DocumentCode
2386055
Title
A New Method for Edge Detection in Image Processing Using Interval Type-2 Fuzzy Logic
Author
Mendoza, Olivia ; Melin, Patricia ; Licea, Guillermo
Author_Institution
UABC Univ., Tijuana
fYear
2007
fDate
2-4 Nov. 2007
Firstpage
151
Lastpage
151
Abstract
Edges detection in digital images is a problem that has been solved by means of the application of different techniques from digital signal processing. Also the combination of some of these techniques with fuzzy inference system (FIS) has been applied. In this work a new FIS type-2 method is implemented for the detection of edges and the results of three different techniques for the same goal are compared.
Keywords
edge detection; fuzzy logic; fuzzy reasoning; type theory; digital image processing; digital signal processing; edge detection; fuzzy inference system; interval type-2 fuzzy logic; Artificial neural networks; Biological neural networks; Digital images; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Image edge detection; Image processing; Image recognition; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3032-1
Type
conf
DOI
10.1109/GrC.2007.115
Filename
4403085
Link To Document