Cuckoo Search Algorithm for the Optimization of Type-2 Fuzzy Image Edge Detection Systems

被引：0
|
作者：
Gonzalez, C. I. [1 ]
Castro, J. R. [1 ]
Melin, P. [2 ]
Castillo, O. [2 ]
机构：
[1] Univ Baja Calif, Sch Engn, Tijuana, Mexico
[2] Tijuana Inst Technol, Div Grad Studies, Tijuana, Mexico
来源：
2015 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2015年
关键词：
Cuckoo Search; edge detection; interval type-2 fuzzy logic; fuzzy edge detection; LEVY FLIGHTS; DESIGN;
D O I：
暂无
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 the optimization of the antecedent parameters for a system of image edge detection based on the Sobel technique combined with interval type-2 fuzzy logic. The optimal design of fuzzy systems is a difficult task and for this reason the use of meta-heuristic optimization techniques is considered in this paper. For the optimization of the fuzzy inference system the Cuckoo Search (CS) algorithm is applied, and the idea is to find the optimal design parameters of interval type 2 fuzzy systems and achieve better results in applications of edge detection for digital images.
引用
收藏
页码：449 / 455
页数：7
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