NDLI: Detection and tracking of bubbles in two-phase air water flow for non-convergent sinusoidal channel

Content Provider	IET Digital Library
Author	Rahman, Altaf ur Sajid, Muhammad Gillani, Syed Omer Uddin, Emad Hassan, Ibrahim
Abstract	Bubble detection and tracking, which is essential for the enhancement of gas–liquid two-phase flow applications, is difficult due to optical noise surrounding bubble boundaries. Two-phase flow applications involving unconventional wavy channels further complicate these tasks by introducing non-linearity. In this work, the authors apply a path-based approach to transform a sinusoidal channel into a straightened horizontal channel for bubble detection and tracking. Segmented morphological operations are applied to the linear channel to identify each bubble as a single entity and to eliminate noise caused due to illumination conditions. The bubbles are detected through blob analysis and are associated across different frames based on motion, estimated by Kalman filter in both sinusoidal and path-based approach to the sinusoidal channel. The results show that the proposed path-based straightened channel gives more accurate results for the benchmark parameters of bubble count and bubble velocities than the sinusoidal channel with a percentage error reduction of 31.61% for bubble count and 27.36% for velocity.
Starting Page	692
Ending Page	697
Page Count	6
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 4, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5684
Journal	IET Image Processing
Publisher Date	2019-01-16
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bubble Count Bubble Detection Bubble Velocities Bubbles Channel Flow Computer Vision And Image Processing Technique Control Technology And Theory Flows in Ducts, Channel, And Conduits Gas–liquid Two-phase Flow Applications Image Segmentation Kalman Filter Linear Channel Mathematical Analysis Multiphase Flows Nonlinearity Optical Noise Surrounding Bubble Optical, Image And Video Signal Processing Path-based Approach Path-based Straightened Channel Sinusoidal Channel Straightened Horizontal Channel Tracking Two-phase Air Water Flow Two-phase Flow Unconventional Wavy Channel
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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