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Edge detection is a method of trying to extract the effective part from the image, mainly detecting sharp changes in image brightness and capturing important areas. In order to perform edge detection and noise suppression more effectively, the conventional morphological edge detection is improved, and the image is binarized by threshold decomposition. The LOG edge detection of the Laplacian operator is further enhanced by multi-structural morphological filtering after the initial extraction of the image edges. The experimental results show that the method retains more edge information and effectively eliminates the superimposed noise.