摘要
针对传统机械式引伸计应变测量的局限性,提出了视频应变测量的目标精密边缘检测,具有非接触式、全场景、可视化好、智能性高以及应用广泛等优点。对一阶微分期望值和小波变换期望值两种亚像素边缘检测理论分析和试验测量验证,采用精度较高的小波变换期望值亚像素边缘检测并应用到视频应变测量中,试验在30帧/秒,满足一定的误差要求,具有较高的精度,实现了实际工程的应变动态测量。
The strain measurement in material tensile experiment has been an important subject of the material me- chanics. In order to overcome the limitations of the traditional strain measurements by mechanical extensometer,we propose a precision edge detection of the target in the video strain measurement ,which has the advantages of non-contact ,full-scene measurement, good visualization, high intelligence, and wide range of application etc. The proposed approach can achieve re- al-time measurement of strain during the material tensile experiment. Through theoretical analysis and experimental meas- urements of the first-order differential expectations of sub-pixel algorithm and sub-pixel wavelet transform expectations algo- rithm, we apply the highest precision algorithm to the precision edge detection of the target in the video strain measurement. At the frequency of 30 frame/second, the algorithm obtains a high precision, and its error is within the accepted range, which realized the dynamic measurement of strain in the actual engineering.
出处
《工具技术》
北大核心
2016年第9期95-97,共3页
Tool Engineering
基金
国家自然科学基金(81501556)
中央高校基本科研业务费资助项目(L1519004)
关键词
视频应变测量
亚像素
边缘检测
动态测量
video strain measurement
sub-pixel
edge detection
dynamic measurement
