Abstract
A novel approach is introduced that allows the elimination of undesired laser light reflections from particle image velocimetry (PIV) images. The approach relies upon anisotropic diffusion of the light intensity, which is used to generate a background image to be subtracted from the original image. The intensity is diffused only along the edges and not across the edges, thus allowing one to preserve, in the background image, the shape of boundaries as laser light reflections on solid surfaces. Due to its ability to produce a background image from a single snapshot, as opposed to most methods that make use of intensity information in time, the technique is particularly suitable for elimination of reflections in PIV images of unsteady models, such as transiting objects, propellers, flapping and pitching wings. The technique is assessed on an experimental test case which considers the flow in front of a propeller, where the laser light reflections on the model's surface preclude accurate determination of the flow velocity. Comparison of the anisotropic diffusion approach with conventional techniques for suppression of light reflections shows the advantages of the former method, especially when reflections need to be removed from individual images.
Original language | English |
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Article number | 035204 |
Number of pages | 15 |
Journal | Measurement Science and Technology |
Volume | 30 |
Issue number | 3 |
DOIs | |
Publication status | Published - Mar 2019 |
Keywords
- particle image velocimetry
- image pre-processing
- anisotropic diffusion
- background removal
- unsteady light reflections
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Dive into the research topics of 'Elimination of unsteady background reflections in PIV images by anisotropic diffusion'. Together they form a unique fingerprint.Datasets
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MATLAB scripts created during the work on "Elimination of unsteady background reflections in PIV images by anisotropic diffusion"
Adatrao, S. (Creator) & Sciacchitano, A. (Creator), TU Delft - 4TU.ResearchData, 10 Jan 2019
DOI: 10.4121/UUID:9A6639F7-4ADE-40A4-915C-FED1414B1251
Dataset/Software: Dataset
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Figures created during the work on "Elimination of unsteady background reflections in PIV images by anisotropic diffusion"
Adatrao, S. (Creator) & Sciacchitano, A. (Creator), TU Delft - 4TU.ResearchData, 10 Jan 2019
DOI: 10.4121/UUID:24193F84-43F7-423C-9875-9A9D2292BCC1
Dataset/Software: Dataset
Prizes
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Measurement Science and Technology Outstanding Paper Award 2019
Adatrao, Sagar (Recipient) & Sciacchitano, A. (Recipient), 17 Feb 2019
Prize: Prize (including medals and awards)