Summary of Solar Filaments Detection Using Active Contours Without Edges, by Sanmoy Bandyopadhyay et al.
Solar Filaments Detection using Active Contours Without Edges
by Sanmoy Bandyopadhyay, Vaibhav Pant
First submitted to arxiv on: 30 Dec 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Instrumentation and Methods for Astrophysics (astro-ph.IM); Solar and Stellar Astrophysics (astro-ph.SR); Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The ACWE-based algorithm for detecting solar filaments in H-alpha full-disk solar images consists of three main steps: image pre-processing, image segmentation, and image post-processing. The algorithm initializes contours on the solar image, allowing them to deform based on an energy function. As the contour reaches the boundary of the desired object, the energy function reduces, stopping the contour’s evolution. Compared to classical techniques, the proposed algorithm outperforms existing methods on benchmark datasets. This work demonstrates the potential of ACWE-based algorithms for detecting solar filaments. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper proposes a new way to find solar filaments in pictures taken from space. The method uses “active contours” that can change shape based on what they see. The algorithm has three parts: cleaning up the picture, identifying where the filaments are, and making sure the result is accurate. The authors tested their method with real data and compared it to an old way of doing things. Their new method works better! |
Keywords
» Artificial intelligence » Image segmentation
