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A Novel Algorithm for Impulse Noise Removal and Edge Detection

by Akansha Mehrotra, Krishna Kant Singh, M.J.Nigam
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 38 - Number 7
Year of Publication: 2012
Authors: Akansha Mehrotra, Krishna Kant Singh, M.J.Nigam
10.5120/4701-6855

Akansha Mehrotra, Krishna Kant Singh, M.J.Nigam . A Novel Algorithm for Impulse Noise Removal and Edge Detection. International Journal of Computer Applications. 38, 7 ( January 2012), 30-34. DOI=10.5120/4701-6855

@article{ 10.5120/4701-6855,
author = { Akansha Mehrotra, Krishna Kant Singh, M.J.Nigam },
title = { A Novel Algorithm for Impulse Noise Removal and Edge Detection },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 38 },
number = { 7 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume38/number7/4701-6855/ },
doi = { 10.5120/4701-6855 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:16.574468+05:30
%A Akansha Mehrotra
%A Krishna Kant Singh
%A M.J.Nigam
%T A Novel Algorithm for Impulse Noise Removal and Edge Detection
%J International Journal of Computer Applications
%@ 0975-8887
%V 38
%N 7
%P 30-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edge detection of images is an important task in computer vision and image processing. Edge detection of noise free images is relatively simpler, but in most practical cases the images are degraded by noise. To find the edges from noisy images is a challenging task. This paper proposes a novel edge detection algorithm for images corrupted with noise. The algorithm finds the edges by eliminating the noise from the image so that the correct edges are determined. For making the image noise free the algorithm calculates closeness parameters, based on this parameter the noisy pixel is replaced by the most appropriate value. The edges of the noise free image are determined using morphological operators erosion and dilation. The proposed algorithm uses a combination of these operators to find the edges. This algorithm uses two different types of structuring elements so that all the edges of the image are determined efficiently.

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Index Terms

Computer Science
Information Sciences

Keywords

Impulse noise morphological operators edge detection.

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