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Reseach Article

Edge Detection through Fuzzy System using Type I Format

by Gurjot Kaur, Ishpreet Singh Virk
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 102 - Number 13
Year of Publication: 2014
Authors: Gurjot Kaur, Ishpreet Singh Virk
10.5120/17877-8866

Gurjot Kaur, Ishpreet Singh Virk . Edge Detection through Fuzzy System using Type I Format. International Journal of Computer Applications. 102, 13 ( September 2014), 24-27. DOI=10.5120/17877-8866

@article{ 10.5120/17877-8866,
author = { Gurjot Kaur, Ishpreet Singh Virk },
title = { Edge Detection through Fuzzy System using Type I Format },
journal = { International Journal of Computer Applications },
issue_date = { September 2014 },
volume = { 102 },
number = { 13 },
month = { September },
year = { 2014 },
issn = { 0975-8887 },
pages = { 24-27 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume102/number13/17877-8866/ },
doi = { 10.5120/17877-8866 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:33:02.493745+05:30
%A Gurjot Kaur
%A Ishpreet Singh Virk
%T Edge Detection through Fuzzy System using Type I Format
%J International Journal of Computer Applications
%@ 0975-8887
%V 102
%N 13
%P 24-27
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper proposes the implementation of a very simple but efficient fuzzy logic based algorithm to detect the edges of an image with desired level of threshold values. The approach begins by scanning the images using floating 2x2 pixel window. FIS is designed with 4 inputs, whose output is further used in proposed algorithm to reduce the noise in the edges produced by the FIS. This algorithm is compared with six standard algorithms and one more system is also proposed which gives the direct comparison of these six algorithms visually.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Fuzzy logic Fuzzy inference system