Particle Shape Recognition with Interferometric Particle Imaging Using a Convolutional Neural Network in Polar Coordinates

Particle Shape Recognition with Interferometric Particle Imaging Using a Convolutional Neural Network in Polar Coordinates

A convolutional neural network (CNN) was used to identify the morphology of rough particles from their interferometric images. The tested particles had the shapes of sticks, crosses, and dendrites as well as Y-like, L-like, and T-like shapes. A conversion of the interferometric images to polar coord...

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Bibliographic Details
Main Authors: Alexis Abad, Alexandre Fahy, Quentin Frodello, Barbara Delestre, Mohamed Talbi, Marc Brunel
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Photonics
Subjects:
interferometric particle imaging
speckle
convolutional neural network
Online Access:https://www.mdpi.com/2304-6732/10/7/779

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