Title : 
An edge detection method based on generalized type-2 fuzzy logic
         
        
            Author : 
Gonzalez, Christopher ; Castro, Juan R. ; Melin, Patricia ; Castillo, Oscar
         
        
            Author_Institution : 
Sch. of Eng., Univ. of Baja California, Tijuana, Mexico
         
        
        
        
        
        
            Abstract : 
This paper presents an edge detection method based on morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to implement generalized type-2 fuzzy logic. The proposed type-2 fuzzy edge detection method was tested with benchmark images to illustrate the advantages of the use of generalized type-2 fuzzy logic.
         
        
            Keywords : 
edge detection; fuzzy logic; fuzzy set theory; gradient methods; generalized type-2 fuzzy logic; morphological gradient technique; theory of alpha planes; type-2 fuzzy edge detection method; Detectors; Fuzzy logic; Fuzzy systems; Gaussian noise; Image edge detection; Mathematical model; Uncertainty; alpha planes theory; edge detection; generalized type-2 fuzzy logic; inage processing;
         
        
        
        
            Conference_Titel : 
Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2013 IEEE Symposium on
         
        
            Conference_Location : 
Singapore
         
        
        
            DOI : 
10.1109/T2FZZ.2013.6613297