Metal forging surface defect detection method based on image processing

The invention relates to the technical field of image processing, in particular to a metal forge piece surface defect detection method based on image processing, which comprises the following steps: acquiring a gray level image of a metal forge piece, and dividing the gray level image to obtain a plurality of areas; according to the defect expression degree of the pixel points and a preset reference value, a target window of each area is obtained, a target enhanced image is obtained based on CLAHE and an interpolation algorithm, and therefore defect detection is conducted on the surface of the metal forge piece; wherein in the local area of any pixel point, the defect expression degree of the pixel point is obtained according to the dispersion degree of the pixel gray values on the line segments in different directions, the period regularity of the gray values of the pixel points on the vertical line segment of the line segment corresponding to the minimum dispersion degree and the fitting error, and the line