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
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;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.1396
