Algorithm for automatically detecting spurious vectors in PIV data

Jixie Gongcheng Xuebao/Chinese Journal of Mechanical Engineering

Volumn 40, Issue 7, 2004, Pages 89-92

  Ruan, Xiaodong ^a   Wu, Feng ^a   Yang, Huayong ^a   Yamamoto, F ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b UNIVERSITY OF FUKUI   (Japan)

Author keywords

Deleting; PIV; Post processing; Spurious vector

Indexed keywords

ALGORITHMS; AUTOMATION; ROTATIONAL FLOW; VECTORS;

DELAUNEY TESSELLATION TECHNIQUE; PARTICLE IMAGE VELOCIMETRY; POST PROCESSING; SPURIOUS VECTOR;

IMAGE PROCESSING;

EID: 5144226613     PISSN: 05776686     EISSN: None     Source Type: Journal    
DOI: 10.3901/jme.2004.07.089     Document Type: Article

References (6)

1. Sun J H, Yates D, Winterbone D E. Measurement of the flow field in a diesel engine combustion chamber after combustion by cross-correlation of high-speed photographs. Exp Fluids, 1996, 20: 335-345
2. Hartmann J, Kohler J, Stolz W, et al. Evaluation of unsteady flow fields using cross-correlation in image sequences. Exp Fluids, 1996, 20: 210-217
3. Astola J, Haavisto P, Neuvo Y. Vector median filters. Proc. IEEE, 1990, 78: 678-689
4. Westerweel J. Efficient detection of spurious vectors in particle image velocimetry data. Exp Fluids, 1994, 16: 236-247
5. Beak S J, Lee S J. A new two-frame particle tracking algorithm using match probability. Exp Fluids, 1996, 22: 23-32
6. Raffel M, Willert C E, Kompenhens J. Particle Image Velocimetry. Berlin: Springer, 1998