Technique for Edge Detection Based on Interval Type-2 Fuzzy Logic with Sobel Filtering

被引：0
|
作者：
Solanki, Chandan [1 ]
Godfrey, W. Wilfred [1 ]
机构：
[1] ABV IIITM, Informat & Commun Technol, Gwalior, India
来源：
PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE (ICIS) | 2016年
关键词：
Morphological gradient (MG); fuzzy logic system (FLS); Interval Type-2 FLS; figure of merit(FOM); footprint of uncertainty (FOU); membership function (MF); sobel filtering; euclidean distance (ed); SYSTEMS;
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：
Edge detection is a primitive process required for any complex image processing and recognition task. This paper introduces an idea to improve the conventional edge detection methods. Type-2 fuzzy logic is used for representing uncertainty in the image gradients and aggregation. The uncertainty in the image gradients help to identify true edges which may be ignored by other edge detection techniques.
引用
收藏
页码：38 / 43
页数：6
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