Road surface quality detection method based on machine vision

The invention relates to the technical field of image processing, in particular to a road surface quality detection method based on machine vision. The method comprises the following steps: analyzing a gray histogram of a background-removed road surface gray image to obtain a suspected crack region and a pixel gray value of a road surface, and constructing an initial window by taking each pixel in the suspected crack region as a center; obtaining a first gray level distribution characteristic according to the mean value of the gray level values of the pixels in the suspected crack area and the gray level values of the pixels of the road surface, and obtaining a second gray level distribution characteristic according to the gray level values of the pixels in the initial window; constructing a discriminant and a scaling size variation model according to the first gray level distribution feature and the second gray level distribution feature; and judging a scaling strategy according to the discriminant, executin