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Hybrid Algorithm for Analyzing Velocity Fields from Sequence Images

EasyChair Preprint no. 7269, version 2

Versions: 12history
7 pagesDate: January 20, 2022


In this study, a hybrid algorithm was developed for analyzing velocity fields
from sequence images taken during particle image velocimetry (PIV) process. The
algorithm was used cross-correlation method to obtain initial results for optical-flow
processing. Optical-flow was applied to obtain refined results and the resolution of
the image reached to unit of pixel. The hybrid algorithm was then applied for
systematic images generated by in-house code. The results showed that the algorithm
could overcome disadvantage of cross-correlation and optical-flow methods, which
indicated by high resoultion and high accurate velocity fields.

Keyphrases: cross-correlation algorithm, Lamb-Oseen vortex, optical flow, PIV

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Tran The Hung},
  title = {Hybrid Algorithm for Analyzing Velocity Fields from Sequence Images},
  howpublished = {EasyChair Preprint no. 7269},

  year = {EasyChair, 2022}}
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