基于形态学的PCB缺陷快速检测技术

提出了一种基于数学形态学的PCB自动缺陷检测算法。 在对测试图像进行距离变换时,将参考图腐蚀后的边缘作为感兴趣区域使用,边缘上的每个点都具有线路边界的相应距离信息。对边缘上的距离图像进行直方图分析后得出合格线路的距离信息,以该距离为参照,可以快速地检测出各种缺陷。结合轮廓特征的对比,其能够进行准确的缺陷类型识别。实验证明,所提算法能够快速检测出PCB图像中的各种缺陷,并能进行准确的自动分类识别。

Novel PCB Defect Detection Based on Morphology Image Process

The automatic PCB optical defect detection algorithm based on mathematical morphology was promoted.The edge is extracted from referential image after erode operation.If the edge is used as the ROI for the distance transform of test image,each point on the edge will have the corresponding distance to the border of the track.Threshold of the distance image can rapidly detect defects of PCBs.Combined with the comparison of contour feature,the algorithm can accurately identify the types of defect.Experiments show that the algorithm can quickly detect all kinds of defects in PCB images,and can make accurate automatic classification and recognition.