自动太阳黑子探测作为目视观测的替代方法
Automated Sunspot Detection as an Alternative to Visual Observations
摘要：
我们开发了一个自动化的方法，太阳黑子检测使用数字白光太阳图像，以实现类似的性能，在太阳黑子计数的视觉绘图观测。为了正确识别小的孤立的黑子，我们特别注意太阳静盘分量的精确推导，这是使用阈值识别黑子的参考。该阈值是使用自适应方法来确定的，以处理在各种条件下获得的图像。为了消除视觉效应，我们的方法可以处理在短时间内拍摄的多幅图像。我们应用所开发的方法在三个站点捕获的数字图像，并比较检测结果与视觉观察。我们的结论是，建议的太阳黑子检测方法具有类似的性能，视觉观察。该方法可广泛应用于公共天文台、业余天文爱好者和专业天文台，作为太阳黑子计数手工目测的替代方法。
英文摘要：
We developed an automated method for sunspot detection using digital white-light solar images to achieve a performance similar to that of visual drawing observations in sunspot counting. To identify down to small, isolated spots correctly, we pay special attention to the accurate derivation of the quiet-disk component of the Sun, which is used as a reference to identify sunspots using a threshold. This threshold is determined using an adaptive method to process images obtained under various conditions. To eliminate the seeing effect, our method can process multiple images taken within a short time. We applied the developed method to digital images captured at three sites and compared the detection results with those of visual observations. We conclude that the proposed sunspot detection method has a similar performance to that of visual observation. This method can be widely used by public observatories and amateurs as well as professional observatories as an alternative to hand-drawn visual observation for sunspot counting.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
