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| 基于Vague融合的图像分类方法 | |
| 引用本文： | 虎晓红,钱旭,王培崇,王珂.基于Vague融合的图像分类方法[J].计算机工程,2009,35(11):226-227. |
| 作者姓名： | 虎晓红 钱旭 王培崇 王珂 |
| 作者单位： | 1. 中国矿业大学机电与信息工程学院,北京,100083河南农业大学信息与管理科学学院,郑州,450002 2. 中国矿业大学机电与信息工程学院,北京,100083 3. 首都医科大学生物医学工程学院,北京,100069 |
| 基金项目： | 教育部科研基金重点项目 |
| 摘 要： | 针对图像分类中多分类器之间存在互补和冗余信息的特点，提出一种基于Vague融合的图像分类模型。同时给出支持和反对的证据，运用Vague集的真假隶属函数对图像分类中多分类器的分类结果进行决策融合，使多分类器的分类结果得到优化和综合，从而获得更准确、更稳定的决策分类结果。实验结果表明，分类结果的准确率得到了提高。 |
| 关 键 词： | 信息融合 Vague集 决策融合 隶属函数 |
| 修稿时间： | |
Image Classification Method Based on Vague Fusion |
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| HU Xiao-hong,QIAN Xu,WANG Pei-chong,WANG Ke.Image Classification Method Based on Vague Fusion[J].Computer Engineering,2009,35(11):226-227. | |
| Authors: | HU Xiao-hong QIAN Xu WANG Pei-chong WANG Ke |
| Affiliation: | 1.School of Mechanical Electronic and Information Engineering;China University of Mining and Technology;Beijing 100083;2.School of Information and Management Science;Henan Agricultural University;Zhengzhou 450002;3.School of Biomedical Engineering;Capital Medical University;Beijing 100069 |
| Abstract: | According to complementation and redundancy of the multi-classifiers in image classification,this paper proposes a novel approach to image classification based on Vague set.Vague set for positive and negative evidences is applied to analyze and optimize the decisions obtained by multi-classifiers.Through integrating two sides of multiple classification decisions,the classification is optimized and synthesized,thus the processing and the results are both powerful and stable.Experimental results show that the... |
| Keywords: | information fusion Vague set decision fusion membership function |
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