摘要
针对金属工件具有强反射性和工件形状复杂的特点,设计了一种基于视觉测量技术的复杂工件二维检测系统。采用一种改进的基于灰度矩的亚像素边缘定位算法对边缘进行了精确定位,随后根据边缘点数据拟合出圆心与直线,最终求出工件的各个尺寸参数。测量尺寸参数误差小于0.03 mm,重复性误差±3σ=±4.5μm,实验结果表明,系统具有实时、非接触、速度快、精度高以及抗干扰能力强等优点,可以满足复杂工件尺寸检测的需要。
A two-dimensional measurement system for complex workpieces based on image measurement technology is designed in view of a strong reflection surface and complicated shape of complex workieces. The improved algorithm of sub-pixel edge location is used to locate the edge points exactly based on gray moment. The circle points and lines are fitted by these edge points and the dimension parameters are figured out finally. The measuring error is less than 0.03mm and the repeatability error is ± 4.5 μm. Experiment results show that the system is real-time, non-contact, ligh-speed, high-precision and strong anti-jamming, which can meet the need of dimension detection of complex workpieces.
出处
《北京信息科技大学学报（自然科学版）》
2010年第1期34-37,共4页
Journal of Beijing Information Science and Technology University
基金
北京市重点实验室(机电系统测控)开放课题(KF2008112305)
关键词
视觉检测
二维测量
亚像素边缘定位
vision measurement
two-dimensional measurement
sub-pixel edge location
