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ZHANG Yan, LI Feng xia, 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.
Citation: ZHANG Yan, LI Feng xia, 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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New Image Recognition Method Based on Rough-Sets and Fuzzy Theory

  • Department of Computer Science and Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China

  • Received Date:2002-09-02
    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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    • References (4)
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    Zeng Huanglin.The rough set t heory and its application[M].Chongqin:Chongqin University Publishing House,1998.(in Chinese)
    [2]
    Wu Fabao,Li Qi,Song Wenzhong.Inductive learningapproach to knowledge representation system based onrough set t heory[J].Control and Decision,1999,14(3):206-211.(in Chinese)
    [3]
    Zhang Yan.Pattern recognition of wear particles in lubricating oil of power2train system and t heir ferrographic image processing[D].Beijing:School of Vehicle and Transportation Engineering,Beijing Institute of Technology,2002.(in Chinese)
    [4]
    Shen Qiang,Chouchoulas A.A rough2fuzzy approach forgenerating classification rules[J].Pattern Recognition,2002,35(11):2425-2438.
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