摘要
设计了一套轴承套圈缺陷检测系统,以替代效率低、成本高的人工检测。首先,由线阵相机采集轴承套圈内外表面图像,经过图像扭曲矫正后进行分段处理,结合区域提取方法检测套圈的边缘缺陷;其次,通过对比原图与均值图的差异,快速凸显出表面是否存在缺陷;然后,采用面阵相机采集轴承套圈上下端面图像。通过对图像进行滤波及二值化、相机和镜头的标定、形态学去除内壁和大小径边缘提取等步骤,达到尺寸检测、分类的目的。
A machine vision system for detection of bearing ring defect is designed for replacing the low efficiency and high cost manual detection. Firstly, the inner and outer surface images of the bearing rings are collected by the line - scan cameras. After the image distortion correction, the image processing is segmented and the edge defect of the bearing ring is detected by the region extraction method. Secondly, by comparing the original image and the mean image, the surface defect is recognized quickly. Furthermore, the area camera is used to collect the images of the upper and lower end faces of the bearing rings. By filtering and binarizing the images, calibrating the camera and lens, removing the inner wall from the inner wall and extracting the edge of the large and small diameter, the purpose of size detection and classification is achieved.
作者
卢满怀
范帅
汤绮婷
Lu Manhuai Fan Shuai Tang Qiting(Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
出处
《轴承》
北大核心
2017年第5期39-44,共6页
Bearing
基金
2016年中山市科技计划项目(2016B2150)
关键词
滚动轴承
套圈
表面缺陷
机器视觉
图像处理
rolling bearing
ring
surface defect
machine vision
image processing
