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Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms
Astronomy and Computing ( IF 2.5 ) Pub Date : 2020-05-06 , DOI: 10.1016/j.ascom.2020.100385
S. Carvalho , S. Gomes , T. Barata , A. Lourenço , N. Peixinho

The Astronomical Observatory of the University of Coimbra has a huge collection of solar images, acquired daily since 1926. From the beginning, only spectroheliograms in the CaiiK line have been recorded, and since 1989 in the Hα line also. Such dataset requires efficient tools to detect and analyze solar activity features. The objective of this work is to create a tool that allows to automatically detect sunspots, umbra, and penumbra, that can be applied to the entire dataset. To achieve this, two different approaches have been developed, one based on mathematical morphology and another based on the intensities of the digital levels of the pixels. Both approaches were applied to a subset of images with features identified visually by an experimented solar observer. The performance of both methods was compared through the metrics Precision, Recall and F-score. Another evaluation was made based on the catalogs from Heliophysics Features Catalog and the SILSO catalog.



中文翻译:

在科英布拉天文台光谱图中检测黑子的自动方法的比较

自1926年以来,科英布拉大学的天文台收集了大量的太阳影像。从一开始,只有太阳光谱图 C一种iiķ 自1989年以来 Hα行也。这样的数据集需要有效的工具来检测和分析太阳活动特征。这项工作的目的是创建一个工具,该工具可以自动检测可以应用于整个数据集的黑子,本影和半影。为了实现这一点,已经开发出两种不同的方法,一种基于数学形态,另一种基于像素的数字电平的强度。两种方法都被应用于图像的子集,这些图像的特征由经过实验的太阳观察者视觉识别。通过精度,召回率和F得分对两种方法的性能进行了比较。根据Heliophysics功能目录和SILSO目录中的目录进行了另一项评估。

更新日期:2020-05-06
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