DW设备电气焊点的定位与识别技术研究

DW设备中电气焊点的形状很多,为了实现其焊接过程的自动化,必须能准确地定位和识别这些焊点。出于对实际情况的考虑,本文提出了一种基于图像处理的自动定位和识别方法。首先,采用自适应阈值分割技术实现对图像特征区域的增强;其次,采用Canny边缘检测算子精确定位特征区域边缘;再次,在特征区域边缘内执行膨胀算法获得闭合完整的特征区域;最后,利用模板匹配技术实现焊点特征的定位和识别。实验结果表明,本文提出的方法有效地解决了DW设备中焊点的定位和识别问题。

In order to realize automation of the welding process,different shapes of solder joints should be located and identificated for DW equipment.Considering the actual situation,an automatic location and identification method based on image processing is proposed in this paper.First,adaptive threshold segmentation was used in enhancing the features.Second,Canny operator was used in locating edge of feature area.Third,expansion algorithm was carried out within feature area.Finally,template matching was used in locating and identificating feature of solder joint.Experimental results show that our method can solve the problem of localization and recognition of solder joint of DW equipment.