Surface roughness evaluation method based on Hoyer coefficient of processed surface image

The invention discloses a surface roughness evaluation method based on a Hoyer coefficient of a processed surface image, which mainly comprises the following steps of: acquiring a processed surface picture, converting the processed surface picture into a gray scale space, and then correcting the direction of the image, so that the horizontal direction of the image is consistent with the processing feeding direction; according to the method, line gray information passing through the central point of the image is extracted in the horizontal direction of the image, the Hayer statistical value of the normalized line gray information is calculated, and finally, the surface roughness value of the workpiece is evaluated by adjusting the Hayer statistical value. The method has the advantages of being high in evaluation speed and small in influence on an existing production mode, and the surface roughness of the workpiece can be rapidly evaluated based on the Hoyer coefficient of the machined surface image after the w