Simulation of recognition method of damaged parts of high-intensity sports injury images

Abstract

Introduction: When athletes are performing sports training, many movements are of high intensity, and that training is repetitive, resulting in wear and tear on some injured parts. Objective: Sports athletes can damage parts of the body in high-intensity exercise. During the processing, it is necessary to identify and analyze the damaged parts in the image. However, the current relevant methods have low accuracy and different problems of efficiency and quality. Methods: In this paper, a Fish Swarm Algorithm is proposed to identify high-intensity motion damage images. According to the combination of adaptive threshold and mathematical morphology, the contour of the damaged part of the image is extracted. Results: The above-mentioned method can improve the accuracy of identifying damaged parts of sports injury ima-ges, shorten the recognition time, and has certain feasibility in determining sports injury parts. Conclu-sions: This method can be widely used in high-intensity sports injuries. Level of evidence II; Therapeutic studies-investigation of treatment results.