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  2012, Vol. 25 Issue (2): 195-204    DOI:
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Image Edge Detection Based on Multi-Granularity Rough Fuzzy Set
WANG Dan, WU Meng-Da, MAO Zi-Yang, ZHOU Fan-Cheng
Department of Mathematics and Systems Science,National University of Defense Technology,Changsha 410073

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Abstract  An edge detection method based on rough fuzzy set is presented which combines advantages of rough sets that can handle vagueness and C-Set that can provide multi-granularity. An edge expression is proposed by the definition of rough  operation and  operation. Granularity w and structure similarity ε are introduced for better edge detection. The experimental results show that the image edge detection algorithm performs well.
Key wordsRough Fuzzy Set      Granularity      Structure Similarity      Edge Detection     
Received: 15 October 2010     
ZTFLH: O159  
  TP751  
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WANG Dan
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Cite this article:   
WANG Dan,WU Meng-Da,MAO Zi-Yang等. Image Edge Detection Based on Multi-Granularity Rough Fuzzy Set[J]. , 2012, 25(2): 195-204.
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http://manu46.magtech.com.cn/Jweb_prai/EN/      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2012/V25/I2/195
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