A fast traffic sign detection and classification system based on fusion of colour and morphological information

Abstract

A new method for automatic classification of traffic signs is proposed in this paper. The proposed method is based on the fusion of colour and morphological information. The strategy consists of three steps. First, colour information in HSI colour space is used to segment the input image and finding the region of interests (ROIs) with red pixels. Then, morphological profile is building by employing opening and closing operators on each band of colour image. Next, statistical feature extraction is performed based on both morphological profile and original colour image. Finally, the feature vector is classified by support vector machines based on one-vs.-rest method. The proposed method was tested on domestic database including four classes of red signs. Experimental results show the hit-rate of about 97% in considerably low process time.