DocumentCode
3242232
Title
An edge detection method based on generalized type-2 fuzzy logic
Author
Gonzalez, Christopher ; Castro, Juan R. ; Melin, Patricia ; Castillo, Oscar
Author_Institution
Sch. of Eng., Univ. of Baja California, Tijuana, Mexico
fYear
2013
fDate
16-19 April 2013
Firstpage
39
Lastpage
44
Abstract
This paper presents an edge detection method based on morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to implement generalized type-2 fuzzy logic. The proposed type-2 fuzzy edge detection method was tested with benchmark images to illustrate the advantages of the use of generalized type-2 fuzzy logic.
Keywords
edge detection; fuzzy logic; fuzzy set theory; gradient methods; generalized type-2 fuzzy logic; morphological gradient technique; theory of alpha planes; type-2 fuzzy edge detection method; Detectors; Fuzzy logic; Fuzzy systems; Gaussian noise; Image edge detection; Mathematical model; Uncertainty; alpha planes theory; edge detection; generalized type-2 fuzzy logic; inage processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2013 IEEE Symposium on
Conference_Location
Singapore
Type
conf
DOI
10.1109/T2FZZ.2013.6613297
Filename
6613297
Link To Document