Printed circuit board defect detection using mathematical morphology and MATLAB image processing tools

• 發表在: ICETC 2010 - 2010 2nd International Conference on Education Technology and Computer
• 主要作者: 2-s2.0-77956085996
• 格式: Conference paper
• 語言: English
• 出版: 2010
• 在線閱讀: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77956085996&doi=10.1109%2fICETC.2010.5530052&partnerID=40&md5=a6f685d94c90c91a363c29b75516ef0b

various concentrated work on detection of defects on printed circuit boards (PCBs) have been done, but it is also crucial to classify these defects in order to analyze and identify the root causes of the defects. This project is aimed in detecting and classifying the defects on bare single layer PCBs by introducing a hybrid algorithm by combining the research done by Heriansyah et al [1] and Khalid [2]. This project proposes a PCB defect detection and classification system using a morphological image segmentation algorithm [1] and simple the image processing theories [2]. Based on initial studies, somePCB 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, grayscale computer generated PCBs. The research improves Khalid [2] work by increasing the number of defect categories from 5 to 7, with each category classifying a minimum of 1 to a maximum 4 different types of defects and a total of 13 out of 14 defects were classified. © 2010 IEEE.