DocumentCode :
2145053
Title :
Interval Type-2 Fuzzy Logic Applications in Image Processing and Pattern Recognition
Author :
Melin, Patricia
Author_Institution :
Div. of Grad. Studies & Res., Tijuana Inst. of Technol., Tijuana, Mexico
fYear :
2010
fDate :
14-16 Aug. 2010
Firstpage :
728
Lastpage :
731
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing (GrC), 2010 IEEE International Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-7964-1
Type :
conf
DOI :
10.1109/GrC.2010.41
Filename :
5576054
Link To Document :
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