A machine learning approach to tracking and characterizing planar or near planar fluid flow from motion history images

A machine learning approach to tracking and characterizing planar or near planar fluid flow from motion history images

This paper presents the design of a Machine Vision technique to segment planar or near-planar fluid flow, which uses artificial neural networks to characterize fluid flow in determining rate of flow and source of the fluid, which can be applied in various areas, e.g. characterizing fluid flow in sur...

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Bibliographic Details
Main Authors: Mahendra Gooroochurn, David Kerr, Kaddour Bouazza-Marouf
Format: Default Conference proceeding
Published: 2019
Subjects:
Mechanical engineering not elsewhere classified
Fluid flow characterization
Machine learning
Artificial neural network
Image segmentation
Change detection
Motion tracking
Motion history image
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/37332
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https://hdl.handle.net/2134/37332

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