A robust approach to detect gas bubbles through images analysis-Reference-Cited by-同舟云学术

A robust approach to detect gas bubbles through images analysis

Published:2020-07-02 Issue:2 Volume:14 Page:153-158
ISSN:1872-4981
Container-title:Intelligent Decision Technologies
language:
Short-container-title:IDT

Author:

Nguyen T.H.¹²,Nguyen T.L.³,Sidorov D.N.⁴,Dreglea A.I.¹⁴

Affiliation:

1. Baikal School of BRICS, Irkutsk National Research Technical University, Irkutsk, Russia

2. University of Information and Communication Technology, Thai Nguyen, Vietnam

3. Artificial Intelligence Laboratory, Institute of Information Technology and Data Science, Irkutsk National Research Technical University, Irkutsk, Russia

4. Institute of Energy Systems SB RAS, Irkutsk, Russia

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference23 articles.

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5. Wenyin Z, Ningde J, Xia L, Zhiqian N. Bubble image segmentation of gas/liquid two-phase flow based on improved canny operator. Int. Conf. Comput. Sci. Softw. Eng. 2008; 1: 799–801.

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