Method for automatically recognizing macula based on Huairou full-disk single-color image

Abstract

The invention relates to a method for automatically recognizing macula based on a Huairou full-disk single-color image, and aims at solving the problems of extremely low efficiency caused by manually recognizing the profile of macula on disk and that mass data cannot be met in the solar physics in the domestic astronomy field. The method comprises the steps of extracting gradient information of the disk by the morphology bot-hat transformation according to the full-disk single-color image of the Huairou solar observing station of National Astronomical Observatories of China; removing the influence of inherent limb darkening rule of the disk by the fragmentation threshold method, so as to automatically recognize macula. Compared with other algorithms for recognizing the macula based on high-quality solar space data, the method has the characteristic that the macula of the ground images with relatively low quality and suffering from the interference of instrument noise can be precisely recognized. The method is applicable to automatic recognition of macula in the single-color images or white light images at other wave bands and can provide directly service to the fields of generator theory, solar action predication and space environment monitoring.

Description

technical field [0001] The invention belongs to image processing technology in the field of solar physics, in particular to an automatic identification method applicable to sunspots in solar images. Background technique [0002] Sunspots are the most striking solar feature on the sun surface and the most important indicator of the level of solar activity. Analyzing sunspots plays a very important role in studying the long-term activity of the sun, predicting the intensity of solar flares, and monitoring the harm caused by solar activities to human beings. To study the properties of sunspots, they must be accurately identified. Early people identified with the naked eye. However, in recent years, with the continuous improvement of observation capabilities, new large-scale solar observation equipment has been continuously put into use, and a large number of sunspot observation data are generated every day. Due to the low work efficiency and unguaranteed accuracy based on man...

AI Technical Summary

Problems solved by technology

However, the photosphere monochromatic image of Huairou belongs to the ground data, the observation is interfered by the atmosphere, and the resolution is limited; more importantly, part of the data is interfered by instrument noise, and there is a large instrument noise near the center of the sun surface, and The position of instrument noise in different data is not fixed, and existing algorithms do not deal with these problems

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