Solar Filaments Detection using Active Contours Without Edges

TL;DR

This paper introduces an ACWE-based algorithm for solar filament detection in H-alpha images, utilizing image processing steps to accurately segment and identify filaments, outperforming classical detection methods.

Contribution

The paper presents a novel ACWE-based method specifically designed for solar filament detection, improving accuracy over traditional object detection techniques.

Findings

The proposed algorithm effectively detects solar filaments in benchmark datasets.

It outperforms classical object detection algorithms in accuracy.

The method demonstrates robustness in various solar image conditions.

Abstract

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.