Research on Automated Defect Detection of PCB Board Based on Multi-algorithm Fusion
TAI Wenjie
ZHANG Huixin
SHI Zihan
Abstract：In response to the precision and testing requirements of automated PCB(Printed Circuit Board)board detection in the market,a PCB template automated defect testing system using multi-algorithm integration technology is designed to achieve pre-cise coordination between template graphics and defect maps.The Radon algorithm is used to correct the skewed graphics,and the template graphics are compared with the defect images using the subtraction method.The comparison results show that the image ef-fect is enhanced.At the same time,the improved Canny algorithm extracts the boundaries of the PCB board graphics and combines with binary calculation to obtain clearer graphic boundary contours,ultimately achieving defect localization on the PCB board,such as open circuits,short circuits,dents,and protrusions.The verification results are all programmed and implemented in Matlab,which has high feasibility and achieved the expected functional effects.The test results show that the system works as expected,with a defect detection accuracy of 96％for PCBs,which can meet the needs of practical applications.
Keywords：image enhancementMatlabCanny algorithmdefect localization
Publication Date：2025-08-20
Online Publishing Date：2025-12-12(First online date of this platform, not the publication date of the document)
Pages：5( 48-52 )