基于机器视觉的灯模组照度检测研究

Research on Illumination Detection of Lamp Module Based on Machine Vision

传统的灯模组照度检测方法,由于检测技术差别区分的能力较弱,导致对不同灯模组进行照度检测时,检测结果严重失真。因此笔者研究基于机器视觉的灯模组照度检测方法。该方法利用RGB像素值法获取灯模组照度信息,采用加权平均值法灰度化处理灯模组照度图像,采用计算总光通量实现基于机器视觉的灯模组照度检测。实验结果表明:该灯模组照度检测方法区分光照的能力更强,得到的照度结果偏差极小。

Because of the weak ability to distinguish between different detection technologies,the traditional method of illuminance detection for different lamp modules results in serious distortion.Therefore,the illumination detection method of light module based on machine vision is studied.In this method,RGB pixel value method is used to obtain illumination information of lamp module,weighted average method is used to process illumination image of lamp module,and machine vision based illumination detection of lamp module is realized by calculating total light flux.The experimental results show that the illuminance detection method of the lamp module has stronger ability to distinguish the illumination,and the deviation of the illuminance results is very small.