Automatic Solder Joint Defect Classification using the Log-Gabor Filter
| Periodical | Advanced Materials Research (Volumes 97 - 101) |
|---|---|
| Main Theme | Manufacturing Science and Engineering I |
| Edited by | Zhengyi Jiang and Chunliang Zhang |
| Pages | 2940-2943 |
| DOI | 10.4028/www.scientific.net/AMR.97-101.2940 |
| Citation | Nang Seng Siri Mar et al., 2010, Advanced Materials Research, 97-101, 2940 |
| 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 |
| Price | US$ 28,- |
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.