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Comparison between Edge Detection Techniques

by Satbir Kaur, Ishpreet Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 145 - Number 15
Year of Publication: 2016
Authors: Satbir Kaur, Ishpreet Singh
10.5120/ijca2016910867

Satbir Kaur, Ishpreet Singh . Comparison between Edge Detection Techniques. International Journal of Computer Applications. 145, 15 ( Jul 2016), 15-18. DOI=10.5120/ijca2016910867

@article{ 10.5120/ijca2016910867,
author = { Satbir Kaur, Ishpreet Singh },
title = { Comparison between Edge Detection Techniques },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 145 },
number = { 15 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume145/number15/25354-2016910867/ },
doi = { 10.5120/ijca2016910867 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:48:55.940697+05:30
%A Satbir Kaur
%A Ishpreet Singh
%T Comparison between Edge Detection Techniques
%J International Journal of Computer Applications
%@ 0975-8887
%V 145
%N 15
%P 15-18
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Edge is the foremost feature of the image. Edges can be defined as boundary between regions in an image. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. Edge detection process reduces the amount of data and filters out useless information, while preserving the necessary structural properties in an image. In this paper, the main purpose is to study edge detection process based on different techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Edge detection Sobel Prewitt Laplacian of Gaussian Canny edge detection

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