Study of PCB Automatic Optical Inspection System Based on Mathematical Morphology

The automatic optical inspection algorithm based on pattern recognition and mathematical morphology is promoted, which can be used to detect some kinds of defects in PCBs. In this paper, the conception of linkage information table was presented which is regarded as correlation features of template PCBs. This paper also includes pre-processing and feature extractor. Compared with features between detected images and template images based on linkage information table, those defects existed in tested PCBs can be identified, which has achieved the automatic identification and real time inspection. Proved by some experiments, this algorithm will largely compress feature data volume, decrease correlation workload and decrease data processing time.