Laser & Optoelectronics Progress, Volume. 59, Issue 14, 1415005(2022)
Research Progress in Microvibration Detection Technology Based on Laser Speckles
Fig. 2. Pig heartbeat and respiration signals extraction based on laser speckle.(a) Extracted heartbeat signal; (b) part of extracted heartbeat signal; (c) extracted respiratory signal; (d) part of extracted respiratory signal
Fig. 3. Flowchart of vibration measurement based on adaptive seed point matching algorithm
Fig. 4. Calculation result of digital image correlation algorithm. (a) Correlation coefficient distribution;
Fig. 11. Restoration of single frequency vibration signal by phase correlation method. (a) 300 Hz-1.5 kHz; (b) 3 kHz-7 kHz; (c) 12 kHz-20 kHz
Fig. 12. Laser speckle microvibration signal extraction method based on deep neural network. (a) Structure of neural network; (b) flowchart of data processing
Fig. 13. Schematic diagram of image exposure and readout of a rolling shutter camera[35]
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Xiaozhong Wang, Rui Yu, Wei Guo, Xueyuan Huang, Wenchen Li, Cheng Wang. Research Progress in Microvibration Detection Technology Based on Laser Speckles[J]. Laser & Optoelectronics Progress, 2022, 59(14): 1415005
Category: Machine Vision
Received: Mar. 24, 2022
Accepted: May. 5, 2022
Published Online: Jul. 1, 2022
The Author Email: Xiaozhong Wang (wangxz@xmu.edu.cn)