Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection

被引：0
|
作者：
Mendoza, Olivia [1 ]
Melin, Patricia [2 ]
Sandoval, Guillermo Licea [3 ]
机构：
[1] Univ Autonoma Baja Calif, Investigat & Postdegree Dept, Tijuana, Mexico
[2] Tijuana Inst Technol, Dept Comp Sci, Tijuana, Mexico
[3] Univ Baja Calif Tijuana, Tijuana, Mexico
来源：
ENGINEERING LETTERS | 2007年 / 15卷 / 01期
关键词：
Fuzzy Logic; Type-2; FIS; Sobel Operator; Border Detection;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Edges detection in digital images is a problem that has been solved by means of the application of different techniques from digital signal processing, also the combination of some of these techniques with Fuzzy Inference System (FIS) has been experienced. In this work a new FIS Type-2 method is implemented for the detection of edges and the results of three different techniques for the same intention are compared.
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页数：8
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