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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.
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Received: 15 October 2010
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2012, Vol. 25 
