摘要
介绍机器视觉在螺丝孔定位中的应用现状、视觉锁螺丝工作站的组成和工作流程,分析总结常用的螺丝孔图像处理算法,选用了一种可提高螺丝孔定位精度的算法。以发光二极管(Light-Emitting Diode,LED)灯螺丝孔为实验研究对象,验证了所用算法的可行性和鲁棒性,得出了算法,提高了定位精度,可为基于机器视觉的螺丝孔定位在工业上的应用提供参考。
This paper introduces the application status of machine vision in screw hole positioning, as well as the composition and workflow of the visual screw locking workstation, analyzes and summarizes the commonly used screw hole image processing algorithms, and selects an algorithm that can improve the screw hole positioning accuracy. The Light Emitting Diode(LED)lamp screw hole is taken as the experimental research object to verify the feasibility and robustness of the algorithm, improve its positioning accuracy, and provide a reference for the industrial application of screw hole positioning based on machine vision.
作者
蒋明华
丁度坤
辛曼玉
黄秋林
袁邦颐
JIANG Minghua;DING Dukun;XIN Manyu;HUANG Qiulin;YUAN Bangyi(Guangdong Huixing Precision Intelligent Manufacturing Co.,Ltd.,Dongguan 523819;School of Electronic Information,Dongguan Polytechnic,Dongguan 523808;Key Laboratory of Guangxi Manufacturing System and Advanced Manufacturing Technology,Guangxi University,Nanning 530003)
出处
《现代制造技术与装备》
2022年第12期66-68,73,共4页
Modern Manufacturing Technology and Equipment
基金
东莞市2021年科技特派员项目(20211800500042)
东莞市STS项目“基于数据驱动的高端制造业生产设备故障诊断及预测研究及应用”(20201600200132)
广西制造系统与先进制造技术重点实验室基金(22-035-4S018)。
关键词
机器视觉
螺丝孔
定位精度
machine vision
screw holes
positioning accuracy
