A NOVEL FUZZY PCA BASED IMAGE PROCESSING APPROACH ON PCB DEFECT DETECTION

Abstract A Printed Circuit board (PCB) is designed to mount and interconnect various electronic components by tracks which are imprinted from copper sheets. During manual inspection of PCB defect there is a more possibility of difficulties in accurate determination of defect presence. This necessitates the automatic inspection of PCB in the aspect of quantitative and qualitative assessment otherwise it results in complete failure of circuit. This paper developed an automatic inspection of PCB board defect by applying enhanced fuzzy logic based PCA approach before the etching process. It detects the presence of defects by producing the result in form of degree of membership of defect (i.e) higher membership value represents higher degree of defect presence.