摘要
针对典型的V型坡口焊缝,采用自主研发的激光视觉传感系统设计了一种基于投影拟合方法的焊缝特征点识别算法,并通过实验加以验证.结果表明,所提出的算法对焊缝特征点的提取精度较高.
Based on the laser vision sensing system developed independently, a recognition algorithm combining projection with least-squares curve fitting for feature points of V-groove welds was proposed. The results show that the proposed algorithm can extract feature points with high accuracy.
作者
杨雪君
许燕玲
黄色吉
侯震
陈善本
韩瑜
YANG Xuejun XU Yanling HUANG Sejil HOU Zhen CHEN Shanben HAN Yu(School of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China No. 716 Research Institute of China Shipbuilding Industry, Lianyungang 222061, Jiangsu, China)
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2016年第10期1573-1577,共5页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金项目(51405298
61374071)
国家高技术研究发展计划(863)项目(2015AA043102)资助
关键词
机器人焊接
焊缝识别
特征提取
投影拟合方法
robotic welding
weld detection
feature extraction
projection fitting method
