Abstract
The application of computer vision systems for the monitoring and control of hydrocyclone classifiers is considered. It is shown that by capturing and digitizing videographic images of the underflow of a hydrocylone, it is possible to accurately determine the spray angle of the underflow by means of suitable edge detection techniques. This spray angle can consequently be related to the performance of the cyclone.
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