Detecting Edges in an Image with the Help of Fuzzy Parameters

Author

Alam, Isra Javaid ; Kadri, Muhammad Bilal

Author_Institution

Electron. & Power Eng. Dept., NUST, Karachi, Pakistan

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

19

Lastpage

24

Abstract

In this research paper a novel image processing technique based on fuzzy logic has been proposed to detect edges in an image. The algorithm formulated for this purpose utilizes the concept of Attanassov´s intuitionistic theory of fuzzy sets, which takes into account a hesitation degree. From this parameter, a new distance measure has been derived, which is termed as the intuitionistic fuzzy divergence or IFD, and is used for calculating the edges. The results obtained are better when compared to other edge detection techniques.

Keywords

distance measurement; edge detection; fuzzy logic; fuzzy set theory; Attanassov intuitionistic theory; IFD; distance measure; edge detection techniques; fuzzy logic; fuzzy parameters; fuzzy sets; hesitation degree; image processing technique; intuitionistic fuzzy divergence; Information technology; PSNR; RMSE; edge detection; fuzzy intuitionistic sets; hesitation degree; intuitionistic divergence; membership degree;

fLanguage

English

Publisher

ieee

Conference_Titel

Frontiers of Information Technology (FIT), 2013 11th International Conference on

Conference_Location

Islamabad

Print_ISBN

978-1-4799-2293-2

Type

conf

DOI

10.1109/FIT.2013.11

Filename

6717219