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Abstract A multi feature fusion based circular traffic sign detection algorithm is proposed. Firstly, color segmentation and achromatic decomposition are used to extract area containing circular traffic signs based on color feature of circular traffic sign, and thus most of the background area is eliminated. Then, edge detection is applied, and the output edges are stored by chain code. Features, including length of contour circularity and aspect ratio are used to further eliminate background area. Finally, according to the shape feature of circular traffic sign, nonlinear least squares method is employed to detect the exact traffic signs. Effectiveness of the algorithm is demonstrated preliminarily on real images captured under various weather and illumination conditions.
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