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三光路熔池图像的视觉注意特征提取
引用本文:章妍,吕娜,黄一鸣,陈善本.三光路熔池图像的视觉注意特征提取[J].焊接学报,2014,35(8):53-56.
作者姓名:章妍  吕娜  黄一鸣  陈善本
作者单位:上海交通大学机器人焊接智能化实验室, 上海 200240
基金项目:国家自然科学基金资助项目(61374071)
摘    要:焊缝跟踪和熔透控制都是焊接质量控制中的重要部分.试验采用三光路视觉传感系统,在铝合金脉冲GTAW焊接过程中,三个光路同时采集熔池正前方、斜后方、斜下方图像,并投影到同一幅图像上.图像包含了焊缝、正面熔池和背面熔池等丰富的信息.采用视觉注意的方法找到图像各部分与熔池特征参数相关的小区域进行处理,将图像中包含的熔池特征参数提取出来.结果表明,视觉注意方法用于焊接过程中熔池特征的实时检测时,由于只处理感兴趣的小区域,比一般方法具有更高的明确性以及高效性.

关 键 词:焊接质量控制    熔池图像处理    视觉注意    感兴趣区域检测
收稿时间:2014/1/15 0:00:00

Feature characters extraction with visual attention method based on three-light-path weld pool images
ZHANG Yan,L&#; N,HUANG Yiming and CHEN Shanben.Feature characters extraction with visual attention method based on three-light-path weld pool images[J].Transactions of The China Welding Institution,2014,35(8):53-56.
Authors:ZHANG Yan  L&#; N  HUANG Yiming and CHEN Shanben
Affiliation:Intelligentized Robotic Welding Technology Laboratory, Shanghai Jiaotong University, Shanghai 200240, China
Abstract:Seam tracking and weld penetration control are key parts of weld quality control. A three-light-path vision sensing system is used in the experiments to obtain the images of the top-front, top-back and back paths of the weld pool during the Al alloy GTAW welding and project them in the same picture at the same time. The image contains information of the seam, weld pool and back weld pool. The method of visual attention is adopted to find the small areas related to weld pool feature characters, and extract these characters from the image. The results show that, in real-time detection of the weld pool features during the welding process, the method of visual attention is more clarified and efficient than general methods as it focuses only on interested small areas.
Keywords:welding quality control  weld pool image processing  visual attention  region of interest detection
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