Using the Hough Transform in the Automatization of Contact Angle Calculation(Conference Paper)
- aUniversity of Novi Sad, Faculty of Technical Sciences, Department of Power, Electronic and Telecommunication Engineering, Novi Sad, Serbia
- bUniversity of Novi Sad, Faculty of Medicine, Department of Dental Medicine, Novi Sad, Serbia
Abstract
In this paper an algorithm for automatic contact angle calculation is presented. This algorithm came forth because of the need for a procedure which would minimize the variability that comes with the previously mentioned calculations. With the use of the Hough Transform this has been achieved. In the process of edge extraction, Sobel operators in combination with mean thresholding and morphological operations were implemented. Afterwards, Hough transforms for line and circle were used. With the use of analytic geometry on these features, contact angle was calculated. The described algorithm is compared to the ImageJ plugin for contact angle measurement. © 2021 IEEE.
Indexed keywords
| Engineering controlled terms: | Contact angleFeature extractionMathematical morphology |
|---|---|
| Engineering uncontrolled terms | Analytic geometriesContact-angle measurementsEdge extractionImage-analysisMorphological operationsPlug-insSobel operatorThresholding |
| Engineering main heading: | Hough transforms |
Funding details
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Horizon 2020 Framework Programme See opportunities by H2020 | 951747 | H2020 |
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1
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 951747.
- ISBN: 978-166542584-1
- Source Type: Conference Proceeding
- Original language: English
- DOI: 10.1109/TELFOR52709.2021.9653429
- Document Type: Conference Paper
- Publisher: Institute of Electrical and Electronics Engineers Inc.
Milic, L.; University of Novi Sad, Faculty of Technical Sciences, Department of Power, Electronic and Telecommunication Engineering, Novi Sad, Serbia;
© Copyright 2022 Elsevier B.V., All rights reserved.
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