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

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Main Authors: Ismail, Ibrahim, Zuwairie, Ibrahim, Kamal, Khalil, Musa, Mohd Mokji, Syed Abdul Rahman, Syed Abu Bakar, Norrima, Mokhtar, Wan Khairunizam, Wan Ahmad
Other Authors: tsuri inc@hotmail.com
Format: Article
Language:English
Published: ICIC International 2012
Subjects:
Printed circuit boards
Defect classification
Defect detection
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/19266
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spelling 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
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Printed circuit boards
Defect classification
Defect detection
spellingShingle 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
description 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
_version_ 1643792714077044736
score 13.222552

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