铝合金焊接图像焊缝位置和间隙提取  

Welding direction and gap image processing in aluminum alloy GTAW

作　　者：樊重建[1] 沈鸿源[1] 林涛[1] 陈善本[1] 

机构地区：[1]上海交通大学材料科学与工程学院,上海200240

出　　处：《焊接学报》2008年第8期61-64,共4页Transactions of The China Welding Institution

基　　金：国家自然科学基金资助项目(50575144);上海市科委"登山计划"重点基础研究项目(06JC14036)

摘　　要：基于自行设计的CCD被动视觉传感系统,在仅依靠电弧光照明的情况下,实现了钨极氩弧焊过程中实时提取清晰的熔池正前方图像。通过分析退化恢复、平滑后的图像间隙处灰度值特点,采取了特定区域自动域值分割、空穴检出法统计各8-连通域面积、基于8-领域面积阈值去噪、面积统计转换等步骤可以求得间隙值,进一步进行间隙细化,最后采用Hough变换对细化后的间隙点进行拟合,检测出焊缝位置。For welding process information sensing, the visual information of weld pool in aluminum alloy tungsten arc welding was investigated. By CCD optical sensor designed independently, the weld pool image was observed under arc light. After recovering and smoothing the original degraded image, the recovered image show more characters for next processing steps. Series of algorithm including automatic threshold segmentation, noise removing based on 8-neighbourhoods area threshold, total points statistics, were performed to calculate gap area in the image coordinate system. After thinning, Hough transformation was used to fit the gap points. The fitted line direction is the welding direction. With the gap area and the calibration result before welding, the gap size can be obtained.

关 键 词：钨极氩弧焊 被动视觉 间隙 焊缝跟踪 

分 类 号：TG409[金属学及工艺—焊接]