Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic
- Resource Type
- Periodical
- Authors
- Melin, P.; Gonzalez, C. I.; Castro, J. R.; Mendoza, O.; Castillo, O.
- Source
- IEEE Transactions on Fuzzy Systems IEEE Trans. Fuzzy Syst. Fuzzy Systems, IEEE Transactions on. 22(6):1515-1525 Dec, 2014
- Subject
- Computing and Processing
Image edge detection
Fuzzy logic
Fuzzy systems
Uncertainty
Pragmatics
Detectors
Alpha planes representation
edge detection
generalized type-2 fuzzy logic
image processing
- Language
- ISSN
- 1063-6706
1941-0034
This paper presents an edge-detection method that is based on the morphological gradient technique and generalized type-2 fuzzy logic. The theory of alpha planes is used to implement generalized type-2 fuzzy logic for edge detection. For the defuzzification process, the heights and approximation methods are used. Simulation results with a type-1 fuzzy inference system, an interval type-2 fuzzy inference system, and with a generalized type-2 fuzzy inference system for edge detection are presented. The proposed generalized type-2 fuzzy edge-detection method was tested with benchmark images and synthetic images. We used the merit of Pratt measure to illustrate the advantages of using generalized type-2 fuzzy logic.