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

• Main Authors: Ibrahim, I., Ibrahim, Z., Khalil, K., Mokji, M.M., Abu Bakar, S.A.R.S., Mokhtar, N., Ahmad, W.K.W.
• Format: Article
• Language: English
• Published: International Journal of Innovative Computing Information and Control 2012
• Subjects: TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/6129/1/An_Improved_Defect_Classification_Algorithm_for_Six_Printing_Defects_and_Its_Implementation_on_Real_Printed_Circuit_Board_Images.pdf; http://eprints.um.edu.my/6129/; http://www.scopus.com/inward/record.url?eid=2-s2.0-84860797894&partnerID=40&md5=9f4a611a05628350508472bd143dd089

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...