用无边缘主动轮廓检测太阳暗条，精度优于传统方法。
Solar Filaments Detection using Active Contours Without Edges
- 基于能量函数驱动轮廓演化，自动逼近目标边界。
- 在多个基准数据集上准确率优于经典检测算法。
- 适合天文图像中弱对比度结构的精准分割任务。
本文提出一种基于无边缘主动轮廓（ACWE）的算法，用于在H-alpha全盘太阳图像中检测太阳暗条。整体流程包括图像预处理、图像分割和后处理三个步骤。在该方法中，轮廓在太阳图像上初始化，并根据能量函数进行变形；当轮廓接近目标物体边界时，能量函数降低，轮廓停止演化。该算法已应用于多个基准数据集，并与经典目标检测技术进行了比较。结果分析表明，所提算法在检测性能上优于现有经典方法。
原文摘要 · Abstract (English)
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.
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