Title :
MATLAB based defect detection and classification of printed circuit board
Author :
Putera, Siti Hazurah Indera ; Dzafaruddin, Syahrul Fahmi ; Mohamad, Maziah
Author_Institution :
Fac. of Electr. Eng., Univ. Teknoogi MARA, Shah Alam, Malaysia
Abstract :
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.
Keywords :
image classification; mathematics computing; printed circuits; Matlab based defect detection; Matlab image processing tools; PCB classification; printed circuit board classification; through-hole single layer PCB; Application software; Classification algorithms; Conductors; Image segmentation; Inspection; Printed circuits; Defect Classification; Image Processing; Printed Circuit Board;
Conference_Titel :
Digital Information and Communication Technology and it's Applications (DICTAP), 2012 Second International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-1-4673-0733-8
DOI :
10.1109/DICTAP.2012.6215366
