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Analysis of liquid viscosity by image processing techniques
K. V. Santhosh
*
, Vighnesh Shenoy
*
Corresponding author for this work
Manipal Institute of Technology, Manipal
Department of Instrumentation and Control Engineering, Manipal Institute of Technology, Manipal
Research output
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Contribution to journal
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Article
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peer-review
9
Citations (Scopus)
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Engineering
Liquid Viscosity
100%
Processing Technique
100%
Image Processing
100%
Fluid Viscosity
100%
Light Incident
33%
Histogram
33%
Artificial Neural Network Model
16%
Captured Image
16%
Flow Condition
16%
Filtration
16%
INIS
image processing
100%
liquids
100%
viscosity
100%
images
44%
neural networks
33%
incidents
22%
applications
11%
values
11%
design
11%
dispersions
11%
errors
11%
variations
11%
dynamics
11%
roots
11%
algorithms
11%
cameras
11%
capture
11%
real time systems
11%
Chemical Engineering
Neural Network
100%
Viscosity Measurement
33%