Home
Global Journal of Engineering and Technology Advances
International Peer reviewed Engineering Journal || Crossref DOI || Impact Factor 8.6 || ISSN: 2582-5003

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

Subject review: Image edge detection techniques

Breadcrumb

  • Home
  • Subject review: Image edge detection techniques

Wedad Abdul Khuder Naser *, Amal Abbas Kadhim and Safana Hyder Abbas

Department of computer science, University Al Mustansiriyah, Baghdad, Iraq.
 
Research Article
Global Journal of Engineering and Technology Advances, 2024, 19(01), 001–005.
Article DOI: 10.30574/gjeta.2024.19.1.0054
DOI url: https://doi.org/10.30574/gjeta.2024.19.1.0054
Received on 20 February 2024; revised on 29 March 2024; accepted on 01 April 2024
 
The effective interpretation of an image's content and the extraction of relevant information from it are two of the process' key goals. Many researchers in the field of picture interpretation have brought this to our attention. To properly mine the edges information from the image is one of the most difficult steps in image interpretation. The contours of an item may be used to create edges, which are the basic elements of a picture. Edge detection is a commonly used imaging technique that may be created from an object's outline. Edge detection is frequently employed in image processing and analysis. There are several types of algorithm to detect the edges. In this paper, the comprehensive analysis is done on the several edge detection techniques such as Prewitt, Sobel, Canny, Roberts and Laplacian of Gaussian and other methods.
 
Image segmentation; Edge detection; Prewitt; Sobel; Laplacian of Gaussian; Canny; Roberts fuzzy; Hopfield neural
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2024-0054.pdf

Preview Article PDF

Wedad Abdul Khuder Naser, Amal Abbas Kadhim and Safana Hyder Abbas. Subject review: Image edge detection techniques. Global Journal of Engineering and Technology Advances, 2024, 19(1), 001-005. Article DOI: https://doi.org/10.30574/gjeta.2024.19.1.0054

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

          

 

Copyright © 2026 Global Journal of Engineering and Technology Advances - All rights reserved

Developed & Designed by VS Infosolution