Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic

被引：162
|
作者：
Melin, Patricia [1 ]
Gonzalez, Claudia I. [2 ,3 ]
Castro, Juan R. [2 ]
Mendoza, Olivia [2 ]
Castillo, Oscar [1 ]
机构：
[1] Tijuana Inst Technol, Div Grad Studies, Tijuana 22500, Mexico
[2] Univ Baja Calif, Sch Engn, Tijuana 22379, Mexico
[3] Tijuana Inst Technol, Tijuana 22500, Mexico
来源：
IEEE TRANSACTIONS ON FUZZY SYSTEMS | 2014年 / 22卷 / 06期
关键词：
Alpha planes representation; edge detection; generalized type-2 fuzzy logic; image processing; ALPHA-PLANE REPRESENTATION; SETS THEORY; SYSTEMS; DESIGN;
D O I：
10.1109/TFUZZ.2013.2297159
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：1515 / 1525
页数：11
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