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作 者:谭小群[1] 唐婧仪 于薇薇[1] 李希[1] 孙智金 Tan Xiaoqun;Tang Jingyi;Yu Weiwei;Li Xi;Sun Zhijin(School of Mechanical Engineering,Northwestern Polytechnical University,Xi'an 710072 ,China;Shaanxi FAST Auto drive Engineering Research Institute,Xi 'an 710077 , China)
机构地区:[1]西北工业大学机电学院,西安710072 [2]陕西法士特齿轮有限责任公司,西安710077
出 处:《现代制造工程》2019年第4期115-121,共7页Modern Manufacturing Engineering
基 金:陕西省科技统筹创新工程项目(2016KTZDGY06-01)
摘 要:基于飞机大部件自动化制孔过程的需求,提出了一种基于线激光扫描和图像处理相结合的基准孔检测技术,用于解决机器人制孔前的自动基准检测问题。将线激光测得的三维点云坐标转化为二维灰度图,设计了边缘检测算法提取基准孔在二维图像中的边缘点,并将结果与经典边缘提取方法进行对比论证,再将这些边缘点转换回三维点云中,使用最小二乘法拟合计算出孔径和中心位置。针对边缘提取的坐标转换方法中将Z坐标转换为灰度值在一定程度体现了创新性,且该方法测量精度高,具有一定的应用价值。Based on the requirement of automated hole making process for large parts of aircraft, a reference hole detection technology based on line laser scanning and image processing is proposed to solve the problem of automatic reference detection before robot drilling. The 3D point cloud coordinates measured by the line laser are converted into 2D grayscale images. The edge detec丒 tion algorithm is designed to extract the edge points of the reference hole in the 2D image. Compare the results with that of classical edge extraction methods,then these edge points are converted back to the 3D point cloud. Using the Least Squares fits and calculates the aperture and center position. There is relevant research on the conversion of the Z coordinate to the gray value in the coordinate conversion method for edge extraction, which reflects the innovation to some extent. The method has high measurement accuracy and has certain application value.
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