A Square Grid Structure for Target Detection of Solar Activities

Li Weijiang; Qi Xin; Wang Feng

Astronomical Research and Technology > 2016 > 13(4): 481-488.

Li Weijiang, Qi Xin, Wang Feng. A Square Grid Structure for Target Detection of Solar Activities[J]. Astronomical Research and Technology, 2016, 13(4): 481-488.

Citation:

Li Weijiang, Qi Xin, Wang Feng. A Square Grid Structure for Target Detection of Solar Activities[J]. Astronomical Research and Technology, 2016, 13(4): 481-488.

Citation:

Li Weijiang, Qi Xin, Wang Feng. A Square Grid Structure for Target Detection of Solar Activities[J]. Astronomical Research and Technology, 2016, 13(4): 481-488.

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A Square Grid Structure for Target Detection of Solar Activities

Computer Technology Application Key Laboratory of Yunnan Province, Kunming University of Science and Technology, Kunming 650500, China

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Received Date: November 22, 2015
Revised Date: December 30, 2015
Available Online: November 20, 2023

Graphical Abstract

Abstract

Abstract

Astronomical image background is complicated and contains a lot of noise. To identify and segment astronomical activities effectively and automatically from an astronomical image is difficult and a research hot-spot. This paper proposes a target detection method for solar activity based on the structure of square grid (GBTD). For this method, the solar image is divided into a square grid structure with the same size. Based on multiply-thresholds selection strategy and GBTD strategy, it segments the target area and background area. The experimental results show that this method delivers satisfactory performance in accuracy and time-cost; it also produces an obvious anti-jamming performance for image noise. GBTD method provides a general image segmentation method for investigations of various types of solar images; it also provides a feasible method for solving the problem of mass astronomical data storage.
- GBTD,
- Solar activities,
- Image segmentation,
- Multi-threshold,
- SDO

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References (19)

References

[1]	崔辰州, 李文, 于策, 等. FITS数据文件的检索和访问[J]. 天文研究与技术，国家天文台台刊, 2008, 5(2):116-123. Gui Chenzhou, Li Wen, Yu Ce, et al. Search and location of FITS data files[J]. Astronomical Research & Technology，Publications of National Astronomical Observatories of China, 2008, 5(2):116-123.
[2]	Banda J M, Angryk R A. Selection of image parameters as the first step towards creating a CBIR system for the Solar Dynamics Observatory[C]//DICTA'10 Proceedings of the 2010 International Conference on Digital Image Computing:Techniques and Applications. 2010:528-534.
[3]	Banda J M, Liu C, Angryk R A. Region-based querying of solar data using descriptor signatures[C]//IEEE International Conference on Data Mining Workshops. 2013:1-7.
[4]	Burger H C, Sch lkopf B, Harmeling S. Removing noise from astronomical images using a pixel-specific noise model[C]//2011 IEEE International Conference on Computational Photography (ICCP). 2011:1-8.
[5]	Yokoya N, Levine M D. Range image segmentation based on differential geometry:a hybrid approach[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997, 11(6):643-649.
[6]	James McAteer R. T, Gallagher P T, Ireland J, et al. Automated boundary-extraction and region-growing techniques applied to solar magnetograms[J]. Solar Physics, 2005, 228(1):55-66.
[7]	Benkhalil A, Zharkova V V, Zharkov S, et al. Active region detection and verification with the solar feature catalogue[J]. Solar Physics, 2006, 235(1):87-106.
[8]	Gao Jianlin, Zhou Mengchu, Wang Haimin. A threshold and region growing combined method for filament disappearance area detection in solar images[C]//Conference on Information Sciences and Systems. 2001.
[9]	Parnell C E, DeForest C E, Hagenaar H J, et al. A power-law distribution of solar magnetic fields over more than five decades in flux[J]. The Astrophysical Journal, 2009, 698:75-82.
[10]	Vincent L, Soille P. Watersheds in digital spaces:an efficient algorithm based on immersion simulations[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1991, 13(6):583-598.
[11]	Feng Song, Xu Zhi, Deng Linhua, et al. Automatic segmentation of granules of the solar photosphere using morphological reconstruction and watershed transform[C]//6th International Conference on Intelligent Networks and Intelligent Systems (ICINIS). 2013:300-303.
[12]	Bovelet B, Wiehr E. A new algorithm for pattern recognition and its application to granulation and limb faculae[J]. Solar Physics, 2011, 201(1):13-26.
[13]	Xie Z X, Yu D R, Zhang J, et al. Properties of magnetic elements in the quiet Sun using the marker-controlled watershed method[J]. Astronomy and Astrophysics, 2009, 505(2):801-810.
[14]	Yuan Y, Shih F Y, Jing J, et al. Automatic solar filament segmentation and characterization[J]. Solar Physics, 2011, 272:101-117.
[15]	Gao J L, Wang H M, Zhou M C. Development of an automatic filament disappearance detection system[J]. Solar Physics, 2002, 205(1):93-103.
[16]	Shih F Y, Kowalski A J. Automatic extraction of filaments in Hα solar images[J]. Solar Physics, 2003, 218(1):99-122.
[17]	Ben-Sasson E, Galesi N. Space complexity of random formula in resolution[C]//IEEE Conference on Computational Complexity. 2001:42-51.
[18]	卢蓉, 范勇, 陈念年, 等. 一种提取目标图像最小外接矩形的快速算法[J]. 计算机工程, 2010, 36(21):178-180. Lu Rong, Fan Yong, Chen Niannian, et al. Fast algorithm for extracting minimum enclosing rectangle of target image[J]. Computer Engineering, 2010, 36(21):178-180.
[19]	谢维信, 秦桉. 人的视觉对灰度级别的分辨能力及视觉内部噪声的研究[J]. 航天医学与医学工程, 1991, 4(1):51-55. Xie Weixin, Qin An. The gray level resolution and intrinsic noise of human vision[J]. Space Medicine & Medical Engineering, 1991, 4(1):51-55.

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