The invention relates to the technical field of
image processing, in particular to a method for automatically identifying
arthropathy in a sports medical image, which comprises the following steps of: acquiring the sports medical image and acquiring an edge in the sports medical image; according to the distribution positions of pixel points on the edges in the motion medical image, the possibility that end points in different disconnected edges are located on the same skeleton edge is obtained, and the disconnected edges are connected according to the possibility to obtain a complete skeleton edge; obtaining a plurality of joint gaps according to the distribution of pixel points in the complete skeleton edge; and according to the width of each position in the same joint gap and the width difference of different joint gaps, obtaining the
lesion characteristics of the joint gaps and
lesion joints. According to the method, the extension trend of the skeleton is analyzed, the incomplete skeleton edges are connected into the complete skeleton edge, and the joint position in the motion medical image is accurately obtained by further analyzing the characteristics of the joint edges, so that the diseased joint is accurately detected and recognized.