| 基于模糊集隶属度特征和贴近度的徽标识别 |
| |
| 引用本文： | 王刚,靳彦青,刘立柱.基于模糊集隶属度特征和贴近度的徽标识别[J].计算机科学,2009,36(1):184-185. |
| |
| 作者姓名： | 王刚 靳彦青 刘立柱 |
| |
| 作者单位： | 解放军信息工程大学信息工程学院,郑州,450002 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划) |
| |
| 摘 要： | 模糊信息理论是一种基于模糊集理论的信息科学,模糊集理论在模式识别中表现出很好的性能,两者相结合形成了模糊模式识别.针对图像智能处理中对徽标识别的应用需求,提出了一种基于模糊集隶属度特征和贴近度的徽标识别算法.该算法通过把徽标网格特征映射转化成模糊集的隶属度特征并根据贴近度进行识别,显著增强了对质量不佳图像的适应性和抗干扰性,有效提高了徽标识别系统的柔性处理能力.实验表明,使用该徽标识别算法的识别率能达到94.5%.
|
| 关 键 词： | 模糊集 隶属度特征 贴近度 徽标识别 |
| 收稿时间： | 2008/3/17 0:00:00 |
Logo Recognition Based on Membership Degree and Clossness Degree of Fuzzy Sets |
| |
| WANG Gang,JIN Yan-qing,LIU Li-zhu.Logo Recognition Based on Membership Degree and Clossness Degree of Fuzzy Sets[J].Computer Science,2009,36(1):184-185. |
| |
| Authors: | WANG Gang JIN Yan-qing LIU Li-zhu |
| |
| Affiliation: | Institute of Information Engineering;PLA Information Engineering University;Zhengzhou 450002;China |
| |
| Abstract: | Fuzzy information theory which is based on fuzzy theory is a departure from information science. Higher performance could be obtained in pattern recognition with fuzzy sets theory. People combined fuzzy sets theory with pattern recognition and established |
| |
| Keywords: | Fuzzy sets Membership degree Clossness degree Logo recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
点击此处可从《计算机科学》下载全文 |
