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.
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|Item Type:||Journal Article|
|Keywords:||Automatic PCB inspection, Feature extraction, Classification , Mahalanobis cosine distance, Log Gabor filter|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MANUFACTURING ENGINEERING (091000) > Manufacturing Engineering not elsewhere classified (091099)|
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
|Copyright Owner:||Copyright 2010 Trans Tech Publications Ltd.|
|Deposited On:||04 Mar 2010 16:01|
|Last Modified:||01 Mar 2012 00:16|
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