A machine vision particle image velocimetry system for the monitoring opaque slurry motion

The authors describe the application of a machine vision method to the monitoring of surface flow measurement. A white-light stroboscopic illumination was used to enable electronic, multiple-image capture of slurry surface behavior. Techniques for feature tracking are described and illustrated using drilling mud as the target fluid. In industrial applications the fluids are frequency opaque so that internal measurements by this method are not possible. Bulk flow quantities and internal velocities can be obtained by applying a transformation representing the relationship between the flow in a channel, surface velocities channel geometrical shape, and physical properties of fluid. In the present case, a channel with a square cross section was used to obtain this relationship.<
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