基于机器视觉的智能建造H型钢焊接焊缝轨迹跟踪方法

Weld Seam Trajectory Tracking Method for H-shaped Steel Welding in Intelligent Construction Based on Machine Vision

为了有效提升智能建造H型钢焊接焊缝轨迹跟踪结果的准确性,提出一种基于机器视觉的智能建造H型钢焊接焊缝轨迹跟踪方法,通过机器视觉系统采集智能建造H型钢表面图像,采用非局部均值滤波和双边滤波相结合的方法进行降噪处理;对智能建造H型钢表面图像进行纹理分析,提取图像纹理特征,同时利用图像分割法确定焊缝区域;引入Shi-Tomasi算法进行角点检测,经过拟合直线求交点和逐行扫描获取焊缝坡口信息对应的拐点信息,确定焊缝中心,实现智能建造H型钢焊接焊缝轨迹跟踪。通过实际测试分析证明,所提方法可以准确跟踪焊缝轨迹,且具有较强的实时性,可以有效推进智能建造的发展。

To effectively improve the accuracy of weld seam trajectory tracking results for H-shaped steel welding in intel-ligent construction,a weld seam trajectory tracking method for H-shaped steel welding in intelligent construction based on machine vision is proposed.The surface images of H-shaped steel in intelligent construction are collected by a ma-chine vision system and denoised by combining non-local mean filtering and bilateral filtering.Texture analysis is per-formed on the surface images of H-shaped steel in intelligent construction to extract image texture features.At the same time,the weld area is determined by image segmentation.The Shi-Tomasi algorithm is introduced for corner detection.The inflection point information corresponding to weld groove information is obtained by fitting a straight line to find the intersection point and scanning line by line.The weld center is determined to realize weld seam trajectory tracking for H-shaped steel welding in intelligent construction.Through actual test and analysis,it is proved that the proposed method can accurately track the weld seam trajectory and has strong real-time performance,and it can effectively promote the de-velopment of intelligent construction.