Articles

Performing Canny Edge Detection Using NI LabVIEW Software Environment

Published:
December 30, 2021
Authors
View
Keywords
License

Copyright (c) 2021 by the authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How To Cite
Selected Style: APA
Geresi, Z. T., Adila Afghan, S., & Szemes, P. T. (2021). Performing Canny Edge Detection Using NI LabVIEW Software Environment. Recent Innovations in Mechatronics, 8(1), 1-6. https://doi.org/10.17667/riim.2021.1/5.
Received 2021-08-31
Accepted 2021-10-18
Published 2021-12-30
Abstract

Performing image acquisition and processing can require a high amount of computational resource. In this article, I am discussing the application of Canny Edge Detection algorithm to a live webcam image real-time using NI’s software environment.

References
  1. J. Canny, "A Computational Approach to Edge Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. VIII., no. 6., pp. 679-698, 1986.
  2. D. Csetverikov, Digitális képelemzés alapvető algoritmusai, 2015.
  3. C. K. Somogyi, Féligárnyékos karakterek megtalálása, Budapest: Eötvös Lóránd Tudományegyetem, 2019.
  4. P. S. V., "Continuous Image Acquisition and Edge Detection Using Morphological Filters and Classical Edge Detection Algorithms in Labview," International Journal of Engineering Research & Technology (IJERT), vol. VI., no. 2278-0181, pp. 242-245, 2017.
  5. Z. T. Geresi, DrawBOT Demo fejlesztése NI myRIO rendszerrel, Debrecen: Debreceni Egyetem, Műszaki Kar, 2019.
  6. J.-L. Aufranc, "NI myRIO is an Education Platform Powered by Xilinx Zynq-Z7010," CNX Sofware, 6 August 2013. [Online]. Available: https://www.cnx-software.com/2013/08/06/ni-myrio-is-an-education-platform-powered-by-xilinx-zynq-z7010/. [Accessed 19 August 2021].
  7. NI.com, Artist, myRIO Student Embedded Device. [Art]. National Instruments, 2016.
  8. I. National, User Guide and Specifications NI myRIO-1900, 2016.
Database Logos