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Automatic solder joint defect classification using the Log-Gabor filter

Mar, Nang Seng Siri, Fookes, Clinton B., & Yarlagadda, Prasad K. (2010) Automatic solder joint defect classification using the Log-Gabor filter. Advanced Materials Research, 9, pp. 2940-2943.

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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.

Impact and interest:

2 citations in Scopus
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0 citations in Web of Science®

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274 since deposited on 04 Mar 2010
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ID Code: 31131
Item Type: Journal Article
Keywords: Automatic PCB inspection, Feature extraction, Classification , Mahalanobis cosine distance, Log Gabor filter
ISSN: 1022-6680
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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