焊缝磨抛图像预处理技术

为了对焊缝进行磨抛处理,在小型磨抛机器人基础上搭建了基于电荷耦合元件(Charge-coupled device,CCD)和结构光的视觉系统。对焊缝图像预处理技术中的图像增强、二值单像素化做了算法改进。在焊缝图像校正方面使用了线性内插算法,以距离为权值,使得该系统能够主动识别并缩小目标区域,有效地减小了运算数据量。为了突显目标,采用了灰度分布最大化算法。同时将二值化和焊缝光线中心提取整合,提高了运算速度。试验结果表明:该系统运行稳定可靠、检测精度高、速度快,同时该预处理流程和算法有效。

Image preprocessing of grinding and polishing welded seams

In order to process the grinding and polishing welded seam,a visual system was built on a minitype grinding and polishing robot based on the charge coupled device and structured light.The algorithm improvements were introduced to the image preprocessing technology,such as the image enhancement and single pixel treatment of binarization.The linear interpolation algorithm with the distance as weight was used for image correction to actively identify and reduce the target area,decrease the processed date amount effectively.To highlight the image target,the grey distribution maximization algorithm was introduced.The binarization and light-center extraction were integrated to speed the computation.The experiment results showed that the built system is stable,reliable with high precision and speed,and the proposed preprocessing technique and algorithms are effective.