Title :
Study on particle image velocimetry technique in the surface flow field of river model
Author :
Yu Heng ; Lv Qiongshuai
Author_Institution :
Comput. Sci. & Technol. Coll, Pingdingshan Univ., Pingdingshan, China
Abstract :
This paper was written to measure out the velocity vectors of the surface flow field rapidly and effectively. According to the distribution of the tracer particle used in the surface flow field of the model, we proposed an improved selection method of adaptive analysis window and the cross-correlation calculation based on Hartley transform, to instead of the traditional fixed window and Fourier transform method. Experimental results show that the improved method has low error and high computing efficiency, and could meet the real time measurement requirements of the surface flow field of river model.
Keywords :
Fourier transforms; Hartley transforms; flow; hydrological techniques; rivers; velocimeters; Fourier transform method; Hartley transform; adaptive analysis window improved selection method; cross-correlation calculation; high computing efficiency; improved method; low error; model surface flow field velocity vector; particle image velocimetry technique; real time measurement requirement; river model surface flow field; tracer particle distribution; traditional fixed window; Adaptive optics; Algorithm design and analysis; Computational modeling; Optical imaging; Transforms; Vectors; Hartley transform; PIV; adaptive analysis window; river model;
Conference_Titel :
Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
Conference_Location :
Shengyang
Print_ISBN :
978-1-4799-2564-3
DOI :
10.1109/MEC.2013.6885200