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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chourasia, Jitendra N. Bajaj, Preeti |
| Copyright Year | 2010 |
| Description | Author affiliation: Electronics Engineering Department, G. H. Raisoni College of Engineering, Nagpur, India (Bajaj, Preeti) || G. H. Raisoni College of Engineering, Nagpur, India (Chourasia, Jitendra N.) |
| Abstract | Traffic signs detection and classification in a complex road environment are still a challenging problem. This paper proposes a novel algorithm for traffic sign detection and classification using centroid matching. The images captured by a digital camera were used as input. Images were segmented into Red, White, Blue and Yellow colors using YCbCr color space. Morphological and Region properties were used to determine the centroid of all labels in each color plane. Centroid matching technique was used to detect red-white, red-yellow, red-blue and blue-white group traffic signs. The detected signs were cropped by considering the maximum distance of boundary pixels from centroid. These cropped signs were then applied to identify the shape of the image. The proposed algorithm divides traffic sign into four groups using colors and then into subgroups using shapes. Results show the developed algorithm exhibits reasonably good accuracy around 91% when tested on several outdoor images for traffic sign detection. |
| Starting Page | 909 |
| Ending Page | 913 |
| File Size | 600923 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424468898 |
| e-ISBN | 9781424468904 |
| DOI | 10.1109/TENCON.2010.5686552 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-11-21 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image color analysis Classification algorithms Shape Roads Image segmentation Real time systems Artificial neural networks Shape classification Centroid YCbCr Color space Color classification |
| Content Type | Text |
| Resource Type | Article |
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