【摘要】 为了保证双波长光纤导引光在高精度装调设备中的成功应用，设计了一种基于OpenCV(Open Source Computer Vision Library)的图像处理算法。采用主动调整曝光模式对CCD(Charge-coupled Device)相机进行主动调焦，利用OpenCV分析典型图像处理算法，调整算法参数，通过最小二乘法拟合图像，绘制中心坐标，最终实现输出理想的图像。经检测分析，图像校准的精度平均值为4.54μrad。该算法能够捕捉、识别并实时跟踪目标，将计算机识别的中心坐标打印到输出的图像上，提高了双波长光纤导引光对装调设备的装调精度。更多还原

【Abstract】 In order to ensure the successful application of dual-wavelength fiber-optic light in high-precision alignment equipment, an image processing algorithm based on OpenCV(Open-Source Computer Vision Library) was designed. The active adjustment exposure mode is used to actively adjust the focus of the CCD(Charge-coupled Device) camera, OpenCV is used to analyze typical image processing algorithms.Through computer analysis of algorithms, adjustment of parameters, fitting of images and drawing of center coordinates, an ideal image is output. After detection and analysis, the average accuracy of image calibration is 4. 54 μrad. This algorithm can capture, identify, and track targets in real time, and print the center coordinates recognized by the computer onto the output image, thus improving the accuracy of the installation and adjustment of the dual-wavelength optical fiber guide light and realizing dual-wavelength optical fiber guidance.更多还原