한국가시화정보학회지 (Journal of the Korean Society of Visualization)

  • 제19권1호
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  • Pages.28-35
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  • 2021
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  • 1598-8430(pISSN)
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  • 2093-808X(eISSN)
한국가시화정보학회 (The Korean Society of Visualization)
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최적 타원 생성 알고리즘 기반 2상 기포 유동 영상 처리 기법

Image processing method of two-phase bubbly flow using ellipse fitting algorithm

  • Myeong, Jaewon (Department of Mechanical Engineering, Chungnam National University) ;
  • Cho, Seolhee (Department of Mechanical Engineering, Chungnam National University) ;
  • Lee, Woonghee (Department of Energetic Materials & Pyrotechnics, Hanwha Corporation Defense R&D Center) ;
  • Kim, Sungho (Department of Energetic Materials & Pyrotechnics, Hanwha Corporation Defense R&D Center) ;
  • Park, Youngchul (Agency for Defense Development) ;
  • Shin, Weon Gyu (Department of Mechanical Engineering, Chungnam National University)
  • 투고 : 2021.02.05
  • 심사 : 2021.03.20
  • 발행 : 2021.04.30
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초록

In this study, an image processing method for the measurement of two-phase bubbly flow is developed. Shadowgraphy images obtained by high-speed camera are used for analysis. Some bubbles are generated as single unit and others are overlapped or clustered. Single bubbles can be easily analyzed using parameters such as bubble shape, centroid, and area. But overlapped bubbles are difficult to transform clustered bubbles into segmented bubbles. Several approaches were proposed for the bubble segmentation such as Hough transform, connection point method and watershed. These methods are not enough for bubble segmentation. In order to obtain the size distribution of bubbles, we present a method of splitting overlapping bubbles using watershed and approximating them to ellipse. There is only 5% error difference between manual and automatic analysis. Furthermore, the error can be reduced down to 1.2% when a correction factor is used. The ellipse fitting algorithm developed in this study can be used to measure bubble parameters accurately by reflecting the shape of the bubbles.

키워드

과제정보

본 연구는 (주)한화와 국방과학연구소의 지원으로 수행되었으며, 이에 감사드립니다.

참고문헌

  1. W. Lauterborn, C.D. ohl, 1997, "Cavitation bubble dynamics," Ultrasonics sonochemistry, Vol. 4, pp. 65-75. https://doi.org/10.1016/S1350-4177(97)00009-6
  2. Temesgen, T., Bui, T. T., Han, M., Kim, T. I. and Park, H., 2017, "Micro and nanobubble technologies as a new horizon for water-treatment techniques: A review," Advances in colloid and interface science, Vol. 246, pp.40-51. https://doi.org/10.1016/j.cis.2017.06.011
  3. Vazquez, A., Sanchez, R. M., Salinas-Rodriguez, E., Soria, A., & Manasseh, R., 2005, "A look at three measurement techniques for bubble size determination." Experimental thermal and fluid science, Vol. 30, pp.49-57. https://doi.org/10.1016/j.expthermflusci.2005.03.018
  4. Settles, G. S., 2001, Schlieren and shadowgraph techniques: visualizing phenomena in transparent media. Springer Science & Business Media.
  5. Zhu, X., Xie, J., Liao, Q., Chen, R., and Wang, H., 2014, "Dynamic bubbling behaviors on a micro-orifice submerged in stagnant liquid," International Journal of Heat and Mass Transfer, Vol. 68, pp.324-331. https://doi.org/10.1016/j.ijheatmasstransfer.2013.09.044
  6. Shi, H., Jiang, H., Liu, Y., and Chen, R., 2020, "Bubble dynamics and mass transfer characteristics from an immersed orifice plate," Journal of Chemical Technology & Biotechnology.
  7. Hough, P. V., 1962, U.S. Patent No. 3,069,654. Washington, DC: U.S. Patent and Trademark Office.
  8. Kiryati, N., Eldar, Y., and Bruckstein, A. M., 1991, "A probabilistic Hough transform," Pattern recognition, Vol. 24, pp. 303-316. https://doi.org/10.1016/0031-3203(91)90073-E
  9. Xu, L., Oja, E., and Kultanen, P., 1990, "A new curve detection method: randomized Hough transform (RHT)," Pattern recognition letters, Vol 11, pp. 331-338. https://doi.org/10.1016/0167-8655(90)90042-Z
  10. Zhang, W. H., Jiang, X., and Liu, Y. M., 2012, "A method for recognizing overlapping elliptical bubbles in bubble image," Pattern Recognition Letters, Vol. 33, pp.1543-1548. https://doi.org/10.1016/j.patrec.2012.03.027
  11. Lau, Y. M., Deen, N. G., and Kuipers, J. A. M., 2013, "Development of an image measurement technique for size distribution in dense bubbly flows," Chemical Engineering Science, Vol. 94, pp.20-29. https://doi.org/10.1016/j.ces.2013.02.043
  12. Haddad, R. A., and Akansu, A. N., 1991, "A class of fast Gaussian binomial filters for speech and image processing," IEEE Transactions on Signal Processing, Vol. 39, pp.723-727. https://doi.org/10.1109/78.80892
  13. Otsu, N., 1979, "A threshold selection method from gray-level histograms." IEEE Trans. Syst. Man Cybern, Vol. 9, pp.62-66. https://doi.org/10.1109/TSMC.1979.4310076
  14. Beucher, S., 1979, "Use of watersheds in contour detection," In Proceedings of the International Workshop on Image Processing. CCETT.
  15. Fitzgibbon, A. W. and Fisher, R. B., 1996, "A buyer's guide to conic fitting," University of Edinburgh, Department of Artificial Intelligence, pp.513-522.
  16. Fitzgibbon, A., Pilu, M. and Fisher, R. B., 1999, "Direct least square fitting of ellipses," IEEE Transactions on pattern analysis and machine intelligence, Vol. 21, pp. 476-480. https://doi.org/10.1109/34.765658
  17. Clift, R., Grace, J. R., and Weber, M. E., 2005, "Bubbles, drops, and particles," Courier Corporation.
  18. Abramoff, M. D., Magalhaes, P. J. and Ram, S. J., 2004, "Image processing with ImageJ," Biophotonics international, Vol. 11, pp. 36-42.
  19. Rasband, W.S. ImageJ. U.S. National Institutes of Health, Bethesda, MD, USA, Available online: http://imagej.nih.gov/ij
  20. Plais, C. and Augier, F., 2016, "Effect of liquid viscosity on mixing times in bubble columns," Theoretical Foundations of Chemical Engineering, Vol 50, pp. 969-974. https://doi.org/10.1134/S0040579516060142
  21. Heeres, A. S., Heijnen, J. J., van der Wielen, L. A. and Cuellar, M. C., 2016, "Gas bubble induced oil recovery from emulsions stabilised by yeast components," Chemical Engineering Science, Vol 145, pp. 31-44. https://doi.org/10.1016/j.ces.2016.02.011