Research on Traffic Sign Detection Algorithm
| Autor: | Chen Jun Xia, Mei Hua Xu, Yi Da Liu |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Matching (graph theory)
Computer science Machine vision business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering k-means clustering Scale-invariant feature transform Image (mathematics) RGB color model Computer vision Artificial intelligence Cluster analysis business Algorithm |
| Zdroj: | Advanced Materials Research. :3304-3308 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.945-949.3304 |
| Popis: | As an important part of Advanced Driver Assistance System (ADAS), the traffic sign detection has been paid more and more attention. This paper studied and implemented a valid algorithm of traffic sign detection. Using K-means clustering algorithm to complete the image separation and extraction of prohibition signs from the RGB color image, and then matching them with templates to realize the detection of traffic signs by SIFT algorithm. Series of experiments for traffic sign detection have been carried out to prove the validity and correctness of the algorithm on the basis of the road images in front of the vehicle collected by CCD camera. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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