摘要
当前运动损伤组织检测存在误差大等问题,为了提高运动损伤组织检测效果,提出基于激光超声技术的运动损伤组织自动检测方法。首先分析运动损伤组织检测的研究现状,找到当前运动损伤组织检测效果差的原因,然后采集运动损伤组织的激光超声图像,采用主成分分析确认目标位置,双边滤波方法去除超声图像的噪声,最后运动损伤组织进行自动检测,并进行了运动损伤组织检测的仿真实验,结果表明,本方法的运动损伤组织图像的信噪比高,可以消除了噪声,运动损伤组织区域检测平均准确度为98.63%,运动损伤组织检测均方误差的平均值约为0.044。
At present,there are problems with large errors in the detection of sports injury tissues.In order to improve the detection effect of sports injury tissues,an automatic detection method for sports injury tissues based on laser ultrasound technology is proposed.First,analyze the research status of sports injury tissue detection,find out the reason why the current sports injury tissue detection effect is poor,then collect the laser ultrasonic image of sports injury tissue,confirm the target position by principal component analysis,remove the noise of ultrasonic image by Bilateral filter method,finally,carry out automatic detection of sports injury tissue,and carry out the simulation experiment of sports injury tissue detection.The results show that,The method proposed in this article has a high signal-to-noise ratio for motion damaged tissue images,which can eliminate noise.The average accuracy of motion damaged tissue area detection is 98.63%,and the average mean square error of motion damaged tissue detection is about 0.044.
作者
熊熠
刘昊
XIONG Yi;LIU Hao(Hubei University of Technology,Wuhan 430068,China;Zhongnan University of Economics and Law,Wuhan 430073,China)
出处
《激光杂志》
CAS
北大核心
2024年第3期265-268,共4页
Laser Journal
基金
教育部高等学校科学研究发展中心(No.2021ITA08001)。
关键词
激光超声技术
运动损伤组织
主成分分析
图像去噪
双边滤波方法
laser ultrasound technology
sports injury tissue
principal component analysis
image denoising
bilateral filtering method
