An improved cross-correlation method for (digital) particle image velocimetry

2001 ◽  
Vol 17 (4) ◽  
pp. 332-339 ◽  
Author(s):  
Weng Wenguo ◽  
Fan Weicheng ◽  
Liao Guangxuan ◽  
Qin Jun
Keyword(s):  
Particle Image Velocimetry ◽  
Cross Correlation ◽  
Particle Image ◽  
Correlation Method ◽  
Digital Particle Image Velocimetry ◽  
Image Velocimetry

Multi-Cross-Correlation Method in Particle Image Velocimetry

2011 ◽  
Vol 27 (3) ◽  
pp. 365-377
Author(s):  
T.-W. Hsu ◽  
C.-Y. Shin ◽  
S.-H. Ou ◽  
Y.-T. Li
Keyword(s):  
Particle Image Velocimetry ◽  
Cross Correlation ◽  
Particle Image ◽  
Processing System ◽  
Correlation Method ◽  
Seeding Density ◽  
Image Velocimetry ◽  
Accuracy Of Measurements ◽  
Out Of Plane ◽  
Particle Images

ABSTRACTA multi-cross-correlation method (MCCM) was developed in a particle image velocimetry (PIV) auto-processing system to reduce spurious vectors and improve accuracy of measurements. This technique is an improvement based on conventional cross-correlation method (CCM). Four typical neighboring interrogation windows were specified to be overlapped and calculated by MCCM. A high cross-correlation value is obtained in which many particle images match up with their corresponding spatially shifted partners, and small cross-correlation peaks due to interference of noises during experiments are reduced. Several parameters such as out-of-plane motions, particle size, and seeding density are considered for checking both MCCM and conventional PIV algorithms. The examination gives authenticity to the merits of MCCM for avoiding particles loss or mistaken velocity vectors.

Sign in / Sign up

Export Citation Format

Share Document