The use of high-frequency cameras is a fundamental tool in the study of two-phase fluids such as sprays and droplet behaviour. This paper presents the development of a neural network based on different interpolation criteria to classify images, extract contours and define geometric features in the presence of noise.
(2026). Impact of Sparkling Water Droplet: preliminary investigation [abstract]. Retrieved from https://hdl.handle.net/10446/328285 Retrieved from http://dx.doi.org/10.13122/DIPSI2025_9
Impact of Sparkling Water Droplet: preliminary investigation
Araneo, L.;Marengo, M.
2026-01-01
Abstract
The use of high-frequency cameras is a fundamental tool in the study of two-phase fluids such as sprays and droplet behaviour. This paper presents the development of a neural network based on different interpolation criteria to classify images, extract contours and define geometric features in the presence of noise.File allegato/i alla scheda:
| File | Dimensione del file | Formato | |
|---|---|---|---|
|
P9_DIPSI2025_Araneo_etal.pdf
accesso aperto
Versione:
publisher's version - versione editoriale
Licenza:
Creative commons
Dimensione del file
754.5 kB
Formato
Adobe PDF
|
754.5 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
Aisberg ©2008 Servizi bibliotecari, Università degli studi di Bergamo | Terms of use/Condizioni di utilizzo
