moving_mask_piv#

This script performs PIV on the flow field in a moving droplet. In short, the job is done in 3 steps:

  1. determine droplet trajectory

  2. generate cropped images

  3. perform normal PIV on cropped images

For more information, see my note here.

Syntax

python moving_mask_piv.py image_folder save_folder winsize overlap dt mask x0 y0 maskw maskh

  • image_folder: folder containing tif images

  • save_folder: folder to save .csv PIV data

  • winsize, overlap, dt: PIV settings

  • mask: dir of mask image (tif)

  • x0, y0, maskw, maskh: initial mask information, for computing the offset of the trajectory. Can be read from positions.csv file.

Test

python moving_mask_piv.py test_images\moving_mask_piv

aw test_imagesmoving_mask_pivpiv_result 20 10 0.02 test_imagesmoving_mask_pivmask.tif 178 161 174 174

Edit

  • Mar 03, 2022 – Initial commit.

  • Jan 05, 2023 – Adapt myimagelib import style.

  • Feb 08, 2023 – Rewrite in function wrapper form, to make autodoc work properly. (autodoc import the script and execute it, so anything outside if __name__=="__main__" will be executed, causing problems)