钢轨超窄间隙焊接直坡口中心线的图像识别方法

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英文篇名：Image Recognition of Straight Groove Centerline during Rail Ultra-narrow Gap Welding 作者：张爱华 ; 周建桂 ; 马晶 ; 马永强 ; 朱亮 英文作者：ZHANG Aihua;ZHOU Jiangui;MA Jing;MA Yongqiang;ZHU Liang;College of Electrical and Information Engineering, Lanzhou University of Technology;State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, Lanzhou University of Technology; 关键词：超窄间隙 ; 坡口中心线识别 ; 斜率估计 ; 灰度跳跃 ; 交叉检测 英文关键词：ultra-narrow gap;;groove centerline identification;;slope estimation;;gray jump;;cross detection 中文刊名：SJGY 英文刊名：Hot Working Technology 机构：兰州理工大学电气工程与信息工程学院;兰州理工大学省部共建有色金属先进加工与再利用国家重点实验室; 出版日期：2019-03-04 10:45 出版单位：热加工工艺 年：2019 期：v.48;No.505 基金：甘肃省青年科技基金项目(1610RJYA012) 语种：中文; 页：SJGY201903065 页数：5 CN：03 ISSN：61-1133/TG 分类号：246-249+252

摘要

在钢轨超窄间隙焊接过程中,坡口中心线识别的准确性是影响焊接质量的关键。由于坡口窄而深的结构特点以及钢轨表面易受干扰,采集的焊接图像目标轮廓模糊、背景复杂,影响坡口位置准确的识别。因此,采用激光为辅助光源,提出了一种基于激光视觉技术的钢轨超窄间隙焊接的坡口中心线的图像识别方法。应用直线斜率估计方法确定坡口位置激光线,通过扫描和投影操作,并采用灰度跳跃和交叉检测方法提取坡口中心线。通过实验进行验证,以上方法能够准确地识别直坡口中心线,而且计算量小、耗时短,满足实际需要。
        In the process of ultra-narrow gap welding of rail, the accuracy of groove centerline identification is the key to the quality of welding. Due to the narrow and deep groove and the rail surface is susceptible to interference, the target image is blurred and the background is complex, which affects the accurate recognition of the groove. Therefore, Taking laser as the auxiliary light source, a identification method of the centerline of the groove in ultra-narrow gap welding of rail based on the laser vision technology was proposed. The linear slope estimation method was used to determine the laser line of the slope position, through scanning and projection operation, and the method of gray jump and cross detection was used to extract the center line of the groove. It is proved by experiments that the above method could accurately identify the centerline of the groove. The calculation amount is small and the time-consuming is short, which meets the practical requirement.

引文

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