激光散斑在运动损伤恢复效果检测中的应用  

Application of laser speckle in the detection of recovery effect of sports injury

作　　者：张洁[1] 石新燕[1] 张楠 ZHANG Jie;SHI Xin-yan;ZHANG Nan(Shaanxi University of Chinese Medicine,Xianyang 712046,Shaanxi Province,China;Xijing University,Xi’an 710123,China)

机构地区：[1]陕西中医药大学,陕西咸阳712046 [2]西京学院,西安710123

出　　处：《信息技术》2023年第4期91-95,共5页Information Technology

摘　　要：目前方法对运动损伤修复效果检测时,不能清晰获取运动员损伤处的图像,导致检测效果差、精度低,为此,提出应用激光散斑检测运动损伤恢复效果。利用脉冲红外热成像技术获取损伤处的图像,利用激光散斑计算原始图像的变形程度,通过图像的稀疏融合提取图像缺陷特征,结合二进制粒子群算法与混沌算法计算图像的缺陷特征;通过SVM分类器完成对损伤图像的分类,实现对运动员损伤恢复效果的检测。实验结果表明,该方法检测恢复效果的精度高、效果好,与实际损伤恢复效果之间偏差较小。At present,when detecting the recovery effect of sports injury,the method fails to obtain the image of athletes’injury,resulting in poor detection effect and low precision.Therefore,the laser speckle in the detection of sports injury recovery effect is proposed.The damage image is obtained based on pulse infrared thermal imaging technology,the deformation degree of the original image is calculated by laser speckle,the image defect features are extracted by image sparse fusion,and the image defect features are calculated by combining binary particle swarm optimization algorithm and chaos algorithm.The classification of injury images is completed by SVM classifier to detect the effect of athletes’injury recovery.The experiment results show that this method has high accuracy,good effect and small deviation from the actual damage recovery effect.

关 键 词：激光散斑 运动损伤恢复 效果检测 脉冲红外热成像技术 SVM分类器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]