摘要
本文提出了一种快速的基于改进SCW的道路标志牌字符定位算法。首先采用改进的自适应图像分割方法SCW对输入图像进行分割,然后对所得二值图像进行连通区域分析,获得斑块信息。最后根据一系列判决标准得出道路标志牌上字符的最终位置。实验结果显示该算法具有很强的准确性和鲁棒性。
A fast and robust Approach for the detection of text on road signs based on improved SCW ( sliding concentric windows) is proposed in this paper. The algorithm mainly contains three stages. We first convert the input image to a binary image using improved SCW then we obtain the blob information using CCA (connected component analysis) , and at last we achieve the final text location on road signs by a number of judging criterions. Experimental results demonstrate the great robustness and efficiency of our method.
出处
《中国图象图形学报》
CSCD
北大核心
2007年第10期1869-1872,共4页
Journal of Image and Graphics
关键词
SCW
CCA
字符定位
车辆导航
SCW, CCA, character location, vehicle navigation