On Image Processing Algorithm for Registration of Three-Dimensional Gas Bubble Movement Using a High Speed Camera

Jakub Augustyniak , Dariusz Mariusz Perkowski


The paper deals with an imaging computer tomography method based on simple image processing techniques for two phase flow analysis. Moreover, it has been presented the algorithm of 3D bubble trajectory reconstruction using a single high speed camera and the system of mirrors. In the experiment a glass tank filled with distilled water was used. The nozzle through which the bubbles were generated was placed in the center of the tank bottom. Through the use of basic image processing and analysis techniques such as noise reduction, smoothing, edge detection and few algorithms like close contour filling, tracking single bubble etc. proposed in paper it became possible to draw out 3D trajectories for gas bubble paths in liquid. In the paper the measurement error of imaging computer tomography method has been estimated. The maximum measurement error recorded for this method was within the limits ±0,65 [mm] for a certain set of parameters like: resolution, mirror angle and deviation error of z axis from the 90o vertical line. Trajectories of subsequently departing bubbles were visualized in the form of figures.
Author Jakub Augustyniak (FME / DMACS)
Jakub Augustyniak,,
- Department of Mechanics and Applied Computer Science
, Dariusz Mariusz Perkowski (FME / DMACS)
Dariusz Mariusz Perkowski,,
- Department of Mechanics and Applied Computer Science
Journal seriesInternational Journal of Engineering and Computer Science, ISSN 2319-7242, (0 pkt)
Issue year2019
Publication size in sheets0.5
Keywords in EnglishImage processing, OpenCV, triangulation, Kalman filter, gas bubble, nozzle
ASJC Classification3 Physical Sciences
URL https://ijecs.in/index.php/ijecs/article/view/4283/3897
Internal identifier000045313
Languageen angielski
LicenseJournal (articles only); published final; Other open licence; after publication
Score (nominal)5
Score sourcejournalList
ScoreBUT score = 5.0
Ministerial score = 5.0, 18-03-2020, ArticleFromJournal
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