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Fuzzy Edge Linking Process on Fuzzy Noise Filtered Image

by G. Sudhavani, S. Sravani, P. Venkateswara Rao, K. Satya Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 93 - Number 15
Year of Publication: 2014
Authors: G. Sudhavani, S. Sravani, P. Venkateswara Rao, K. Satya Prasad
10.5120/16295-6173

G. Sudhavani, S. Sravani, P. Venkateswara Rao, K. Satya Prasad . Fuzzy Edge Linking Process on Fuzzy Noise Filtered Image. International Journal of Computer Applications. 93, 15 ( May 2014), 33-40. DOI=10.5120/16295-6173

@article{ 10.5120/16295-6173,
author = { G. Sudhavani, S. Sravani, P. Venkateswara Rao, K. Satya Prasad },
title = { Fuzzy Edge Linking Process on Fuzzy Noise Filtered Image },
journal = { International Journal of Computer Applications },
issue_date = { May 2014 },
volume = { 93 },
number = { 15 },
month = { May },
year = { 2014 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume93/number15/16295-6173/ },
doi = { 10.5120/16295-6173 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:16:11.647920+05:30
%A G. Sudhavani
%A S. Sravani
%A P. Venkateswara Rao
%A K. Satya Prasad
%T Fuzzy Edge Linking Process on Fuzzy Noise Filtered Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 93
%N 15
%P 33-40
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Processing of images plays a vital role in many fields such as medical and scientific applications. During the transmission of images, effect of noise plays a key role. A fuzzy filter is presented for additive noise removal from color images. During the process of noise removal, some of the edges may be disappeared. This paper presents two independent fuzzy based edge linking algorithms which are capable of finding a set of edge points in an image and linking these edge points by thresholding. The first algorithm includes a set of 16 fuzzy templates, representing the edge profiles of different types. The second algorithm relies on the image gradient to locate breaks in uniform regions and is based on fuzzy if-then rules. Performance evaluation of these algorithms is known by calculating peak signal to noise ratio (PSNR).

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy filter Fuzzy rule - based system Additive noise Gradient Edge detection Intuitionistic fuzzy set Membership degree Hesitation degree Intuitionistic fuzzy divergence Fuzzy interference system.

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