Automatic Solder Joint Defect Classification using the Log-Gabor Filter

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 97-101)

Edited by:

Zhengyi Jiang and Chunliang Zhang

Pages:

2940-2943

DOI:

10.4028/www.scientific.net/AMR.97-101.2940

Citation:

N. S. S. Mar et al., "Automatic Solder Joint Defect Classification using the Log-Gabor Filter ", Advanced Materials Research, Vols. 97-101, pp. 2940-2943, 2010

Online since:

March 2010

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Price:

$35.00

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