Recognition the droplets in gray scale images of dropwise condensation on pillared surfaces - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2017

Recognition the droplets in gray scale images of dropwise condensation on pillared surfaces

Résumé

This study deals with developing an image processing algorithm that is able to recognize spherical and ellipsoidal droplets growing on pillared surfaces during heterogonous dropwise condensation. The problem with recognizing droplets on the pillared substrates is that droplets are very similar to the pillars or they cover several pillars at the same time, so characterizing the pillars is very important. On the other hand the droplets are not always perfectly spherical or they are connected and form irregular shapes, in such cases the ability to recognizing and separating connected droplets is another challenging step. The method that is used here consists of three main parts: pillars characterization, droplets categorizing and droplets segmentation. The result of this algorithm will be binarized images that enable to extract the information related to the size and density of droplets needed for studying droplets evolution during time. Also a computer simulation method is proposed to generate ellipsoidal droplets on pillared substrate. The results of this algorithm then are validated by comparing with results from experimental procedure.
Fichier principal
Vignette du fichier
S Boroomandi ICCSEA 2017.pdf (541.13 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01634524 , version 1 (23-11-2017)

Identifiants

Citer

Helene Martin, Solmaz Boroomandi Barati, Jean-Charles Pinoli, Stéphane Valette, Yann Gavet. Recognition the droplets in gray scale images of dropwise condensation on pillared surfaces. 7th International Conference on Computer Science, Engineering & Applications (ICCSEA 2017), Academy & Industry Research Collaboration Center (AIRCC), Sep 2017, Copenhague, Denmark. pp.115 à 126, ⟨10.5121/csit.2017.71109⟩. ⟨hal-01634524⟩
374 Consultations
614 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More