An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images

Ibrahim, I. and Ibrahim, Z. and Khalil, K. and Mokji, M.M. and Abu Bakar, S.A.R.S. and Mokhtar, N. and Ahmad, W.K.W. (2012) An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images. International Journal of Innovative Computing Information and Control, 8 (5A). pp. 3239-3250. ISSN 1349-4198,

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Because decisions made by human inspectors often involve subjective judgment, in addition to being intensive and therefore costly, an automated approach for printed circuit board (PCB) inspection is preferred to eliminate subjective discrimination and thus provide fast, quantitative, and dimensional assessments. In this study, defect classification is essential to the identification of defect sources. Therefore, an algorithm for PCB defect classification is presented that consists of well-known conventional operations, including image difference, image subtraction, image addition, counted image comparator, flood-fill, and labeling for the classification of six different defects, namely, missing hole, pinhole, underetch, short-circuit, open-circuit, and mousebite. The defect classification algorithm is improved by incorporating proper image registration and thresholding techniques to solve the alignment and uneven illumination problem. The improved PCB defect classification algorithm has been applied to real PCB images to successfully classify all of the defects.

Item Type: Article
Additional Information: 957KT Times Cited:0 Cited References Count:14
Uncontrolled Keywords: Defect classication, Defect detection, Printed circuit boards, Automated approach, Defect classification, Human inspectors, Image difference, Image subtraction, Printing defects, Thresholding techniques, Algorithms, Defects.
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 22 May 2013 00:18
Last Modified: 22 May 2013 00:18

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