Citation
Mat Nong, Mohd Ali and Mohd Sidek, Roslina and Osman, Rosiah and Sabil, Suzila and Md Yusof, Juraina
(2018)
Real time motorcycle image detection and analysis.
Journal of Solid State Science and Technology, 26 (2).
24 - 32.
ISSN 2162-8777; ESSN: 2162-8769
Abstract
This research investigated image tracking and edge detection for motorcycle in various lighting and weather conditions. The capability in different resolution and threshold level also evaluated. Comparison between hardware and software implementation of edge detection also been made. Develop framework showed great accuracy is segmentation of plate number from motorcycle image in daylight condition compared to rainy daylight and night condition. The aim of this project is to develop framework for motorcycle image detection and recognize for traffic offender. Analysis with histogram level and contrast stretching method showed performance in hardware is improved rather than software.
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Official URL or Download Paper: http://myjms.moe.gov.my/index.php/masshp/article/v...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering Institute of Advanced Technology |
| Publisher: | Electrochemical Society |
| Keywords: | Motorcycle; Image; Edge detection |
| Depositing User: | Ms. Nida Hidayati Ghazali |
| Date Deposited: | 08 May 2020 17:52 |
| Last Modified: | 08 May 2020 17:52 |
| URI: | http://psasir.upm.edu.my/id/eprint/73713 |
| Statistic Details: | View Download Statistic |
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