BubSAM: Bubble segmentation and shape reconstruction based on Segment Anything Model of bubbly flow

IF 3.5 3区 工程技术 Q2 ENGINEERING, CHEMICAL AIChE Journal Pub Date : 2024-08-21 DOI:10.1002/aic.18570
Haohan Xu, Xin Feng, Yuqi Pu, Xiaoyue Wang, Dingwang Huang, Weipeng Zhang, Xiaoxia Duan, Jie Chen, Chao Yang
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Abstract

Accurate detection and analysis of bubble size and shape in bubbly flow are critical to understanding mass and heat transfer processes. Convolutional neural networks have limitations in different bubble images due to their dependence on large amounts of labeled data. A new foundational Segment Anything Model (SAM) recently attracts lots of attention for its zero-shot segmentation performance. Herein, we developed a novel image processing method named bubSAM, which achieves efficient and accurate bubble segmentation and shape reconstruction based on SAM. The segmentation performance of bubSAM is 30% higher than that of SAM, and its accuracy reaches 90% under different bubbly flow conditions. The accuracy of bubble shape reconstruction (BSR) algorithm in bubSAM is about 30% higher than that of typical ellipse fitting method, thus better restoring the geometric shape of bubbles. BubSAM can provide great support for understanding gas–liquid multiphase flow and design of industrial multiphase reactors.

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BubSAM:基于气泡流分段模型的气泡分段和形状重构
准确检测和分析气泡流中气泡的大小和形状对于了解传质和传热过程至关重要。卷积神经网络由于依赖大量标记数据,在不同气泡图像中存在局限性。最近,一种新的基础分割模型(SAM)因其零镜头分割性能而备受关注。在此,我们开发了一种名为 bubSAM 的新型图像处理方法,该方法基于 SAM 实现了高效、准确的气泡分割和形状重建。在不同的气泡流动条件下,bubSAM 的分割性能比 SAM 高 30%,准确率达到 90%。bubSAM 中的气泡形状重建(BSR)算法的精度比典型的椭圆拟合方法高出约 30%,从而更好地还原了气泡的几何形状。BubSAM 可为理解气液多相流和设计工业多相反应器提供有力支持。
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来源期刊
AIChE Journal
AIChE Journal 工程技术-工程:化工
CiteScore
7.10
自引率
10.80%
发文量
411
审稿时长
3.6 months
期刊介绍: The AIChE Journal is the premier research monthly in chemical engineering and related fields. This peer-reviewed and broad-based journal reports on the most important and latest technological advances in core areas of chemical engineering as well as in other relevant engineering disciplines. To keep abreast with the progressive outlook of the profession, the Journal has been expanding the scope of its editorial contents to include such fast developing areas as biotechnology, electrochemical engineering, and environmental engineering. The AIChE Journal is indeed the global communications vehicle for the world-renowned researchers to exchange top-notch research findings with one another. Subscribing to the AIChE Journal is like having immediate access to nine topical journals in the field. Articles are categorized according to the following topical areas: Biomolecular Engineering, Bioengineering, Biochemicals, Biofuels, and Food Inorganic Materials: Synthesis and Processing Particle Technology and Fluidization Process Systems Engineering Reaction Engineering, Kinetics and Catalysis Separations: Materials, Devices and Processes Soft Materials: Synthesis, Processing and Products Thermodynamics and Molecular-Scale Phenomena Transport Phenomena and Fluid Mechanics.
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