Biolè, Davide and Bertola, Volfango ORCID: 0000-0001-5357-6191
(2020)
Measuring Fluid Interfaces, Corners and Angles from High-speed Digital Images of Impacting Drops.
Journal of Flow Visualization and Image Processing, 28 (1).
pp. 1-19.
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Abstract
Modern high-speed digital cameras enable the investigation of fluid flows with unprecedented resolution both in space and in time. A remarkable example is given by the study of drop impact and dynamic wetting phenomena, which occur on time scales of few milliseconds and exhibit features, such as the contact angle, which are often treated as geometric singularities. Whilst a good resolution of the camera sensor and a high-quality optics are obvious prerequisites to obtain accurate measurements, the extraction of quantitative information from digital images always requires some kind of processing algorithm. In particular, the accurate measurement of the position and velocity of fluid interfaces, and that of contact angles, require the identification of image features such as contours, edges and corners, which represents a non-trivial problem of digital image processing with fundamental applications in machine vision systems. This work illustrates systematic analytical procedures to identify fluid interfaces, corners and angles in high-speed digital images of fluid flows, with focus on their application to the study of drop impact and dynamic wetting phenomena.
Item Type: | Article |
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Uncontrolled Keywords: | drop impact, contact line, contact angle, image processing |
Depositing User: | Symplectic Admin |
Date Deposited: | 11 Nov 2020 14:57 |
Last Modified: | 18 Jan 2023 23:37 |
DOI: | 10.1615/JFlowVisImageProc.2020032697 |
Related URLs: | |
URI: | https://livrepository.liverpool.ac.uk/id/eprint/3097052 |
Available Versions of this Item
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MEASURING FLUID INTERFACES, CORNERS AND ANGLES FROM HIGH-SPEED DIGITAL IMAGES OF IMPACTING DROPS. (deposited 10 Aug 2020 07:22)
- Measuring Fluid Interfaces, Corners and Angles from High-speed Digital Images of Impacting Drops. (deposited 11 Nov 2020 14:57) [Currently Displayed]