Aiming at the specific situation of the fuzzy and noisy in the printed circuit board (PCB) photoelectric image,an improved edge information extraction algorithm is presented.Firstly,the adaptive fuzzy set enhancement algorithm and the edge detection algorithm of mathematical morphology (EDAMM) are improved,respectively,and their basic principles are analyzed.Then the two algorithms are combined to preprocess the PCB photoelectric images and extract their edge information.Finally,the experiments for edge information extraction are carried out with two PCB photoelectric images acquired by different imaging systems.The results show that the contrasts between light and dark of two images obtained by this algorithm are higher,and the accurate and clear edge information is extracted,the noise is significantly reduced.And the excellent quality coefficient of the obtained image is higher,which are 0.885 2 and 0.874 9 of the two images,there are higher than which of the other four algorithms mentioned in this paper,respectively.This shows that our algorithm can better remove the fuzziness and noise of PCB photoelectric images,and it can accurately extract their edge information.