Residence Time Distribution Determination Using On-Line Digital Image Processing

2009 ◽  
Vol 61 (3-4) ◽  
pp. 146-153 ◽  
Author(s):  
Siew Yoong Lee ◽  
Milford A. Hanna ◽  
David D. Jones
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Residence Time ◽  
Digital Image ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
On Line

A method for measuring the residence time distribution of particles in a fluidized bed based on digital image analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jiamin Li ◽  
Xiaoping Chen ◽  
Jiliang Ma ◽  
Cai Liang
Keyword(s):  
Image Analysis ◽  
Fluidized Bed ◽  
Residence Time ◽  
Digital Image ◽  
Time Distribution ◽  
Residence Time Distribution ◽  
Digital Image Analysis ◽  
Color Space ◽  
The Difference ◽  
Accuracy And Repeatability

AbstractTraditional methods for measuring the residence time distribution (RTD) of particles in a fluidized bed are complex and time-consuming. To this regard, the present work proposes a new measurement method with remarkable efficiency based on digital image analysis. The dyed tracers are recognized in the images of the samples due to the difference of colors from bed materials. The HSV and the well-known RGB color space were employed to distinguish the tracers. By enhancing the Saturation and the Value in HSV and adjusting the gray range of images, the recognition error is effectively reduced. Then the pixels representing the tracers are distinguished, based on which the concentration of the tracers and RTD are measured. The efficiency, accuracy and repeatability of the method were validated by RTD measurements experiments. The method is also fit for distinguishing the target particles from multi-component systems consisting of particles of different colors.

Digital image processing as a tool for on-line monitoring of froth in flotation plants

1994 ◽  
Vol 7 (9) ◽  
pp. 1149-1164 ◽  
Author(s):  
D.W. Moolman ◽  
C. Aldrich ◽  
J.S.J. Van Deventer ◽  
W.W. Stange
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Digital Image ◽  
On Line
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