B-U-net: Holographic image segmentation of multi-scale dense particle field with noisy training dataset-Reference-Cited by-同舟云学术

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B-U-net: Holographic image segmentation of multi-scale dense particle field with noisy training dataset

Published:2023-11 Issue:11 Volume:34 Page:104201
ISSN:0921-8831
Container-title:Advanced Powder Technology
language:en
Short-container-title:Advanced Powder Technology

Author:

Zhang Hang,Wang Yu,Wang Lei,Pang Zhentao,Zhang Letian,Lian Chunfeng,Wu Yingchun,Wu Xuecheng

Funder

National Natural Science Foundation of China

National Key Laboratory of Shockwave and Detonation Physics

Publisher

Elsevier BV

Subject

Mechanics of Materials,General Chemical Engineering

Reference35 articles.

1. Laser holography measurement and theoretical analysis of a pressure-swirl nozzle spray;Xiao;Adv. Mech. Eng.,2018

2. Testing an in-line digital holography ’inverse method’for the lagrangian tracking of evaporating droplets in homogeneous nearly isotropic turbulence;Chareyron;New J. Phys.,2012

3. Evaluation of laser diffraction-based particle size measurements using digital inline holography;Kumar;Meas. Sci. Technol.,2020

4. Secondary droplet size distribution upon breakup of a sub-milimeter droplet in high speed cross flow;Li;Int. J. Multiph. Flow,2022

5. Automated droplet size distribution measurements using digital inline holography;Kumar;J. Aerosol Sci.,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Adaptive in-focus particle detection and segmentation in holographic 3D image with mechanism-guided machine learning;Optics and Lasers in Engineering;2024-10

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