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
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;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.115
