根据光散射原理和视觉检测的方法，研究开发了一种基于机器视觉的眼镜镜片缺陷自动化检测系统，对眼镜镜片进行图像获取、简单的图像处理与分级、分拣，实现对镜片的分类。系统采用并行机构运行，利用低角度前向照明方式获得了镜片表面和内部的斑、杂质、羽毛等缺陷图像；利用归一算法进行图像处理与分级，得到不同缺陷的识别信息。实验结果表明，系统能够检测出镜片中含有的所有缺陷，每个镜片的平均检测时间控制在2 s以内，检测精度为0.038 mm。

According to the light scattering prinliple and visual inspection method, a defect inspection system of spectacle lenses was researched and developed, which was based on the machine vision. Image acquisition, simple image processing, grading and sorting of glasses were done in the system, in order to achieve the classification of glasses. The system adopted parallel institution to run. Low-angled-ring-light-emitting-diode (LED) was used for forward illumination. Clear defect-images of speckle, impurity, feather and so on, which stayed in or on the surface of the glasses were got. Normalization algorithms were used for image processing and glasses grading, and the identifying information of various defects was acquired. The experiment results show that the detection system can detect all of the lenss defects. The system has the detection accuracy of 0.038 mm with the average detection time of each glass less than 2 s.