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Design of automatic vision-based inspection system for solder joint segmentation

Mar, Nang Seng Siri, Fookes, Clinton, & Yarlagadda, Prasad K. (2009) Design of automatic vision-based inspection system for solder joint segmentation. Journal of Achievements in Materials and Manufacturing Engineering, 34(2), pp. 145-151.

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Abstract

Purpose: Computer vision has been widely used in the inspection of electronic components. This paper proposes a computer vision system for the automatic detection, localisation, and segmentation of solder joints on Printed Circuit Boards (PCBs) under different illumination conditions. Design/methodology/approach: An illumination normalization approach is applied to an image, which can effectively and efficiently eliminate the effect of uneven illumination while keeping the properties of the processed image the same as in the corresponding image under normal lighting conditions. Consequently special lighting and instrumental setup can be reduced in order to detect solder joints. These normalised images are insensitive to illumination variations and are used for the subsequent solder joint detection stages. In the segmentation approach, the PCB image is transformed from an RGB color space to a YIQ color space for the effective detection of solder joints from the background. Findings: The segmentation results show that the proposed approach improves the performance significantly for images under varying illumination conditions. Research limitations/implications: This paper proposes a front-end system for the automatic detection, localisation, and segmentation of solder joint defects. Further research is required to complete the full system including the classification of solder joint defects. Practical implications: The methodology presented in this paper can be an effective method to reduce cost and improve quality in production of PCBs in the manufacturing industry. Originality/value: This research proposes the automatic location, identification and segmentation of solder joints under different illumination conditions.

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ID Code: 31129
Item Type: Journal Article
Additional Information: An open access copy of this article can be accessed from the journal's webpage. See Official URL above.
Keywords: Automatic PCB inspection, Segmentation of solder joints, Illumination normalisation, Computer vision
ISSN: 1734-8412
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Deposited On: 04 Mar 2010 16:38
Last Modified: 29 Feb 2012 23:56

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