| 基于正负模糊规则的相结合的图像分类 |
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| 引用本文： | 吴军,王士同.基于正负模糊规则的相结合的图像分类[J].计算机应用,2011,31(1):243-246. |
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| 作者姓名： | 吴军 王士同 |
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| 作者单位： | 1. 江苏省无锡市江南大学2. 江南大学信息工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60704047),国家自然科学基金重大研究计划资助项目(9082002) |
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| 摘 要： | 由于传统的图像分类只是利用正模糊规则对图像分类，忽略了负模糊规则在图像分类中的作用。据此本文提出用正负模糊规则的相结的方法对图像进行分类，注重将负模糊规则和传统的正模糊分类规则有效结合。实验表明，该方法有较高的准确率，获得了更好的效果。
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| 关 键 词： | 图像分类 正负模糊规则 遥感图像 自然图像 |
| 收稿时间： | 2010-07-19 |
| 修稿时间： | 2010-09-08 |
Images classification based on combination of positive and negative fuzzy rules |
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| WU Jun,WANG Shi-tong.Images classification based on combination of positive and negative fuzzy rules[J].journal of Computer Applications,2011,31(1):243-246. |
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| Authors: | WU Jun WANG Shi-tong |
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| Affiliation: | WU Jun,WANG Shi-tong(School of Digital Media,Jiangnan University,Wuxi Jiangsu 214122,China) |
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| Abstract: | The positive fuzzy rules are often used only for image classification in the traditional image classification system.However,the role of the negative fuzzy rules also is sometimes important in image classification.Accordingly,this paper proposed a new fuzzy rule system which used the combination of positive and negative fuzzy rules to classify images.The authors focused on combining negative fuzzy rules with traditional positive ones.The experimental resutls show that the proposed method here has high accur... |
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| Keywords: | image classification positive and negative fuzzy rule remote sensing image natural image |
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