Machine visual identification method for sorting products with corner point characteristics

The invention discloses a machine visual identification method for sorting products with corner point characteristics. The method comprises the steps as follows: performing Freeman chain code encoding on the image outlines of known products, detecting the corner points by using the Freeman chain codes, calculating the corner point characteristic three-dimensional column vectors of all the corner points, sequencing the corner point characteristic three-dimensional column vectors and taking the vector sequence as the vector sequence of the known products; performing Freeman chain code encoding on the image outlines of objects to be sorted, detecting the corner points by using the Freeman chain codes, calculating the corner point characteristic three-dimensional column vectors of all the corner points, sequencing the corner point characteristic three-dimensional column vectors and taking the vector sequence as the vector sequence of the objects to be sorted; and judging the vector sequence of the known products and the vector sequence of the objects to be sorted and finishing machine visual identification. According to the method, the shapes of the known products and the objects to be sorted are simply represented by the chain codes; the subsequent calculation quantity is small; the extracted vector sequence has zooming and rotation invariance can be accurately identified; and the algorithm is simple.