|
|
|
| A PIV Approach Based on Nonlinear Filtering |
| Lu Zong-qing①,Liao Qing-min①,Pei Ji-hong② |
| ①The Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, China; ②College of Information and Engineering, Shenzhen University, Shenzhen 518060, China |
|
|
|
|
Abstract For fluid motion image computation (PIV), a nonlinear filtering based PIV approach was proposed which can obtain reliable motion vector, div and curl fileds. As variational based PIV approaches the new approach is a nonlinear filtering process instead of an energy minimizing process, which can overcome the shortage of correlation based PIV approaches and avoid the restrictions of convexity and differentiability required by classical variational approaches. Experimental results from real particle image sequences demonstrated that the new method can help to suppress the computation noise and increase the reliability of fluid motion characteristic and structural descriptions.
|
|
Received: 16 January 2009
|
|
|
|
Corresponding Authors:
Lu Zong-qing
|
|
|
|
|
|
|
2010, Vol. 32 
