

Various Techniques for PCB Defect Detection
Printed Circuit Boards are by far the most common method of assembling modern electronic circuits.During the manufacturing of PCB many defects are introduced which are harmful to precision circuit performance. A variety of ways have been established to detect the defects found on PCB, but it is also necessary to classify these defects so that the source of these defects can be identified. Automated visual printed circuit board inspection is an approach used to counter difficulties occurred in manual inspection. This paper reviews various techniques for PCB defect detection and classification using image processing.
Keywords
Image Processing, PCB, Wavelet Transform, Morphological Operators, Image Subtraction.
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