Characterization of critical roughness indicators by digital image processing to predict contact angles on hydrophobic surfaces

This study innovatively applies digital imaging techniques to quantify the irregular nanoscale roughness of the surfaces of plasma-etched, hydrophobic polymer films. The main objective is to verify meaningful roughness indicators that predict the surface wettability by quantifying the surface nanost...

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Veröffentlicht in:	Materials chemistry and physics 2022-06, Vol.285, p.125858, Article 125858
Hauptverfasser:	Cho, Yoonkyung, Kim, Jooyoun, Park, Chung Hee
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Aspect ratio Contact angle Correlation Digital imaging Fractal geometry Fractal models Fractals Hydrophobicity Image processing Image texture Imaging techniques Indicators Irregular roughness evaluation Plasma-etching Polymer films Prediction models Process parameters Regression model Regression models Roughness Spatial data Spatial distribution Texture Two dimensional analysis Wettability Wetting
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