Entropic image segmentation of sessile drops over patterned acetate

J.F. Gómez-Lopera, J. Martínez-Aroza, M.A. Rodríguez-Valverde, M.A. Cabrerizo-Vílchez and F.J. Montes-Ruíz-Cabello

Mathematics and Computers in Simulation (MATCOM), 2015, vol. 118, issue C, 239-247

Abstract: An entropic segmentation method is presented and applied to the contour detection of water drops over patterned surfaces. Jensen–Shannon divergence is computed from a double sliding window in the image to get a real number matrix, in which a region growing procedure is performed in a similar way to usual watershed. Then a region merging process is achieved, and the optimal configuration is selected to obtain the complete drop contour. Once the drop contour is detected from top-view images, the contact angle might be readily computed from the area enclosed by the contour and the drop volume.

Keywords: Image segmentation; Jensen–Shannon divergence; Region growing and merging; Sessile drop; Contour detection (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:matcom:v:118:y:2015:i:c:p:239-247

DOI: 10.1016/j.matcom.2014.11.007

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