Bubble identification from images with machine learning methods
An automated and reliable processing of bubbly flow images is highly needed to analyse large data sets of comprehensive experimental series. A particular difficulty arises due to overlapping bubble projections in recorded images, which highly complicates the identification of individual bubbles. Rec...
Main Authors: | Atassi, Y. (Author), Hessenkemper, H. (Author), Lucas, D. (Author), Starke, S. (Author), Ziegenhein, T. (Author) |
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Format: | Article |
Language: | English |
Published: |
Elsevier Ltd
2022
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Subjects: | |
Online Access: | View Fulltext in Publisher |
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