Hybrid Algorithm for Analyzing Velocity Fields from Sequence Images

EasyChair Preprint 7269, version 2

Abstract

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

@booklet{EasyChair:7269,
  author    = {Tran The Hung},
  title     = {Hybrid Algorithm for Analyzing Velocity Fields from Sequence Images},
  howpublished = {EasyChair Preprint 7269},
  year      = {EasyChair, 2022}}