基于LabVIEW的焊缝视觉跟踪系统研究

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英文篇名：Research on Weld Visual Tracking Algorithm Based on LabVIEW 作者：陈锋 ; 张众杰 ; 周杭超 ; 董晨晨 ; 张恒靖 ; 马小龙 英文作者：CHEN Feng;ZHANG Zhong-jie;ZHOU Hang-chao;DONG Chen-chen;ZHANG Heng-jing;MA Xiao-long;Zhejiang Fangyuan Test Group Co.,Ltd.;Zhejiang Institute of Product Quality and Safety Inspection;Zhejiang University of Technology; 关键词：焊缝识别 ; 视觉跟踪 ; LabVIEW 英文关键词：Weld identification;;visual tracking;;LabVIEW 中文刊名：GXJX 英文刊名：Equipment Manufacturing Technology 机构：浙江方圆检测集团股份有限公司;浙江省产品质量安全检测研究院;浙江工业大学; 出版日期：2019-02-15 出版单位：装备制造技术 年：2019 期：No.290 基金：国家质量监督检验检疫总局科技计划项目(2016QK175) 语种：中文; 页：GXJX201902022 页数：4 CN：02 ISSN：45-1320/TH 分类号：99-102

摘要

工件在焊接时的自动化要求越来越高,为提高焊接机器人应用时的智能化水平,提出了基于LabVIEW的焊缝视觉跟踪算法,该算法是使用模板匹配法对结构光图像进行识别,用计算机测算出V型焊缝所在坐标位置。结合跟踪算法进行了实验平台的搭设测试,利用LabVIEW进行编程,编程界面友好,且图形化的编程效率较高。实验结果表明:图像识别坐标与实测坐标进行比较,有较高的准确性和一致性。
        In order to improve the intellectualization level of welding robot application,a welding seam visual tracking algorithm based on LabVIEW was proposed, which used template matching method to identify the structure light image,and used the computer to calculate the coordinate position of v-shaped welding seam. The experimental platform was set up and tested with the tracking algorithm. The LabVIEW were used for programming.The programming interface was friendly and the graphical programming efficiency was high. The experiment results show that the image recognition coordinates are more accurate and consistent than the measured coordinates.

引文

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