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.
Abstract (translated)
在这篇文章中，提出了一种基于无边界的主动轮廓（ACWE）算法，用于检测H-Alpha全太阳盘图像中的日珥丝。整个算法包括三个主要的图像处理步骤：预处理、分割和后处理。在此工作中，初始轮廓在太阳图像上进行初始化，并根据能量函数允许其变形。一旦轮廓到达所需对象的边界，能量函数会减少，从而停止演化。 该提出的算法已应用于一些基准数据集，并与传统的物体检测技术进行了比较。结果分析表明，所提出的算法优于现有传统物体检测算法的结果。
URL
https://arxiv.org/abs/2412.20749
