Image processing methods for particle image velocimetry (PIV) are reviewed. The discussion focuses on iterative methods aimed at enhancing the precision and spatial resolution of numerical interrogation schemes.

Me gusta

Guardar

Me gusta

Guardar

Cite This Study

Fulvio Scarano (Fri,) studied this question.

synapsesocial.com/papers/69d7bfd105ee2ba81dbedabf https://doi.org/https://doi.org/10.1088/0957-0233/13/1/201

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Theoretical analysis of the measurement precision in particle image velocimetry2000 · 393 citations
2Direct numerical simulation of turbulent flow over a backward-facing step1997 · 1,094 citations
3A Kalman tracker for super-resolution PIV2000 · 76 citations
4A novel algorithm for particle tracking velocimetry using the velocity gradient tensor2000 · 73 citations
5Identification of true particle image displacement based on false correlation symmetry at poor signal peak detectability2000 · 7 citations

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Theoretical analysis of the measurement precision in particle image velocimetry2000 · 393 citations
2Direct numerical simulation of turbulent flow over a backward-facing step1997 · 1,094 citations
3A Kalman tracker for super-resolution PIV2000 · 76 citations
4A novel algorithm for particle tracking velocimetry using the velocity gradient tensor2000 · 73 citations
5Identification of true particle image displacement based on false correlation symmetry at poor signal peak detectability2000 · 7 citations