Abstract
A novel image processing algorithm to measure the interface curvature and the contact angle of sessile drops is presented. The algorithm is based on the analysis of the local intensity gradient, instead of fitting the image edges with curves; this results into a set of convolution masks, tailored to the specific feature that is being sought for (curvature, contact angle). The algorithm was used to analyse the impact of a water droplet onto a hydrophobic substrate (a glass slide coated with a fluoropolymer solution); the proposed algorithm was shown to perform well, even when frames were characterized by very low contrast. Dynamic contact angle measurements were carried out by tracking the three-phase-point position along the fluid---fluid interface without previous substrate detection, using the mirror reflection of the drop on the substrate as a reference. Finally, a generalization of the algorithm can be used as corner detector.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
