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

被引：171

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

页码：1515 / 1525

页数：11

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