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
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;
Conference_Titel :
Advances in Type-2 Fuzzy Logic Systems (T2FUZZ), 2013 IEEE Symposium on
Conference_Location :
Singapore
DOI :
10.1109/T2FZZ.2013.6613297