Paper
29 April 2022 Particle field measurement based on in-line digital holography
Honglin Li, Yuecong Wang, Lei Liu
Author Affiliations +
Proceedings Volume 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022); 122471P (2022) https://doi.org/10.1117/12.2636833
Event: 2022 International Conference on Image, Signal Processing, and Pattern Recognition, 2022, Guilin, China
Abstract
The parameter information of particle size and position in particle field is of great significance in scientific research, engineering and other fields. In this paper, after the particle hologram is obtained by in-line digital holography, the angular spectrum algorithm is used to reconstruct the particle field, and the amplitude and phase information of the particle field are obtained; The gray gradient compound method is used for particle recognition, and the particles are separated from the background; Then the watershed segmentation algorithm is used to segment the overlapping particles, and the Hough transform is used to extract the particle size, transverse position and other information; Finally, the depth information of particles is determined by Laplace operator function method, and the three-dimensional field distribution of particle field is obtained. The experimental results show that the measurement error of polystyrene particles with standard diameter of 50μm is 1.53μm and the measurement error rate is 3.06%, which proves the feasibility of this method.
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Honglin Li, Yuecong Wang, and Lei Liu "Particle field measurement based on in-line digital holography", Proc. SPIE 12247, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2022), 122471P (29 April 2022); https://doi.org/10.1117/12.2636833
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KEYWORDS
Particles

Digital holography

Image segmentation

3D image reconstruction

Holograms

Composites

Atmospheric particles

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