Mohd Ali, Nursabillilah (2013) Performance Comparison between RGB and HSV Color Segmentations for Road Sign Detection. Applied Mechanics and Materials. pp. 550-555. ISSN 1660-9336
![[img]](http://eprints.utem.edu.my/style/images/fileicons/application_pdf.png) |
PDF
1569722483_ICAME_PAPER_1.pdf - Published Version Restricted to Registered users only Download (339kB) |
Abstract
This paper compares the performance of RGB and HSV color segmentations method in road signs detection. The road signs images are taken under various illumination changes, partial occlusion and rotational changes. The proposed algorithms using both RGB and HSV color space are able to detect the 3 standard types of colored images namely Red, Yellow and Blue. The experiment shows that the HSV color algorithm achieved better detection accuracy compared to RGB color space.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Electrical Engineering > Department of Mechatronics Engineering |
| Depositing User: | NURSABILLILAH MOHD ALI |
| Date Deposited: | 31 Jul 2013 08:53 |
| Last Modified: | 28 May 2015 04:00 |
| URI: | http://eprints.utem.edu.my/id/eprint/9018 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |