A New Method for Determining the Sampling Volume and the Number of Particles Within It for Particle Concentration Identification in Defocused Interferometric Particle Imaging

Zhang, Hongxia; Zhou, Ye; Liu, Jing; Jia, Dagong; Liu, Tiegen

doi:10.1109/jphot.2017.2648258

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…However, interferometric particle imaging (IPI) [5] has the advantages of * Author to whom any correspondence should be addressed. wide measurement range, high precision, non-contact measurement and rapid measurement, which is extensively applied to the measurement of irregular particles [7][8][9][10][11][12][13][14]. Researchers have conducted considerable work on the basis of this technique.…”

Section: Introductionmentioning

confidence: 99%

Measurement of irregular particle size from the reconstructed shape images

Sun,

Qiu,

Zhang

et al. 2023

J. Opt.

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A method for measuring the size of irregular particles is proposed. The smallest bounding rectangular box of the particle image can be acquired after obtaining interferometric out-of-focus image by using interferometric particle imaging technology and reconstructing particle shape through convolutional neural network. The number of image pixels of the particle can be obtained from the smallest bounding rectangular box. A new pixel size is defined by using the box counting method based on the analysis of the relationship between particle size and pixel size. The width and height of the particles are then obtained. The maximum relative errors in width and height are 1.47% and 1.16%, respectively. The results indicate that the proposed method can provide a research basis for the realization of three-dimensional size measurement of particles.

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Section: Introductionmentioning

confidence: 99%

Measurement of irregular particle size from the reconstructed shape images

Sun,

Qiu,

Zhang

et al. 2023

J. Opt.

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“…Interferometric rough particle imaging can offer a solution in this case: it consists in the analysis of the speckle patterns produced by the particles under laser illumination [6][7][8][9]. It is an extension of Interferometric Laser Imaging for Droplet Sizing (ILIDS) [10][11][12][13][14][15][16][17][18] to the characterization of rough particles. However, in the case of rough particles, the technique is not limited to a small range of scattering angles, θ, as for droplets.…”

Section: Introductionmentioning

confidence: 99%

3D-Tracking of Sand Particles in a Wave Flume Using Interferometric Imaging

Brunel

Ouldarbi

Fahy

et al. 2022

Optics

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We report the 3D-tracking of irregular sand particles in a wave flume using a cylindrical interferometric particle imaging set-up. The longitudinal position of each particle is deduced from the ellipticity of its speckle-like interferometric image. The size of a particle is determined from the analysis of the 2D Fourier transform of its defocused image. It is further possible to identify some rotation of the particles. Simulations accurately confirm the experimental determination of the different parameters (3D position and size of each particle).

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2D shape reconstruction of submillimetric irregular rough particles from speckle pattern in interferometric particle imaging measurement

Zhang

Hou

et al. 2023

Review of Scientific Instruments

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Particle shape is a significant feature of irregular particles. The interferometric particle imaging (IPI) technique has been introduced to retrieve submillimetric irregular rough particle shapes, while inevitable experimental noises hinder the convergence of two-dimensional (2D) particle shapes from single speckle patterns. In this work, a hybrid input–output algorithm with shrink-wrap support and oversampling smoothness constraints is utilized to suppress the Poisson noise in IPI measurement and recover accurate 2D shapes of particles. Our method is tested in numerical simulations on ice crystal shapes and actual IPI measurements on four different types of irregular, rough particles. The shape similarity of the reconstructed 2D shape has reached an average Jaccard Index score of 0.927, and the relative deviation of the reconstructed size is within 7% for all 60 tested irregular particles at the maximum shot noise level of 7.4%. Furthermore, our method has obviously reduced the uncertainty in the 3D shape reconstruction of irregular, rough particles.

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A New Method for Determining the Sampling Volume and the Number of Particles Within It for Particle Concentration Identification in Defocused Interferometric Particle Imaging

Cited by 3 publications

References 11 publications

Measurement of irregular particle size from the reconstructed shape images

Measurement of irregular particle size from the reconstructed shape images

3D-Tracking of Sand Particles in a Wave Flume Using Interferometric Imaging

2D shape reconstruction of submillimetric irregular rough particles from speckle pattern in interferometric particle imaging measurement

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