论文标题
比较自动方法以检测侧膜观察者光谱图中的黑子
Comparison of automatic methods to detect sunspots in the Coimbra Observatory spectroheliograms
论文作者
论文摘要
Coimbra大学的天文天文台有大量的太阳图像，自1926年以来每天都收购。从一开始，仅记录了Caiik系列中的SpectroHeliogron，并且自1989年以来，也在H_Alpha系列中。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，该工具允许自动检测可应用于整个数据集的黑子，遮阳和半阴茎。为了实现这一目标，已经开发了两种不同的方法，一种基于数学形态，另一种基于像素的数字水平的强度。两种方法都应用于图像子集，其特征是通过实验太阳能观察者视觉识别的特征。通过指标精度，召回和F评分进行了比较两种方法的性能。另一个评估是根据Heliophysics的目录进行目录和SILSO目录进行的。
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 has been recorded, and since 1989 in the H_alpha 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 automatic 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 catalogue.
