The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection

被引：0
|
作者：
Mendoza, Olivia [1 ]
Melin, Patricia [2 ]
Castro, Juan R. [1 ]
机构：
[1] Univ Baja Calif, Sch Engn, Tijuana, Mexico
[2] Tijuana Inst Technol, Dept Res & Grad Studies, Tijuana, Mexico
来源：
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE | 2009年
关键词：
digital images; edge detection; image processing; interval type-2 fuzzy logic;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
We describe a method for edge detection in digital images based on the morphological gradient and fuzzy logic. The goal is to improve one of the basic methods for edge detection in order to obtain a better result even without applying any filter to the image. The tests were made with a type-1 fuzzy inference system (T1FIS) and with an interval type-2 fuzzy inference system (IT2FIS). We show that the images obtained with fuzzy logic are better than the ones obtained with only the morphological gradient method. In particular the IT2FIS achieved the best results, because of the flexibility to model the uncertainty in the gradient values and the gray ranges for the edge images. In both TIFIS and IT2FIS the membership function parameters were obtained directly from the images; this allows application of the proposed method to images with different gray scales.
引用
收藏
页码：774 / 779
页数：6
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