Solar Filaments Detection using Active Contours Without Edges
Not on the map. Why?
Abstract (arXiv)
In this article, an active contours without edges (ACWE)-based algorithm has been proposed for the detection of solar filaments in H-alpha full-disk solar images. The overall algorithm consists of three main steps of image processing. These are image pre-processing, image segmentation, and image post-processing. Here in the work, contours are initialized on the solar image and allowed to deform based on the energy function. As soon as the contour reaches the boundary of the desired object, the energy function gets reduced, and the contour stops evolving. The proposed algorithm has been applied to few benchmark datasets and has been compared with the classical technique of object detection. The results analysis indicates that the proposed algorithm outperforms the results obtained using the existing classical algorithm of object detection.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 1 of its 12 references that are in the map. First posted on arXiv 30 Dec 2024.
Builds on
1 of 12 references.
References · 1
- 2019Toward Filament Segmentation Using Deep Neural Networkscited by 5
Built on by
Not cited yet.