基于机器视觉的弧形件检测算法  

Inspection algorithm of arc-parts based on machine vision

作　　者：师雪超[1,2] 孙振忠[1] 卢盛林[1] 杨玉梅 

机构地区：[1]东莞理工学院机械工程学院,广东东莞523808 [2]华南理工大学机械与汽车工程学院,广州510640 [3]奥普特自动化有限公司,广东东莞523129

出　　处：《计算机应用》2010年第7期1841-1843,1846,共4页journal of Computer Applications

基　　金：科技型中小企业技术创新基金资助项目(09C26214402123);东莞市科技计划项目(200910814034)

摘　　要：为快速准确地对弧形零件特征参数进行检测,提出了一种基于机器视觉技术检测弧形件的各种特征参数的方法。该方法先采用Canny算子检测图像边缘,然后用三次样条插值方法对图像边缘进行插值并计算其亚像素坐标,最后采用基于切线方向的方法计算曲率值。对离散曲率数据进行处理,计算其均值和方差以及弧形件的弧长、夹角、面积等特征量。实验结果证明:该算法不仅精度高、速度快,而且稳定性好,能满足弧形零件特征参数的检测要求。In order to achieve fast and accurate inspection on the feature parameters of the arc-shaped piece,the paper presented a method that inspected feature parameters of the arc-shaped piece based on machine vision.First,the image edge was extracted by Canny operator and sub-pixel coordinate was computed by a cubic spline interpolation algorithm.Then,discrete curvature was computed by discrete curvature computing method based on tangent direction.The discrete curvature data were arranged;the mean and variance,as well as the arc-length,surface and angle of curved pieces were calculated.The experimental results indicate that the proposed method is of not only high-precision,high-speed but also good-stability,and can satisfy inspection requirement of arc-parts feature parameters.

关 键 词：机器视觉 图像检测 弧形件 亚像素坐标 离散曲率 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]