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Advances in Mechanical Engineering
Volume 2013 (2013), Article ID 143939, 6 pages
Research Article

Multibubbles Segmentation and Characteristic Measurement in Gas-Liquid Two-Phase Flow

1College of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China
2Tianjin Key Laboratory of Process Measurement and Control, Tianjin 300072, China

Received 10 July 2013; Accepted 3 September 2013

Academic Editor: Fuqiang Zhou

Copyright © 2013 Ting Xue et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Gas-liquid two-phase flow is a typical flow, and bubble characteristic measurement is of great importance to discover flow mechanism and guide the practical fluid mechanical engineering. In this paper, a virtual stereo vision measurement system mainly consists of a high-speed camera, and two optical reflector sets was established, and bubble images in gas-liquid two-phase flow were captured by the optimized virtual stereo vision sensor. Overlapping bubbles segmentation is indispensable for the images, and an effective multibubbles segmentation method was proposed. Firstly the convexities of the overlapped area were identified based on the chain code difference, and the pseudoconcave points were removed based on the concave length constraint. According to the matching principle of concave points, the segmentation area was clarified, and the overlapping bubbles were segmented effectively. Therefore, the modality and motion feature parameters of bubbles were estimated, and three-dimensional bubble trajectories and velocity vector field were reconstructed according to the measurement model of virtual stereo vision. The experimental results show that the segmentation and characteristic measurement method of multibubbles is valid and with high precision.