Analysis of liquid viscosity by image processing techniques

K. V. Santhosh, Vighnesh Shenoy

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Objective: 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.

Original languageEnglish
Article number98693
JournalIndian Journal of Science and Technology
Volume9
Issue number30
DOIs
Publication statusPublished - 2016

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Viscosity of liquids
Image processing
Viscosity
Neural networks
Viscosity measurement
Real time systems
Cameras
Liquids

All Science Journal Classification (ASJC) codes

  • General

Cite this

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title = "Analysis of liquid viscosity by image processing techniques",
abstract = "Objective: 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.",
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Analysis of liquid viscosity by image processing techniques. / Santhosh, K. V.; Shenoy, Vighnesh.

In: Indian Journal of Science and Technology, Vol. 9, No. 30, 98693, 2016.

Research output: Contribution to journalArticle

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