An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images
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ICIC International
2012
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my.unimap-192662012-05-16T04:02:32Z An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images Ismail, Ibrahim Zuwairie, Ibrahim Kamal, Khalil Musa, Mohd Mokji Syed Abdul Rahman, Syed Abu Bakar Norrima, Mokhtar Wan Khairunizam, Wan Ahmad tsuri inc@hotmail.com khairunizam@unimap.edu.my Printed circuit boards Defect classification Defect detection Link to publisher's homepage at http://www.ijicic.org/ Because decisions made by human inspectors often involve subjective judg- ment, 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 classi cation is essential to the identi cation of defect sources. Therefore, an algorithm for PCB defect classi cation is presented that consists of well-known conventional op- erations, including image difference, image subtraction, image addition, counted image comparator, ood- ll, and labeling for the classi cation of six different defects, namely, missing hole, pinhole, underetch, short-circuit, open-circuit, and mousebite. The de- fect classi cation algorithm is improved by incorporating proper image registration and thresholding techniques to solve the alignment and uneven illumination problem. The improved PCB defect classi cation algorithm has been applied to real PCB images to successfully classify all of the defects. 2012-05-16T04:02:32Z 2012-05-16T04:02:32Z 2012-05 Article International Journal of Innovative Computing, Information and Control, vol. 8 5(A), 2012, pages 3239-3250 1349-4198 http://www.ijicic.org/10-11079-1.pdf http://hdl.handle.net/123456789/19266 en ICIC International |
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Universiti Malaysia Perlis |
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Malaysia |
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Universiti Malaysia Perlis |
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| language |
English |
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Printed circuit boards Defect classification Defect detection |
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Printed circuit boards Defect classification Defect detection Ismail, Ibrahim Zuwairie, Ibrahim Kamal, Khalil Musa, Mohd Mokji Syed Abdul Rahman, Syed Abu Bakar Norrima, Mokhtar Wan Khairunizam, Wan Ahmad An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
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Link to publisher's homepage at http://www.ijicic.org/ |
| author2 |
tsuri inc@hotmail.com |
| author_facet |
tsuri inc@hotmail.com Ismail, Ibrahim Zuwairie, Ibrahim Kamal, Khalil Musa, Mohd Mokji Syed Abdul Rahman, Syed Abu Bakar Norrima, Mokhtar Wan Khairunizam, Wan Ahmad |
| format |
Article |
| author |
Ismail, Ibrahim Zuwairie, Ibrahim Kamal, Khalil Musa, Mohd Mokji Syed Abdul Rahman, Syed Abu Bakar Norrima, Mokhtar Wan Khairunizam, Wan Ahmad |
| author_sort |
Ismail, Ibrahim |
| title |
An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| title_short |
An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| title_full |
An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| title_fullStr |
An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| title_full_unstemmed |
An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| title_sort |
improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images |
| publisher |
ICIC International |
| publishDate |
2012 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/19266 |
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1643792714077044736 |