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

M. Khodadadzadeh, Omid Sarrafzade, H. Ghassemian
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引用次数: 5

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.
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基于颜色和形态信息融合的快速交通标志检测与分类系统
提出了一种新的交通标志自动分类方法。该方法基于颜色和形态信息的融合。该战略包括三个步骤。首先,利用HSI色彩空间中的色彩信息对输入图像进行分割,并找到具有红色像素的兴趣区域(roi)。然后,通过对彩色图像各波段进行开闭运算,建立形态轮廓;然后,基于形态轮廓和原始彩色图像进行统计特征提取。最后,利用基于一对一的支持向量机对特征向量进行分类。其他方法。在包含四类红色标志的国内数据库上对该方法进行了测试。实验结果表明,在相当短的处理时间内,命中率达到97%左右。
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