Title : 
Interval Type-2 Fuzzy Logic Applications in Image Processing and Pattern Recognition
         
        
        
            Author_Institution : 
Div. of Grad. Studies & Res., Tijuana Inst. of Technol., Tijuana, Mexico
         
        
        
        
        
        
            Abstract : 
Interval type-2 fuzzy logic can be applied to perform image processing and pattern recognition. In this work a new type-2 fuzzy logic method is applied for edge detection in images and the results are compared with three different traditional techniques for the same goal with the type-2 edge detection outperforming the other techniques.
         
        
            Keywords : 
edge detection; fuzzy logic; image processing; image processing; interval type-2 fuzzy logic applications; pattern recognition; type-2 edge detection; type-2 fuzzy logic method; Artificial neural networks; DH-HEMTs; Fuzzy logic; Image edge detection; Pattern recognition; Pixel; image processing; pattern recognition; type-2 fuzzy logic;
         
        
        
        
            Conference_Titel : 
Granular Computing (GrC), 2010 IEEE International Conference on
         
        
            Conference_Location : 
San Jose, CA
         
        
            Print_ISBN : 
978-1-4244-7964-1
         
        
        
            DOI : 
10.1109/GrC.2010.41