TY - GEN
T1 - An Intrusive Strong Shock Overload Measurement Method Based on High Speed Image Acquisition and Processing
AU - Liu, Qi Tao
AU - Yue, Xiao Kui
AU - Chao, Hong Xiao
AU - Lei, Qiang
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - In order to meet the requirement of accurate measurement of overload waveform generated by intrusive strong shock wave generator in overload test, a strong shock overload measurement method based on high-speed image acquisition and processing is proposed in this paper. Analyze the intrusive waveform generation process of the waveform generating specimen, install an easily identifiable checkerboard tracking mark on it, and use high-speed camera testing equipment to obtain the continuous frame image information of the whole process of the waveform generating specimen penetrating into the buffer material, through the tracking identification region fast location method based on gray template matching and the multi-point synchronous location method based on Harris sub-pixel corner detection. Realize the fast and high-precision positioning processing of a large number of target image data, and finally achieve high-precision acquisition of the motion state parameters of the high-speed moving waveform.
AB - In order to meet the requirement of accurate measurement of overload waveform generated by intrusive strong shock wave generator in overload test, a strong shock overload measurement method based on high-speed image acquisition and processing is proposed in this paper. Analyze the intrusive waveform generation process of the waveform generating specimen, install an easily identifiable checkerboard tracking mark on it, and use high-speed camera testing equipment to obtain the continuous frame image information of the whole process of the waveform generating specimen penetrating into the buffer material, through the tracking identification region fast location method based on gray template matching and the multi-point synchronous location method based on Harris sub-pixel corner detection. Realize the fast and high-precision positioning processing of a large number of target image data, and finally achieve high-precision acquisition of the motion state parameters of the high-speed moving waveform.
KW - Harris sub-pixel corner positioning
KW - Penetrating impact overload
KW - Tracking identification
UR - https://www.scopus.com/pages/publications/85175630969
U2 - 10.1109/ICIVC58118.2023.10269957
DO - 10.1109/ICIVC58118.2023.10269957
M3 - 会议稿件
AN - SCOPUS:85175630969
T3 - 2023 8th International Conference on Image, Vision and Computing, ICIVC 2023
SP - 771
EP - 775
BT - 2023 8th International Conference on Image, Vision and Computing, ICIVC 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Image, Vision and Computing, ICIVC 2023
Y2 - 27 July 2023 through 29 July 2023
ER -