Bone target recognition and segmentation method based on X-ray data

The invention relates to the technical field of image data processing, in particular to a skeleton target recognition and segmentation method based on X-ray data, which comprises the following steps of: performing preliminary segmentation on an image by using an OTSU algorithm to obtain a dark region of the image, and obtaining a gray traversal interval according to double-crest characteristics of a gray histogram of the dark region; and according to the smooth degree of the edge of the rib and the equal width feature of the rib, combining the probability that the pixel point corresponding to each gray value in the gray traversal interval is the edge of the rib, and further weighting the OTSU algorithm function by taking the probability as the weight, thereby realizing the threshold segmentation of the dark region of the X-ray chest radiography image. According to the gray traversal interval obtained by the method, the number of gray values required to be traversed by the OTSU algorithm is reduced, and the op