基于数字图像处理技术的树脂眼镜镜片缺陷检测研究

通过设计的镜片自动检测光学硬件系统，给出了树脂镜片精细杂质图像处理措施，将图像差分法应用于镜片图像边缘的去除；同时解决了镜片检测灰尘影响的问题；另外运用改进型的归一法解决杂质计数问题，为自动化分级分拣系统的研发提供重要的数据支持，为镜片缺陷检测系统的后续分级分拣的数字控制模块提供了可操作性。该检测系统检测精度为0.03 mm、速度为1片/s，检测误差控制在5%。

Defect detection for resin lenses based on digital image processing technology

The automatic defect detection technology for resin lenses was studied, including its hardware system design and its image processing method. The image difference method was used to remove the edge of the lens image in order to obtain high detecting speed, the effect of dust in lens detection was solved, and an improved normalization method was also proposed to determine the number of defects, which could provide technical support and feasibility for the development of subsequent digital control module of the classifying and sorting system of the whole resin lenses defect detection system. Detection accuracy of the detection system is 0.03 mm, speed is 1 piece/s, and the measuring error is maintained below 5%.