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
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