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Reseach Article

Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro-Fuzzy Inference System (ANFIS)

by Karishma Bhardwaj, Palvinder Singh Mann
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 72 - Number 12
Year of Publication: 2013
Authors: Karishma Bhardwaj, Palvinder Singh Mann
10.5120/12548-9130

Karishma Bhardwaj, Palvinder Singh Mann . Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro-Fuzzy Inference System (ANFIS). International Journal of Computer Applications. 72, 12 ( June 2013), 36-41. DOI=10.5120/12548-9130

@article{ 10.5120/12548-9130,
author = { Karishma Bhardwaj, Palvinder Singh Mann },
title = { Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro-Fuzzy Inference System (ANFIS) },
journal = { International Journal of Computer Applications },
issue_date = { June 2013 },
volume = { 72 },
number = { 12 },
month = { June },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume72/number12/12548-9130/ },
doi = { 10.5120/12548-9130 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:37:45.792598+05:30
%A Karishma Bhardwaj
%A Palvinder Singh Mann
%T Edge Detection in Digital Images Corrupted by Salt and Pepper Noise using Adaptive Neuro-Fuzzy Inference System (ANFIS)
%J International Journal of Computer Applications
%@ 0975-8887
%V 72
%N 12
%P 36-41
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents an Edge Detection technique for images corrupted by salt and pepper noise, which is based on an Adaptive Neuro-Fuzzy Inference System (ANFIS). This proposed technique first of all filters out the noise by Noise Adaptive Fuzzy Switching Median Filter (NAFSMF) and then find the edges using proposed ANFIS based edge detector. The training pattern for edge detection is proposed to optimize the internal parameters of the ANFIS based edge detector. The edges are directly determined by the proposed ANFIS based edge detector. This proposed edge detector is then compared with popular edge detectors Sobel, Roberts, Prewitt on the basis of performance metrics PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error) and No. of Edges detected.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Adaptive Neuro-Fuzzy Inference System (ANFIS) Edge Detection Salt and Pepper noise Sobel Roberts Prewitt