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作 者:郑张 邬春学[1] 张生[1] 林晓[2] ZHENG Zhang;WU Chunxue;ZHANG Sheng;LIN Xiao(School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;College of Information and Electrical Engineering,Shanghai Normal University,Shanghai 201418,China)
机构地区:[1]上海理工大学光电信息与计算机工程学院,上海200093 [2]上海师范大学信息与机电工程学院,上海201418
出 处:《智能计算机与应用》2021年第7期106-112,共7页Intelligent Computer and Applications
基 金:国家重点研发计划(2018YFB1702601);国家重点研发计划(2018YFC0810204);上海科技创新行动计划科研计划项目(19511105103);上海科技创新行动计划项目(17511107203);上海科技创新行动计划项目(16111107502);航天东方红课题军工项目(654b159b2385-006-001)。
摘 要:在复杂空间的自动化装配过程中,模块与模块安装位置的安装孔之间需要在孔位对准后用螺丝固定,针对这一问题,设计实现了一种精细对孔方法。该方法从安装孔视频流中定时读取一帧图像,在对图像进行滤波去噪、边缘检测等操作后,采用最小二乘法检测安装孔圆心坐标信息,根据安装孔之间的圆心距判断安装孔是否对准。实验在0.0625 mm的标定精度下,Hough圆变换和最小二乘法的圆心距检测结果分别是0.125 mm和0.06 mm。实验结果表明,在高精度的标定结果下,相比较Hough圆变换,最小二乘法能够更好地检测到安装孔的圆心坐标信息并实现精细对孔,同时表明该精细对孔方法是可行的。In the automatic assembly process of complex space,the mounting holes of the module and module installation site need to be fixed with screws after the holes are aligned.Aiming at this problem,a fine hole alignment method is designed and implemented.This method reads a frame image from the video stream of the mounting hole at the same interval.After filtering,denoising,edge detection,and other operations for the image,the Least Square Method is used to detect the center coordinate information of the mounting hole,and judge whether the mounting hole is aligned according to the center distance between the mounting holes.Under the calibration accuracy of 0.0625 mm,the test results of the center distance of Hough circle transform and Least Square Method are 0.125 mm and 0.06 mm respectively.The experimental results show that,compared with Hough circle transformation,the Least Square Method can better detect the information about the coordinate of the center of the mounting hole and realize the fine alignment of the hole.At the same time,it shows that the fine alignment method is feasible.
分 类 号:TP399[自动化与计算机技术—计算机应用技术]
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