Open Science Research Excellence
%0 Journal Article
%A Helene Martin and  Solmaz Boroomandi Barati and  Jean-Charles Pinoli and  Stephane Valette and  Yann Gavet
%D 2018 
%J  International Journal of Computer, Electrical, Automation, Control and Information Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 141, 2018
%T Segmentation of Gray Scale Images of Dropwise Condensation on Textured Surfaces
%V 141
%X In the present work we developed an image processing
algorithm to measure water droplets characteristics during dropwise
condensation on pillared surfaces. The main problem in this process is
the similarity between shape and size of water droplets and the pillars.
The developed method divides droplets into four main groups based
on their size and applies the corresponding algorithm to segment each
group. These algorithms generate binary images of droplets based
on both their geometrical and intensity properties. The information
related to droplets evolution during time including mean radius and
drops number per unit area are then extracted from the binary images.
The developed image processing algorithm is verified using manual
detection and applied to two different sets of images corresponding
to two kinds of pillared surfaces.
%P 753 - 761