DocumentCode
479795
Title
Bubble Image Segmentation of Gas/Liquid Two-Phase Flow Based on Improved Canny Operator
Author
Wenyin, Zhang ; Ningde, Jin ; Xia, Lin ; Zhiqiang, Nie
Author_Institution
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
799
Lastpage
801
Abstract
Image segmentation is the foundation of multi-flow high speed video analysis. Based on improved canny operator, we provide a method to bubble gas/liquid two-phase flow image segmentation, which takes the more gray distribution information into account, uses gauss sigma smooth filter to maintain edges and eliminate noise, then by non-maximum control of grads and lag-threshold process, the clear bubble edge image is obtained. The method is very effective for the analysis and recognition of bubble multi-flow.
Keywords
bubbles; image segmentation; smoothing methods; two-phase flow; bubble gas/liquid two-phase flow; bubble multi-flow; canny operator; gauss sigma smooth filter; high speed video analysis; image segmentation; lag-threshold process; Cameras; Filters; Fluid flow; Gaussian noise; Image edge detection; Image segmentation; Kernel; Sensor arrays; Sensor systems; Smoothing methods; Canny operator; image segmentation; two-phase flow;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.1396
Filename
4721870
Link To Document