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MATLAB based defect detection and classification of printed circuit board

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3 Author(s)
Siti Hazurah Indera Putera ; Faculty of Electrical Engineering, Universiti Teknoogi MARA, Shah Alam, Malaysia ; Syahrul Fahmi Dzafaruddin ; Maziah Mohamad

A variety of ways has been established to detect defects found on printed circuit boards (PCB). In previous studies, defects are categories into seven groups with a minimum of one defect and up to a maximum of 4 defects in each group. Using Matlab image processing tools this research separates two of the existing groups containing two defects each into four new groups containing one defect each by processing synthetic images of bare through-hole single layer PCBs.

Published in:

Digital Information and Communication Technology and it's Applications (DICTAP), 2012 Second International Conference on

Date of Conference:

16-18 May 2012