摘要
为了提高交通标志的识别速度,提出了一种样本类中间值结合均值的的2DPCA。该方法采用每类训练样本中间值的均值代替训练样本的平均值,以此重建散布矩阵从而得到最优投影矩阵。在已经建立的两个交通标志图像集上用该方法进行了实验,结果表明新方法识别速度得到了大幅提升并且取得了较高的识别率。
In order to improve the recognition speed of the traffic signs,a new two dimension principal compoent analysis method based on class median combined with the mean is propose.The method uses the values of the mean of each class median instead of the average value of the training samples,and then rebuild the scatter matrix in order to get the optimal projection matrix.Two traffic signs already established set of images using this method.
出处
《工业控制计算机》
2012年第10期78-79,109,共3页
Industrial Control Computer
基金
湖南省教育厅基金(11C0041)
