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| 最大熵原理在非结构化道路图像识别中的应用 | |
| 引用本文： | 凌波 吴婧 叶秀清 顾伟康. 最大熵原理在非结构化道路图像识别中的应用[J]. 电路与系统学报, 2005, 10(4): 78-81,24 |
| 作者姓名： | 凌波 吴婧 叶秀清 顾伟康 |
| 作者单位： | 浙江大学信息与通信工程研究所,浙江杭州310027 |
| 摘 要： | 根据非结构化道路环境的特点，结合最大熵理论在图像处理中的运用，提出了一种基于最大熵理论的非结构化道路图像识别的算法。对于以往划分道路时，阴影区域和道路与非路交界区域容易出现分类错误的现象，通过两次最大熵分类，把这些区域重新划分，最终将道路与周围的环境区分开来。同时满足实时性的要求。 |
| 关 键 词： | 非结构化道路 最大熵 归一化彩色分量 图像识别 |
| 文章编号： | 1007-0249（2005）04-0078-04 |
| 收稿时间： | 2004-06-14 |
| 修稿时间： | 2004-08-28 |
Image recognition-based maximum entropy on unstructured road |
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| Ling Bo;Wu Jing;Xie XiuQing;Gu WeiKang. Image recognition-based maximum entropy on unstructured road[J]. Journal of Circuits and Systems, 2005, 10(4): 78-81,24 | |
| Authors: | Ling Bo Wu Jing Xie XiuQing Gu WeiKang |
| Abstract: | Combining the features of unstructured road and the maximum entropy theory used in image processing, an algorithm based on the maximum entropy theory is proposed to classify the unstructured road. In the former algorithms, it is difficult to distinguish shadows from the unstructured road, and there are always some mistakes at the boundary of the road and surroundings. So by using maximum entropy classification twice and combining these regions, roads and surroundings can be recognized successfully. Meanwhile, it satisfies the real-time demand. |
| Keywords: | unstructured road maximum entropy normalized color |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |