Motorcycle image application on MATLAB Simulink and FPGA platform

Citation

Mat Nong, Mohd Ali and Md Yusof, Juraina and Sabil, Suzila and Mohd Sidek, Roslina and Hasan, Intan Helina and Osman, Rosiah (2019) Motorcycle image application on MATLAB Simulink and FPGA platform. In: 2019 IEEE Regional Symposium on Micro and Nanoelectronics (RSM), 21-23 Aug. 2019, Putrajaya, Malaysia. (pp. 156-159).

Abstract

This research investigated image tracking and edge detection for motorcycle in various lighting and weather conditions. The capabilities in different resolutions and thresholds level also evaluated. Comparison between hardware and software implementation of edge detection also been made. Developed framework showed great accuracy in segmentation of plate number from motorcycle image in daylight condition compared to rainy daylight and night condition.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering Institute of Advanced Technology
DOI Number:	https://doi.org/10.1109/RSM46715.2019.8943514
Publisher:	IEEE
Keywords:	Image tracking; Edge detection; Motorcycle; Plate number; Segmentation
Depositing User:	Nabilah Mustapa
Date Deposited:	03 Jun 2020 06:33
Last Modified:	03 Jun 2020 06:33
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/RSM46715.2019.8943514
URI:	http://psasir.upm.edu.my/id/eprint/78109
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