Coronal loop detection in solar images
Abstract
Recommendations
Coronal loop detection from solar images
In this paper, we make an overview of a methodology for the automatic retrieval of images with coronal loops from the solar image data captured by the extreme-ultraviolet imaging telescope (EIT) onboard the spacecraft SOHO (Solar and Heliospheric ...
Automated coronal hole segmentation from Solar EUV Images using the watershed transform
After the seed is indicated, the segmentation process progresses automatically.A new algorithm for merging regions into the output mask of the coronal hole.The average time of segmentation of a single coronal hole is 342ms.Based on the experiments ...
Comments
Information & Contributors
Information
Published In
![cover image ACM Conferences](/cms/asset/c5876c48-a1e2-4eb7-a44c-26ffb1b197bf/1347787.cover.jpg)
Sponsors
- ACM: Association for Computing Machinery
- IEEE-CS\DATC: IEEE Computer Society
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Qualifiers
- Poster
Conference
- ACM
- IEEE-CS\DATC
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 36Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in