PIV Data Processing

Typically, the raw PIV data obtained from the cross-correlation of two images need to be validated and optionally smoothed before statistical values are calculated or various derived quantities are computed. 

The following are various data validation techniques that are commonly used  

Correlation peak-height validation works based on the height of the peaks in the correlation plane. If Pi is the highest peak and P2 is the second highest peak, the most common approach, called the detectability criterion, validates vectors for which P1/P2 k, where k is typically around 1.2 (Keane and Adrian, 1992). 

if the vector does not satisfy the required relations above, it is rejected. 

After validation and optional filtering, the user is ready to calculate derived quantities and statistical values. Following are the connnonly calculated derived quantities from PIV data  

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