基于机器视觉的轴承防尘盖检测算法

为实现工业现场对轴承防尘盖的自动检测，对机器视觉检测的关键技术进行了研究，提出一套基于机器视觉对轴承防尘盖的检测，针对轴承图像的特点，采用了一种最小二乘法进行圆拟合圆检测算法，完成了轴承防尘盖区域的提取，对连通区域的特征进行了分析，再进行量化处理和判断.实验结果表明，该方法实时性好，准确率高，可以满足工业检测需求.

Detection Algorithm of Bearing Dustproof Cover Based on Machine Vision

In order to realize automatic detection of bearing dust cover in industrial field, the key technology of machine vision detection is studied, and a set of bearing dust cover detection is put forward based on machine vision. According to the characteristics of the bearing image, based on image filtering, a least square method is used to carry out circle fitting circle detection algorithm, the bearing detection and extraction of the ROI area are completed. The characteristics of the connected region are analyzed, then binary and morphological operations are carried out, and finally quantitatively processed and judged. The experimental results show that the method has good real-time performance and high detection accuracy, and can meet the industrial requirement of automatic detection of the bearing dust cover.