激光视觉水下焊缝图像处理与特征提取  

Feature extraction and image processing for underwater weld with laser vision

作　　者：刘苏宜[1] 李冰[1] 张华[1] 贾剑平[1] 

机构地区：[1]南昌大学机器人与焊接自动化研究室,南昌330031

出　　处：《焊接学报》2011年第9期45-48,115,共4页Transactions of The China Welding Institution

基　　金：国家863高技术研究发展计划资助项目(2007AA04Z242);江西省科技厅工业攻关资助项目;江西省教育厅资助项目(GJJ09449)

摘　　要：自动化、智能化是水下焊接的发展方向,水下焊缝位置的实时传感与检测是其中的关键技术之一,激光视觉传感是一种很有前景的检测方法.阐述了激光视觉水下焊缝图像在不同水质环境下干扰噪声的特点,探讨了V形焊接坡口的水下焊缝图像预处理方法,研究了M ean Sh ift算法在水下焊缝图像分割中的应用,以及直线Hough变换提取水下焊缝图像特征的应用.结果表明,经图像增强和去噪后,M ean Sh ift算法有效分割出包含焊缝特征信息的激光条纹,图像细化后,直线Hough变换适合于精确提取V形焊缝特征点.Automation and intelligence are the development direction for underwater welding,and real-time sensing and detecting of underwater weld position is a key technology,among which laser vision sensing is a good-prospect detecting method.Noise features of weld image under different water environment and underwater V-groove weld image pre-processing are discussed.And both the application of mean shift algorithms on underwater weld image segmentation and linear Hough transform on extracting image features of underwater weld are studied.Experiment results show,after image enhancement and filtering,laser stripe including weld features could be effectively segmented with mean shift algorithms,and linear Hough transform was suited for precisely extracting V-groove weld feature points on the basis of thinning images.

关 键 词：水下焊缝 激光视觉 图像处理 图像分割 特征提取 

分 类 号：TG409[金属学及工艺—焊接]