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Method of identifying penumbra fiber bright spots in astronomical image sunspot

A sunspot and astronomical image technology, applied in the field of astronomical technology and image processing, can solve problems such as uneven distribution, misrecognition of recognition results, blurred edges, etc., and achieve reliable and accurate recognition results, simplified image data, and good robustness Effect

Inactive Publication Date: 2016-08-10
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the penumbral fiber bright spot is a point with strong local intensity, and has the characteristics of uneven distribution and blurred edges, the method of identifying penumbral fiber bright spot based on gradient has many limitations, which will lead to misidentification and Inaccurate identification results

Method used

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  • Method of identifying penumbra fiber bright spots in astronomical image sunspot
  • Method of identifying penumbra fiber bright spots in astronomical image sunspot
  • Method of identifying penumbra fiber bright spots in astronomical image sunspot

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Experimental program
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Effect test

Embodiment 1

[0033] Embodiment 1: as Figure 1-9 As shown, a method for identifying penumbral fiber bright spots in sunspots of astronomical images, the specific steps of the method are as follows:

[0034] Step1. Receive the solar photosphere image I to be identified 1 , use bandpass filter to denoise, and get the denoised image I 2 ;

[0035] Step2, for image I 2 Use the method of morphological reconstruction to mark the umbra area, and then perform binarization processing to obtain the binary image I of the umbra area 3 ;

[0036] Step3, using the method of region growth to identify the binary image I 3 Perform processing to mark the penumbra area, and obtain the binary image I of the penumbra area 4 ;

[0037] Step4. Use the method of morphological reconstruction to image I 2 Reconstruct to get the reconstructed image I 5 ;

[0038] Step5, use image I 5 with image I 2 Subtract to get the difference image I 6 ;

[0039] Step6, for image I 6 Perform binarization to obtain ...

Embodiment 2

[0043] Embodiment 2: as Figure 1-9 As shown, a method for identifying penumbral fiber bright spots in sunspots of astronomical images, the specific steps of the method are as follows:

[0044] Step1. Receive the solar photosphere image I to be identified 1 , use bandpass filter to denoise, and get the denoised image I 2 ;

[0045] Step2, for image I 2 Use the method of morphological reconstruction to mark the umbra area, and then perform binarization processing to obtain the binary image I of the umbra area 3 ;

[0046] Step3, using the method of region growth to identify the binary image I 3 Perform processing to mark the penumbra area, and obtain the binary image I of the penumbra area 4 ;

[0047] Step4. Use the method of morphological reconstruction to image I 2 Reconstruct to get the reconstructed image I 5 ;

[0048] Step5, use image I 5 with image I 2 Subtract to get the difference image I 6 ;

[0049] Step6, for image I 6 Perform binarization to obtain ...

Embodiment 3

[0052] Embodiment 3: as Figure 1-17 A method for identifying penumbral fiber bright spots in sunspots in astronomical images, shown in ,

[0053] (1) Receive the sunspot image I to be identified 1 ,Such as Figure 10 As shown, the darker area in the center of the figure is the sunspot umbra area, and the halo-like structure on the periphery of the umbra area is the penumbra area, and the grains in the image are rice grain structures. The strip-shaped bright strips in the penumbra area are bright fibers, and there are local bright spots on each bright fiber called penumbra fiber bright spots. Use band-pass filter to smooth the sunspot image to get the denoised image I 2 ,Such as Figure 11 As shown, the smooth structural element selected here is a circle with a radius of 9;

[0054] (2) Use the method of morphological expansion to expand the image I 2 Obtain the expanded image, where the structural element used for expansion is a circle with a radius of 5 pixels, and the...

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Abstract

The invention relates to a method of identifying penumbra fiber bright spots in the astronomical image sunspot, and belongs to the field of astronomical technology and image processing. The method comprises the steps of denoising a solar photosphere image I1 using band-pass filtering, to obtain an image I2; marking an umbra region for the image I2 using a morphological reconstruction method, to obtain a binary image I3 of the umbra region; processing the identified image I3 by using a region growth method to mark a penumbra region, to obtain a binary image I4 of the penumbra region; reconstructing the image I2 using the morphological reconstruction method, to obtain a reconstructed image I5; subtracting the image I2 from the image I5 to obtain a differential image I6; binarizing the image I6 to obtain a binary image I7; removing small area miscellaneous points to obtain a binary image I8; and multiplying the image I8 by the image I3 and the image I4 to remove points in the umbra region and a granule region, and obtaining an image I9. The invention is advantageous over the identification method based on high-pass filtering, and the identification result is reliable and accurate.

Description

technical field [0001] The invention relates to a method for identifying penumbral fiber bright spots in sunspots in astronomical images, and belongs to the fields of astronomical technology and image processing. Background technique [0002] With the development of science and technology, people realize that solar activities are of great significance to the life of the earth and human beings. The study of solar activity is an important aspect of astronomy, and the study of penumbral fibers in sunspots has attracted more and more attention from researchers. [0003] At present, the method of identifying the bright spots of penumbral fibers is to use high-pass filtering to identify them, which is a gradient-based identification method. Since the penumbral fiber bright spot is a point with strong local intensity, and has the characteristics of uneven distribution and blurred edges, the method of identifying penumbral fiber bright spot based on gradient has many limitations, w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/20224G06T2207/20182
Inventor 冯松王洋季凯帆杨云飞王锋邓辉
Owner KUNMING UNIV OF SCI & TECH
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