基于激光视觉的钢结构焊缝图像处理系统

针对钢结构件品种多、批量小，焊缝形状位置一致性差，机器人重复定位过程复杂等缺点，设计了一种基于激光视觉的钢结构焊缝图像处理系统. 运用CCD工业相机和激光器，采集带有激光条带的焊缝图像，分别利用中值滤波柔化噪音，Otsu算法自适应阈值分割，开操作和形态学处理相结合去除图像中除目标像素外的小连通区域，提取激光条带的中心线，最终利用Hough变换对中心线直线拟合，得到特征点位置，并通过骨支架试验验证该技术的可行性. 结果表明，该方法可快速准确地检测到焊缝特征点，满足实际要求.

Image processing system of welding seam of steel structure based on laser vision

Aiming at the shortcomings of many types of steel structure parts, small batches, poor consistency of weld shape and position, and complicated repetitive positioning process of robots, a laser vision-based steel structure weld image processing system is designed. The technology uses CCD industrial cameras and lasers, Collect welding seam images with laser stripes, use median filtering to soften noise, otsu algorithm adaptive threshold segmentation, open operation and morphological processing to remove small connected areas in the image except target pixels, extract laser stripes Finally, the Hough transform is used to fit the center line of the center line to obtain the position of the feature point, and the feasibility of the technology is verified by the bone scaffold test. The test shows that this method can detect the weld feature points quickly and accurately actual requirements, and meet the actual requirements.