The invention relates to the technical field of
image processing, in particular to an intelligent fracture diagnosis
system based on image recognition, which comprises an
image analysis module, a mode recognition module, a
form analysis module, a
risk assessment module and an auxiliary decision module. According to the method, skeleton
gray level distribution and boundary consistency are analyzed through continuous frames of X-
ray images, fracture
feature extraction precision and
time sequence coherence are improved, key point space distribution, symmetry standards and form proportions are fused, fracture area structured quantitative evaluation is achieved, the form change trend and abnormal offset point screening are combined, and the accuracy of fracture
feature extraction is improved. The method enhances abnormal trajectory recognition precision, associates
bone mineral density and form offset, calibrates high-risk time periods, improves
risk assessment perspectiveness and individual adaptability, dynamically corrects output content according to an inter-frame suggestion change trend and extended feedback, enhances timeliness of diagnosis suggestions and closed-loop feedback quality, and improves
risk assessment accuracy. Image evolution,
structural geometry and physiological data are integrally fused, and multi-dimensional intelligent judgment of fracture recognition and evaluation is achieved.