Journal of the Korean Society of Visualization (한국가시화정보학회지)

The Korean Society of Visualization (한국가시화정보학회)
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Image processing method of two-phase bubbly flow using ellipse fitting algorithm

최적 타원 생성 알고리즘 기반 2상 기포 유동 영상 처리 기법

  • 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)
  • Received : 2021.02.05
  • Accepted : 2021.03.20
  • Published : 2021.04.30
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Abstract

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.

Keywords

Acknowledgement

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

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