基于机器视觉的光学镜片测量方法

光学镜片的种类多，每种镜片上待测目标也比较多，现有的图像处理方法测量精度低，对多类型工件适应性差。针对上述问题，现提出基于机器视觉的光学镜片测量方法。首先基于改进的Harris角点检测对工件进行角点定位，其次采用最小二乘法分段拟合角点间的几何基元，最后根据每一类待测目标模板提取的尺寸索引信息，测量几何基元之间的尺寸。实验结果表明：该方法不仅可以针对多种工件，对具有毛刺边缘工件也可以做到高精度测量，通过对比本文测量与基恩士三维测量仪测量的偏差进行分析、计算均方差，得到方法的精度为±0.02mm，重复测量偏差的均方差在0.01mm以内。

Measuring method of optical lens size based on machine vision

There are many types of optical lenses, and there are many objects to be tested on each type of lens. Traditional image processing methods have low measurement accuracy and poor adaptability to multiple types of workpieces. In response to the above problems, an optical lens measurement method based on machine vision is now proposed. Firstly, the corner points of the workpiece are located based on the improved Harris corner point detection. Secondly, the geometric primitives between the corner points are fitted by the least square method. Finally, the index information of the template size of each type of target is extracted, and the geometric basis is measured. The size between yuan. The experimental results show that this method can not only target a variety of workpieces, but also can perform high-precision measurement on workpieces with burr edges. By comparing the deviation of the measurement in this paper with that of the Keyence three-dimensional measuring instrument, the paper is obtained by analyzing the deviation and calculating the mean square error. The accuracy of the method is ±0.02mm, and the mean square error of the repeated measurement deviation is within 0.01mm.