A Review of PCB Defect Detection Using Image Processing

---This paper reviews various methods of printed circuit board (PCB) defect detection and classification system using image processing. PCB are by far the most common method of assembling modern electronic circuits. During the manufacturing of PCB many defects are introduced which are harmful to precise circuit performance. A variety of ways has been established to detect the defects found on PCB, but it is also necessary to classify these defects so that the source of these defects can be identified. Morphological image segmentation algorithm and simple image processing theories used for detecting defects. Some PCB defects can only exist in certain groups. Thus, it is obvious that the image processing algorithm could be improved by applying a segmentation exercise. This project uses template and test images of single layer, bare computer generated PCBs. Manufactured defect PCB has to be simply thrown away this will save the cost of manufacturing process by reducing the amount of PCB being thrown away. Index Terms — Morphological image segmentation, image processing, defect detection and defect classification.