| 基于机器视觉的铁路货车滚动轴承表面缺陷检测 |
| |
| 引用本文： | 涂宏斌,周新建.基于机器视觉的铁路货车滚动轴承表面缺陷检测[J].电子测量技术,2006,29(6):202-204. |
| |
| 作者姓名： | 涂宏斌 周新建 |
| |
| 作者单位： | 华东交通大学CAD/CAM研究室,南昌,330013 |
| |
| 摘 要： | 针对目前轴承缺陷检测操作复杂、速度慢、精确度低等缺点,利用数字图像处理技术,设计出基于CCD成像技术的轴承缺陷非接触在线检测系统,讨论了系统中灯光、摄像机的安装位置对成像的影响,提出利用图像特征的麻点的检测方法,该系统能对麻点缺陷进行识别,对缺陷的区域进行测定。现场测试表明,系统操作简单、速度快、精确度高、为轴承缺陷检测提供了一种新方法。
|
| 关 键 词： | 图像分割 表面缺陷 滚动轴承 机器视觉 |
Detection of railway fright car rooler bearing surface defects base on computer vision |
| |
| Tu Hongbin,Zhou Xinjian.Detection of railway fright car rooler bearing surface defects base on computer vision[J].Electronic Measurement Technology,2006,29(6):202-204. |
| |
| Authors: | Tu Hongbin Zhou Xinjian |
| |
| Affiliation: | Research Lab CAD/CAM East China Jiaotong University, Nanchang 330013 |
| |
| Abstract: | Based on CCD image measuring and processing techniques, an online non-touch measuring system for measurement of bearing pitting is developed. The effects of system illumination and configuration of cameras are emphasized, and a novel pitting measuring algorithm are brought forward based on image processing. Experiments indicate that the system has a strong ability of anti-disturbance and high detection accuracy. |
| |
| Keywords: | image segment surface defect roller bearing computer vision |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
