Skip to main content

Table 1 Performance evaluation of complete PIV analyses

From: QuickPIV: Efficient 3D particle image velocimetry software applied to quantifying cellular migration during embryogenesis

 

C++

Python

quickPIV

2D

63 ms

160.81 ms

50.42 ms

3D

-

59.72 s

18.09 s

  1. 2D analyses were performed on a pair of images of size 512\(\times\)512 pixel, with the following PIV parameters: FFT cross-correlation, interrogation size of 32 pixels, no search margin, overlap of 16 pixels, no multi-pass, 3-point Gaussian subpixel approximation and peak-to-peak signal-to-noise algorithm. 3D analyses were performed on volumes with dimensions 512\(\times\)512\(\times\)123 pixels, and the following PIV parameters: FFT cross-correlation, interrogation size of (49, 49, 11), no search margin, overlap of (14, 14, 3), no multi-pass, 3-point Gaussian sub-voxel approximation and peak-to-peak signal-to-noise algorithm. The reported measurement are the minimum execution time from 1000 and 100 repeats, for the 2D and 3D analysis respectively