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

A sunspot and automatic identification technology, applied in the field of solar physics, can solve the problems of large instrument noise, data instrument noise interference, and instrument noise instability

A sunspot and automatic identification technology, applied in the field of solar physics, can solve the problems of large instrument noise, data instrument noise interference, and instrument noise instability

CN104615990AInactive Publication Date: 2015-05-13NAT ASTRONOMICAL OBSERVATORIES CHINESE ACAD OF SCI
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  • Method for automatically recognizing macula based on Huairou full-disk single-color image
  • Method for automatically recognizing macula based on Huairou full-disk single-color image
  • Method for automatically recognizing macula based on Huairou full-disk single-color image

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Embodiment Construction

[0026] Embodiments of the present invention are described as follows in conjunction with accompanying drawings:

[0027] The specific implementation steps of the sunspot automatic identification method of the present invention are as follows:

[0028] First, on the raw data (see figure 1 ), use the closing operation to get a clean solar surface (see figure 2 ), where the structural element used is set to be a circle with a radius of 15, which is slightly larger than the radius of sunspots on the sun, and can eliminate all sunspots on the sun.

[0029] Second, the figure 2 and figure 1 subtraction to obtain the gradient information on the solar surface (see image 3 );

[0030] Thirdly, use other methods to extract the contour of the edge of the sun (related programs have been developed), calculate the radius of the sun, and then image 3 The solar surface in is divided into two areas: the area within 0.8 radius of the sun is set as I1, and the area of ​​0.8-1 solar rad...

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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...

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Application Information

Patent Timeline
13 May 2015
Publication
CN104615990A
IPC
G06K9/00; G06K9/46
CPC
G06V20/13; G06V10/44
Inventors
赵翠; 林钢华