Effect of linear image processing on the depth of correlation in micro PIV
| Autor: | Boris Stoeber, Benjamin Mustin |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Fluid Flow and Transfer Processes
Background subtraction business.industry Computer science Computational Mechanics General Physics and Astronomy Image processing Function (mathematics) Velocimetry Image (mathematics) Weighting Correlation Optics Mechanics of Materials Particle tracking velocimetry Computer vision Artificial intelligence business |
| Zdroj: | Experiments in Fluids. 55 |
| ISSN: | 1432-1114 0723-4864 |
| DOI: | 10.1007/s00348-014-1817-2 |
| Popis: | This work investigates the effect of selected linear image processing methods on the depth of correlation (DoC) in micro particle image velocimetry using a single camera. In practice, band-pass and high-pass filters (background subtraction) are commonly applied to micro particle image velocimetry images. This work provides analytical models describing the effect of the parameters of low-, high-, and band-pass filters on the DoC and verifies the models by experiments. Furthermore, we propose a scheme that allows computing the weighting function and DoC for more complicated cases numerically. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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