Acta Optica Sinica, Volume. 43, Issue 21, 2115002(2023)
Deep Learning-Based Three-dimensional Spatial Distribution Reconstruction for Light Field Micro-Particle Image Velocimetry with Convolutional Neural Network
Fig. 4. Samples with different particle concentrations in dataset. (a)(b) 0.4; (c)(d) 0.8; (e)(f) 1.2
Fig. 5. Convolutional neural network structure for reconstruction of three-dimensional distribution of light field micro-particle
Fig. 8. Spatial distribution of particles and single particle intensity distribution (dashed line) at 0.4 concentration. (a) Theoretical distribution of particles;(b) particle distribution reconstructed by LFD method; (c) particle distribution reconstructed by the prediction model; (d) particle intensity distribution along the xdirection; (e) particle intensity distribution along the zdirection
Fig. 9. Spatial distribution of particles and single particle intensity distribution (dashed line) at 0.8 concentration. (a) Theoretical distribution of particles; (b) particle distribution reconstructed by LFD method; (c) particle distribution reconstructed by the prediction model;(d) particle intensity distribution along the xdirection; (e) particle intensity distribution along the zdirection
Fig. 10. Spatial distribution of particles and single particle intensity distribution (dashed line) at 1.2 concentration. (a) Theoretical distribution of particles; (b) particle distribution reconstructed by LFD method; (c) particle distribution reconstructed by the prediction model; (d) particle intensity distribution along the xdirection; (e) particle intensity distribution along the zdirection
Fig. 13. Particle distributions reconstructed by the prediction model and LFD for light field images with different RSN
Fig. 14. Reconstruction quality of prediction model and LFD for light field images with different RSN
Fig. 15. Reconstruction quality of the prediction model for light field images with different particle number with RSN =10
Fig. 17. Experimental light field image and reconstructed particle distribution. (a) Light field image; (b) particle distribution reconstructed by LFD; (c) particle distribution reconstructed by the prediction model; (d) comparison of particle intensity distribution along x direction; (e) comparison of particle intensity distribution along z direction
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Shiyu Shen, Jian Li, Mengtao Gu, Biao Zhang, Chuanlong Xu. Deep Learning-Based Three-dimensional Spatial Distribution Reconstruction for Light Field Micro-Particle Image Velocimetry with Convolutional Neural Network[J]. Acta Optica Sinica, 2023, 43(21): 2115002
Category: Machine Vision
Received: May. 10, 2023
Accepted: Jun. 13, 2023
Published Online: Nov. 8, 2023
The Author Email: Chuanlong Xu (chuanlongxu@seu.edu.cn)