NDLI: An image differencing method for interface level detection in separation cells

Content Provider	Springer Nature Link
Author	Jampana, Phanindra Shah, Sirish
Copyright Year	2011
Abstract	Bitumen extraction from oil sands is carried out in large separation cells using a water-based extraction process. Controlling the Bitumen-froth and Middlings interface in these cells at an optimum level provides significant economical and environmental benefits. Traditional sensors are not reliable in estimating this interface level and novel vision-based sensors have been developed previously to overcome this problem. These sensors estimate the interface level and its confidence for separation cells with a single sight glass. The confidence value only represents the turbidity of the interface and hence cannot be used for control decision making in all process conditions. The current work describes an image differencing algorithm for interface level detection which also facilitates the computation of a confidence estimate that is accurate in most process situations. The confidence value is computed based on noise statistics, an appropriately chosen edge detection method and a change detection algorithm. Another significant advantage of the algorithm is that both the interface level and the confidence estimation procedures can be extended in a straight-forward manner to handle the presence of multiple sight glasses. Off-line results show that the algorithm accurately detects the interface level in normal process conditions (with high confidence values) and outputs correct confidence values in other situations with very low false-positive and false-negative error rates. On-line industrial implementation results show that the vision sensor tracks the interface level very closely and results in significant automation of plant.
Starting Page	283
Ending Page	298
Page Count	16
File Format	PDF
ISSN	09328092
Journal	Machine Vision and Applications
Volume Number	23
Issue Number	2
e-ISSN	14321769
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-02-16
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Bitumen extraction Bitumen froth–Middlings interface Vision sensor Image differencing Communications Engineering, Networks Pattern Recognition Image Processing and Computer Vision
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Computer Science Applications Software Hardware and Architecture

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