SIMULATION FOR DAMAGED PARTS RECOGNITION OF SPORTS INJURY BIOLOGICAL IMAGES

SIMULAÇÃO PARA RECONHECIMENTO DE PARTES DANIFICADAS EM IMAGENS BIOLÓGICAS DE LESÕES ESPORTIVAS DE ALTA INTENSIDADE

SIMULACIÓN PARA EL RECONOCIMIENTO DE PARTES DAÑADAS EN IMÁGENES BIOLÓGICAS DE LESIONES DEPORTIVAS

ABSTRACT

Introduction

To reduce or avoid injuries during high-intensity sports and help treat the injured part, the method of recognizing biological images of the damaged part is a crucial point of current research.

Objective

To reduce the damage caused by high-intensity sports and improve the efficiency of injury treatment, this article explores the method of identifying damaged parts in biological imaging of high-intensity sports injuries.

Methods

A method is proposed to recognize damaged parts of biological images of high-intensity sports injuries based on an improved regional growth algorithm.

Results

A rough segmented image developed in black and white is obtained with the main body as the objective and background. Based on approximate segmentation, the region growth algorithm is used to accurately recognize the damaged region by improving the selection of the hotspots and the growth rules.

Conclusion

The recognition accuracy is high, and the recognition time is shorter. The algorithm proposed in this work can improve the precision of recognizing the damaged parts of the biological image of the sports injury and shorten the recognition time. It has the feasibility to determine the damaged parts of sports injuries. Level of evidence II; Therapeutic studies: investigation of treatment results.

Sports Injury; Recognition; Exercise,high-intensity