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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Implementation of NTSS Algorithm to three dimensional Particle Image Velocimetry for fluid flow using GPU
Author Name:
Anshi Bansal, Ashok Kumar Shrivastava,
Abstract:
Abstract Particle Image Velocimetry (PIV) is a non-invasive optical technique used to measure and visualize the whole-area velocity map of a real flow. This flow is seeded with particles of similar properties like viscosity, density of fluid etc. There are many PIV algorithm reported and their use depends upon the problem to be solved. In this paper, a PIV algorithm viz. the New Three Step Search (NTSS) Algorithm which is the improved version of Three Step Search algorithm has been chosen. NTSS is developed in the range of image compression, is to be presented for the quick vector following. There are two PIV images, over which we are applying NTSS algorithm using cross correlation method. Furthermore, NTSS is implemented as serial and parallel computation. There are different software that implement the PIV viz. MatPIV, OpenPIV, OpenCV and GeoPIV et al. In this project open source OpenPIV software has been chosen as implementation. Keywords: PIV, PyCUDA, OpenPIV, CUDA.
Cite this article:
Anshi Bansal, Ashok Kumar Shrivastava, , " Implementation of NTSS Algorithm to three dimensional Particle Image Velocimetry for fluid flow using GPU" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 005-007 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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