一种基于ARM的钢管焊渣条分叉视觉检测系统  

A vision system based on ARM for detection of bifurcations of welding slag of steel pipes

作　　者：何相呈 祝钊[1] 苏真伟[1] 陈谋钦[1] 

机构地区：[1]四川大学制造科学与工程学院,四川成都610065

出　　处：《机械》2014年第1期66-69,共4页Machinery

基　　金：国家自然科学基金资助项目(31371536)

摘　　要：采用机器视觉技术,设计了一种基于ARM、以USB网络摄像头采集图像的焊渣条分叉自动检测系统。对图像进行二值化处理后,系统根据对象边缘像素点的分布识别焊渣条是否分叉,并驱动相应的声光报警器报警。试验证明,该系统能自动检测焊渣条分叉,体积小,性价比高,在低速低精度的检测场合具备较高的推广应用价值。Using a machine vision technique, an auto-system based on ARM for detection of bifurcations of welding slag line is presented in the paper, which used a USB webcam for image acquisition. After an image binaried, according to the pixels distribution of an object edge of the image, the system can identify whether the welding slag line bifurcates, and then drive the corresponding sound and light alarm to work. The experimental results showed that the system can automatically detect bifurcations of welding slag line, which is in a small volume and high rate of cost to the performance. Thus, it has a high value in the application in the low precision and low speed detection.

关 键 词：ARM 机器视觉 视觉检测 算法设计 

分 类 号：TP274.5[自动化与计算机技术—检测技术与自动化装置]