛应用于成像畸变的实时校正.

To solve the real-time imaging distortion correction problem of industrial wide-field objective lens, a correction algorithm and CPU+GPU parallel acceleration scheme was proposed. Firstly, a distortion correction model of aspheric surface is established according to the optical distortion theory and the camera calibration technology. Secondly, a correction algorithm is designed by using optical center and estimating distortion coefficients. Finally, based on the CPU+GPU hybrid acceleration platform, the kernel adaptive dimension algorithm is designed and the optimized running program is proposed, combined with OpenGL driver for real-time correction and displaying. The experimental results show that the real-time correction system can achieve a correction rate of 98.2%, single frame time-consuming of 0.026 s, the average overall speedup of 29.1 for high resolution distortion imaging. The imaging system is higher precision, transplantable and more simple, and can be widely used in the real-time imaging distortion correction.