| New Image Recognition Method Based on Rough-Sets and Fuzzy Theory |
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| 作者姓名： | 张艳 李凤霞 战守义 |
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| 作者单位： | DepartmentofComputerScienceandEngineering,SchoolofInformationScienceandTechnology,BeijingInstituteofTechnology,Beijing100081,China |
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| 摘 要： | A new image recognition method based on fuzzy-rough sets theory is proposed, and its implementation discussed. The performance of this method as applied to ferrography image recognition is evaluated. It is shown that the new method gives better results than fuzzy or rough-sets method when used alone.
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| 关 键 词： | 模糊理论 粗糙集 图像识别 模式识别 知识发现 |
| 收稿时间： | 9/2/2002 12:00:00 AM |
New Image Recognition Method Based on Rough-Sets and Fuzzy Theory |
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| ZHANG Yan,LI Feng xia and ZHAN Shou yi.New Image Recognition Method Based on Rough-Sets and Fuzzy Theory[J].Journal of Beijing Institute of Technology,2003,12(3):255-259. |
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| Authors: | ZHANG Yan LI Feng xia and ZHAN Shou yi |
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| Affiliation: | Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A new image recognition method based on fuzzy rough sets theory is proposed, and its implementation discussed. The performance of this method as applied to ferrography image recognition is evaluated. It is shown that the new method gives better results than fuzzy or rough sets method when used alone. |
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| Keywords: | fuzzy method rough sets theory image recognition |
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