| 基于D-S证据理论的信息融合图像识别 |
| |
| 引用本文： | 张逵,朱大奇.基于D-S证据理论的信息融合图像识别[J].上海海事大学学报,2012,33(3):81-86. |
| |
| 作者姓名： | 张逵 朱大奇 |
| |
| 作者单位： | 上海海事大学水下机器人与智能系统实验室 |
| |
| 基金项目： | 交通运输部基础研究项目（2011329810440）；上海海事大学校基金（20110010） |
| |
| 摘 要： | 针对图像识别的不确定问题,提出一种基于Dempster-Shafer(D-S)证据理论的信息融合图像识别算法.用灰度-相位共生矩阵和灰度-梯度共生矩阵提取图像的纹理特征参数,对纹理特征参数进行转化得到待识别图像在其他类图像上的信度函数分配;利用D-S联合规则得到融合后的信度函数分配,从而准确识别图像;通过单一矩阵图像识别结果与融合识别结果比较,说明D-S数据融合在识别图像方面的优越性.
|
| 关 键 词： | 信息融合 图像识别 纹理特征提取 灰度共生矩阵 灰度-梯度共生矩阵 D-S证据理论 信度函数 |
| 收稿时间： | 9/13/2011 4:10:43 PM |
| 修稿时间： | 5/29/2012 4:38:04 PM |
Image information fusion recognition based on D-S evidence theory |
| |
| zhangkui and.Image information fusion recognition based on D-S evidence theory[J].Journal of Shanghai Maritime University,2012,33(3):81-86. |
| |
| Authors: | zhangkui and |
| |
| Institution: | Laboratory of Underwater Vehicles and Intelligent Systems, Shanghai Maritime University |
| |
| Abstract: | In view of the uncertainty of image recognition, an information fusion image recognition algorithm is presented based on the Dempster Shafer (D-S) evidence theory. The image texture feature parameters are extracted by gray level phase co occurrence matrix and gray level gradient co occurrence matrix respectively. The texture feature parameters are converted to obtain the belief function assignment of the image to be recognized on the other types of image. The fusion belief function assignment can be achieved by using
D S joint rules to identify the image accurately. The superiority of the D-S data fusion in image recognition is illustrated by comparison of the single matrix image recognition with fusion recognition results. |
| |
| Keywords: | information fusion image recognition texture feature extraction gray level co occurrence matrix gray level gradient co occurrence matrix D-S evidence theory belief |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《上海海事大学学报》浏览原始摘要信息 |
| 点击此处可从《上海海事大学学报》下载免费的PDF全文 |
