Solar Filaments Detection using Active Contours Without Edges
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866912172414599168 |
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| author | Bandyopadhyay, Sanmoy Pant, Vaibhav |
| author_facet | Bandyopadhyay, Sanmoy Pant, Vaibhav |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_20749 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Solar Filaments Detection using Active Contours Without Edges Bandyopadhyay, Sanmoy Pant, Vaibhav Computer Vision and Pattern Recognition Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics Artificial Intelligence Machine Learning 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. |
| title | Solar Filaments Detection using Active Contours Without Edges |
| topic | Computer Vision and Pattern Recognition Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2412.20749 |