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Automatic Solder Joint Defect Classification using the Log-Gabor Filter

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Abstract:

This paper proposes the validity of a Gabor filter bank for feature extraction of solder joint images on Printed Circuit Boards (PCBs). A distance measure based on the Mahalanobis Cosine metric is also presented for classification of five different types of solder joints. From the experimental results, this methodology achieved high accuracy and a well generalised performance. This can be an effective method to reduce cost and improve quality in the production of PCBs in the manufacturing industry.

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Periodical:

Advanced Materials Research (Volumes 97-101)

Pages:

2940-2943

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.97-101.2940

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Cite this paper

Online since:

March 2010

Authors:

Nang Seng Siri Mar, Clinton Fookes, K.D.V. Yarlagadda Prasad

Keywords:

Automatic PCB Inspection, Classification, Feature Extraction, Log-Gabor Filter, Mahalanobis Cosine Distance

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© 2010 Trans Tech Publications Ltd. All Rights Reserved

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References

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