Watershed Algorithm for PCB Automatic Optical Inspection Systems
- https://doi.org/10.2991/icmii-15.2015.56How to use a DOI?
- Machine Vision; Watershed Algorithm; Region Segmentation; Local Extreme; Defect Recognition
The production of the PCB board is related to the development of the electronics industry. In order to improve the quality of the circuit board, Startingfrom the detection of single PCB board and replacing the traditional manual inspection mode through using the methods of machine vision is to improve the efficiency. For “the outer layer inspection” link of the PCB substrate in the generalized processing,the use of machine vision detection algorithm based on watershed algorithm and the integration of organic into existing automated optical inspection equipment not only ensureshigh efficiency but also reduces the artificial false detection rate through replacing the human eye with the use of the machine vision. Different from traditional detection algorithm, the advantages of watershed algorithm are mainly reflected in the extractingsegmentation target area pixel value and regions by calculation and comparison of local extreme position to identify deficiencies and give the type of defect identification purposes. Experimental results show that the use of this method is effective to improve the efficiency and accuracy of defect recognition.
- © 2015, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ping Feng AU - Qiyuan Gong AU - Tao Cheng PY - 2015/10 DA - 2015/10 TI - Watershed Algorithm for PCB Automatic Optical Inspection Systems BT - Proceedings of the 3rd International Conference on Mechatronics and Industrial Informatics PB - Atlantis Press SP - 310 EP - 318 SN - 2352-538X UR - https://doi.org/10.2991/icmii-15.2015.56 DO - https://doi.org/10.2991/icmii-15.2015.56 ID - Feng2015/10 ER -