The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Metadata Harvesting (OAI2)
  • Digital Archiving Policy
  • Promote your Publication

IJACSA

  • About the Journal
  • Call for Papers
  • Author Guidelines
  • Fees/ APC
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Editors
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Indexing
  • Submit your Paper
  • Guidelines
  • Fees
  • Current Issue
  • Archives
  • Editors
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2018.090538

An Automatic Segmentation Algorithm for Solar Filaments in H-Alpha Images using a Context-based Sliding Window

Author 1: Ibrahim A. Atoum

PDF

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 5, 2018.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: There are many features which appear on the surface of the sun. One of these features that appear clearly are the dark threads in the Hydrogen alpha (Hα) spectrum solar images. These ‘filaments’ are found to have a definite correlation with Coronal Mass Ejections (CMEs). A CME is a large release of plasma into space. It can be hazardous to astronauts and the spacecraft if it is being ejected towards the Earth. Knowing the exact attributes of solar filaments may open the way towards predicting the occurrence of CMEs. In this paper, an efficient and fully automated algorithm for solar filament segmentation without compromising accuracy is proposed. The algorithm uses some statistical measures to design the thresholding equations and it is written in the C++ programming language. The square root of the range as a measure of variability of image intensity values is used to determine the size of the sliding window at run time. There are many previous studies in this area, but no single segmentation method that could precisely claim to be fully automatic exists. Samples were taken from several representative regions in low-contrast and high-contrast solar images to verify the viability and efficacy of the method.

Keywords: Solar image processing; solar filament; segmentation; sliding window; Coronal mass ejections

Ibrahim A. Atoum, “An Automatic Segmentation Algorithm for Solar Filaments in H-Alpha Images using a Context-based Sliding Window” International Journal of Advanced Computer Science and Applications(IJACSA), 9(5), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090538

@article{Atoum2018,
title = {An Automatic Segmentation Algorithm for Solar Filaments in H-Alpha Images using a Context-based Sliding Window},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090538},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090538},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {5},
author = {Ibrahim A. Atoum}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

Future of Information and Communication Conference (FICC) 2024

4-5 April 2024

  • Berlin, Germany

Computing Conference 2024

11-12 July 2024

  • London, United Kingdom

IntelliSys 2024

5-6 September 2024

  • Amsterdam, The Netherlands

Future Technologies Conference (FTC) 2023

2-3 November 2023

  • San Francisco, United States
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org