Analysis of Liquid Viscosity by Image Processing Techniques

Santhosh, K V and Shenoy, Vignesh (2016) Analysis of Liquid Viscosity by Image Processing Techniques. Indian Journal of Science and Technology, 9 (30). ISSN 0974-6846

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In this paper, a technique is proposed for measurement of viscosity using the principle of dispersion of incident light with variation of liquid viscosity. The objective of the proposed technique is to design a non contact technique to analyze the characteristics of dispersed image using image processing for the light incident on liquid whose viscosity is to be measured. Methods: A camera is used to capture the background image of the refracted image. This captured image is processed by techniques like thresholding, filtering, and histogram to arrive at a quantified relation between viscosity and histogram values. To establish the relation an artificial neural network model is designed. Proposed neural network is trained by levenburg Marquardt Algorithm, once trained it is tested with the real time system conditions. Findings: Once the neural network is designed, tests are conducted. Several samples of liquid are used with varying viscosity. From the obtained results it is clear that the proposed technique is able to measure viscosity accurately with a root mean percentage of error 2.01%. Application: From the obtained results it is clear that the proposed viscosity measurement technique can be used for measurement of liquid viscosity, even in dynamic flow conditions.

Item Type: Article
Uncontrolled Keywords: Image Processing, LabVIEW, Liquid Viscosity, Refraction
Subjects: Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 24 Aug 2016 15:15
Last Modified: 24 Aug 2016 15:15

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