【摘要】 针对在车灯模组的照度检测过程中,车灯模组照度图像采集时由于摄像系统安装位置产生的畸变问题,采用平面模板法,通过畸变校正算法对系统进行畸变校正,减小因图像坐标位置失真造成的测量误差;针对摄像系统像面照度不均匀性对图像灰度值的影响,通过照度均匀度校正实验获取摄像系统的校正系数后,采用基于麦夸特法与通用全局优化算法结合的曲面拟合法对校正系数进行处理,得到像素坐标与校正系数的函数模型,实现图像灰度值的校正。对校正后的摄像系统进行灰度-照度标定,建立灰度-照度关系,提高车灯模组照度检测的精度。实验结果表明:车灯模组照度检测的误差基本控制在10%以内,重复性误差小于1%,具有较高的准确性和可靠性。更多还原

【Abstract】 In order to solve the problem of distortion caused by the installation position of the camera system when the illumination image of the lamp module is collected,the plane template method is used to correct the distortion of the system through the distortion correction algorithm,so as to reduce the measurement error caused by the distortion of the image coordinate position. In view of the influence of the uneven illumination of the image plane on the gray value of the image,the method of plane template is used to correct the distortion of the system. After the correction coefficient of the camera system is obtained in the illumination uniformity correction experiment,the correction coefficient is processed by the surface fitting method based on the combination of Marquardt method and general global optimization algorithm,and the function model of pixel coordinates and correction coefficient is obtained to realize the correction of image gray value. The calibration of the corrected camera system is carried out to establish the relationship between gray level and illuminance,so as to improve the accuracy of illumination detection of lamp module. The experimental results show that the error of illuminance detection of lamp module is basically controlled within 10%,and the repeatability error is less than 1%,which has high accuracy and reliability.更多还原