DocumentCode :
260059
Title :
Non-intrusive Water Surface Velocity Measurement Using Spatial Cross Correlation Technique
Author :
Sharma, Nitika ; Naik, A.A. ; Balan, M. Selva
Author_Institution :
Electron. & Telecommun., Maharashtra Inst. of Technol., Pune, India
fYear :
2014
fDate :
22-24 Dec. 2014
Firstpage :
356
Lastpage :
361
Abstract :
The limitation with the method of calculating surface water velocity is the direct contact of the velocity measurement tool to the flowing water which results in the mechanical wear and high maintenance cost. This paper describes the flow visualization and surface water velocity measurement technique using the non-intrusive method. This system gives the instantaneous results and is reliable, flexible method which can be applied successfully in many engineering applications. It is a distension of a video imaging technique to measure the velocity using the pattern matching method. The system was indigenously developed with the help of CMOS camera and paper particles which were used as the tracer particles. If video is taken from far distance then ortho-rectification is applied to calculate accurate results. Video was recorded at Bombay airport model, CWPRS, Pune under different environmental conditions. The code is written in MATLAB which includes segmentation, pattern matching and post processing steps.
Keywords :
CMOS image sensors; computer vision; computerised instrumentation; data visualisation; flow measurement; velocity measurement; video signal processing; Bombay airport model; CMOS camera; CWPRS; MATLAB; Pune; environmental conditions; flow visualization; flowing water; maintenance cost; mechanical wear; nonintrusive water surface velocity measurement; orthorectification; paper particles; pattern matching method; post processing steps; spatial cross correlation technique; tracer particles; velocity measurement tool; video imaging technique; Correlation; Lighting; Mathematical model; Pattern matching; Surface treatment; Vectors; Velocity measurement; CMOS Image Sensor; Cross-correlation; Ortho-rectification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology (ICIT), 2014 International Conference on
Conference_Location :
Bhubaneswar
Print_ISBN :
978-1-4799-8083-3
Type :
conf
DOI :
10.1109/ICIT.2014.52
Filename :
7033350
Link To Document :
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