欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
通过变换RGB空间颜色值并分割图像,利用标记图为特征的形状分类器检测城市环境中的交通标志.为了提高分类准确度,用两种模型表示方法分类交通标志：1）结合二元树复小波变换和二维独立分量分析提取特征,送入最近邻分类器中分类交通标志;2）提取交通标志的内部图形,利用模板匹配进行分类.最后,将两种分类结果融合输出.实验结果表明,所提出算法的整体识别率超过91%,平均处理帧率达到6.6帧/s,系统能够鲁棒、有效和实时地识别交通标志.
英文摘要：
@@@@The image segmentation based on transforming RGB color space and the shape classifier based on signature feature are used to detect traffic signs in urban scenes. For improving recognition accuracy, two modal representations are presented to classify the traffic sign. 1) The feature of traffic sign is extracted by dual-tree complex wavelet transform(DT-CWT) and 2D independent component analysis(2DICA), then sent to the nearest neighbor classifier to classify traffic sign. 2) The template matching based on intra pictograms of traffic sign is applied to recognition. The recognition results are fused by some decision rules. Experimental results show that, the overall recognition rate of the proposed algorithm is more than 91% and the average frame rate is up to 6.6fps, which indicates that the system is robust, effective and accurate to classify traffic signs.
同期刊论文项目
同项目期刊论文
Incorporating PLS model information into particle swarm optimization for descriptor selection in QSA
Locating multiple optimal solutions of nonlinear equation systems based on multiobjective optimizati
MOMMOP: Multiobjective optimization for locating multiple optimal solutions of multimodal optimizati
A spatial orthogonal allocation and heterogeneous cultural hybrid algorithm for multi-robot explorat
Vision-based long-distance lane perception and front vehicle location for full autonomous vehicles o
A regularity model-based multiobjective estimation of distribution algorithm with reducing redundant
期刊信息
位置：