Paper
19 November 2021 An improved particle information extraction method for laser interference particle imaging technology
Author Affiliations +
Proceedings Volume 12059, Tenth International Symposium on Precision Mechanical Measurements; 120591R (2021) https://doi.org/10.1117/12.2614672
Event: Tenth International Symposium on Precision Mechanical Measurements, 2021, Qingdao, China
Abstract
The laser interferometric particle imaging technology is used to irradiate the particle spray field with flaky laser beams and collect the scattered light images of the particles on the defocus surface of the imaging lens with a high-speed CCD camera. Based on the existing laser interference particle imaging measurement methods, this paper proposes an automatic recognition algorithm of interference fringe pattern based on morphology Hough transform and a fringe frequency extraction algorithm based on Fourier transform. The overlapping particles are accurately recognized through the improved particle interference fringe pattern recognition algorithm, so as to improve the particle measurement accuracy. Two algorithms are used to simulate and analyze the basic circle and interference fringes, the correct center coordinates and fringe frequency are obtained, and the interference particle images in particle fields with different concentrations are simulated and verified.
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Yarui Ma, Jiwen Cui, Hui Wang, and Jiubin Tan "An improved particle information extraction method for laser interference particle imaging technology", Proc. SPIE 12059, Tenth International Symposium on Precision Mechanical Measurements, 120591R (19 November 2021); https://doi.org/10.1117/12.2614672
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KEYWORDS
Particles

Fringe analysis

Detection and tracking algorithms

Hough transforms

Fourier transforms

Edge detection

Computer simulations

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