摘要
大多数焊缝跟踪图像处理算法在滤波过程中存在冗余运算,实时性差的问题。为减少在滤除焊缝图像中噪声的过程中存在的大量冗余运算,根据焊缝图像中的弧光飞溅和激光条纹的形态特征,运用一阶马尔科夫链描述图像矩阵邻域的空间相关性,设计了基于形态特征滤波的激光焊缝跟踪图像处理算法。该算法在提取激光条纹中心线时,通过形态特征的判定,去除焊接图像中的噪声干扰,有效减少滤波过程冗余运算,提高了算法的实时性。实验结果表明,该方法抗噪声干扰能力强,能准确地提取激光条纹中心线,且处理分辨率为576×768的整幅图像耗时约为20 ms,能完成实时跟踪焊接且跟踪绝对平均误差为0.1358 mm。
Most of the weld tracking image processing algorithms have redundant operations in the filtering process and have poor real-time problems. In order to reduce the large number of redundant operations in the process of filtering noise in the weld image, based on the morphological characteristics of arc light splashes and laser stripes in the weld image, the first-order Markov chain was used to describe the spatial correlation of image matrix neighborhood, and a laser welding seam tracking image processing algorithm based on morphological feature filtering was designed. When the centerline of the laser fringe is extracted, this algorithm eliminates the noise interference in the welding image through the determination of the morphological features, effectively reduces the redundant operation of the filtering process, and improves the real-time performance. The experimental results show that the method has strong anti-interference ability, can accurately extract the center line of laser fringe, and it takes about 20 ms to process the entire image with a resolution of 576 × 768. It can complete real-time tracking welding with an absolute tracking error of 0.1358 mm.
作者
刘亚辉
李昊
张方义
贾明
张光先
LIU Yahui;LI Hao;ZHANG Fangyi;JIA Ming;ZHANG Guangxian(School of Control Science and Engineering,Shandong University,Ji'nan 150001,China;Shandong Aotai Electric Co.,Ltd.,Ji'nan 150001,China;China National Power Construction Corporation Nuclear Power Engineering Co.,Ltd.,Ji'nan 150001,China)
出处
《热加工工艺》
北大核心
2022年第7期128-132,136,共6页
Hot Working Technology
关键词
激光焊缝跟踪
形态特征滤波
激光条纹中心线
图像处理
laser weld seam tracking
morphological feature filtering
laser stripe centerline
image processing
