Automatic Solder Joint Defect Classification using the Log-Gabor Filter
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.
Zhengyi Jiang and Chunliang Zhang
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