NDLI: An improved sobel edge detection method based on generalized type-2 fuzzy logic

Content Provider	Springer Nature Link
Author	Gonzalez, Claudia I. Melin, Patricia Castro, Juan R. Mendoza, Olivia Castillo, Oscar
Copyright Year	2014
Abstract	Edge detectors have traditionally been an essential part of many computer vision systems. There are different methods that have been proposed for improving edge detection in real images. This paper proposes an edge detection method based on the Sobel technique and generalized type-2 fuzzy logic systems. To limit the complexity of handling generalized type-2 fuzzy logic, the theory of $$\alpha $$ -planes is used. Simulation results are obtained with the Sobel operator (without fuzzy logic), then with a type-1 fuzzy logic system (T1FLS), an interval type-2 fuzzy logic system (IT2FLS) and with a generalized type-2 fuzzy logic system (GT2FLS). The proposed generalized type-2 fuzzy edge detection method is tested with synthetic images with promising results. To illustrate the advantages of using generalized type-2 fuzzy logic in combination with the Sobel operator, the figure of merit of Pratt measure is applied to measure the accuracy of the edge detection process.
Starting Page	773
Ending Page	784
Page Count	12
File Format	PDF
ISSN	14327643
Journal	Soft Computing
Volume Number	20
Issue Number	2
e-ISSN	14337479
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-12-16
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	$$\alpha $$ -planes General type-2 fuzzy logic system Generalized type-2 fuzzy logic system Interval type-2 fuzzy logic system Image processing Edge detection Computational Intelligence Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Software Geometry and Topology

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