| 基于逆向学习改进算法的汽车边缘提取 |
| |
| 引用本文： | 丁海,李永宁,周群彪,陈正茂.基于逆向学习改进算法的汽车边缘提取[J].四川大学学报(自然科学版),2004,41(1):61-65. |
| |
| 作者姓名： | 丁海 李永宁 周群彪 陈正茂 |
| |
| 作者单位： | 四川大学计算机学院,成都,610064 |
| |
| 摘 要： | 根据智能交通系统中车型识别的特点提出了使用逆向学习改进算法提取汽车边缘的新方法，这种方法的优点在于可以充分利用车型识别系统的特点和汽车历史轨迹的先验知识得到较好的提取精度，并有效地解决了车型识别中，因使用黑白图象而使基于色彩的汽车边缘提取失效的问题。
|
| 关 键 词： | 边缘提取 逆向学习算法 贝叶斯决策 边缘提取算子 |
| 文章编号： | 0490-6756(2004)01-0061-05 |
The Vehicle Edge Extraction Based on the Backward Learning |
| |
| DING Hai,LI Yong-ning,ZHOU Qun-biao,CHEN Zheng-mao.The Vehicle Edge Extraction Based on the Backward Learning[J].Journal of Sichuan University (Natural Science Edition),2004,41(1):61-65. |
| |
| Authors: | DING Hai LI Yong-ning ZHOU Qun-biao CHEN Zheng-mao |
| |
| Abstract: | The vehicle recognition is based on the vehicle edge extraction. Authors give a improved method to solve the vehicle shape extraction. This method utilize the knowledge over history track of vehicle and reduce the problem of disturb. The described techniques have been applied successfully in vehicle edge extraction in the authors' laboratory. |
| |
| Keywords: | edge extraction backward learning bayes differentiation arithmetic operators |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
