摘要
依托机器视觉技术,焊接机器人技术现已发展到了第三代。为了实现机器人的智能焊接,在前期工作中,机器人的焊接系统需要对焊缝进行标记和智能提取。课题组选用了Sobel算子、Canny算子、Forstner算子、Harris算子对模拟焊接件进行了焊缝标记,通过实验对比发现,对于课题组所选取的研究对象,Forstner算子效果优异。
Relying on machine vision technology,welding robot technology has developed to the third generation.In order to realize the intelligent welding of the robot,the welding system of the robot should tag and extract the welding seam intelligently in the preliminary work.The research group selected Sobel operator,Canny operator,Forstner operator and Harris operator to tag the welding seam of simulated welds.The experimental comparison found that Forstner operator has excellent effect on the research objects selected by the research group.
作者
赵陈磊
吴圣红
席林
宋强
罗啸
冯叶陶
谷丰
Zhao Chenlei;Wu Shenghong;Xi Lin;Song Qiang;Luo Xiao;Feng Yetao;Gu Feng(School of Automotive Engineering,Geely University of China,Sichuan Chengdu 641402)
基金
吉利学院校级品牌课程“新能源汽车动力电池技术”(2022xppkc006)
吉利学院校级科研课题“基于双目机器视觉的焊接路径规划方法研究”(2022xxsy003)。
关键词
焊缝标记
角焊缝
边缘检测
角点检测
weld marking
fillet weld
edge detection
corner detection
