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Automated sunspot detection using morphological reconstruction and adaptive region growing techniques
Yu, Lan1; Deng LH(邓林华)2; Feng, Song3
会议录名称Proceedings of the 33rd Chinese Control Conference, CCC 2014
2014-09-11
页码7168-7172
DOI10.1109/ChiCC.2014.6896184
会议录编者/会议主办者IEEE
产权排序第2完成单位
收录类别EI ; CPCI
会议名称Chinese Control Conference, CCC
会议日期2014-07-28
会议地点Nanjing, China
会议赞助商Systems Engineering Society of China; Technical Committee on Control Theory of Chinese Association of Automation
关键词Automated Detection Sunspot Umbrae Sunspot Penumbrae Morphological Reconstruction Adaptive Region Growing
摘要

Sunspots are dark areas with respect to their surrounding area because the temperature of sunspot areas is lower than the average temperature of the solar surface. It provides essential information for many aspects of solar physics. A sunspot is composed of umbra and penumbra. It is a prerequisite for studying solar physics and spatial atmosphere to accurately segment and extract sunspot structures. Consequently, we propose an automated detection technique for segmenting and extracting them. The detection procedure is composed of two steps: (1) segmenting and extracting sunspot umbra with morphological reconstruction; (2) detecting and segmenting sunspot penumbra with region growing. For evaluating the accuracy of the detection procedure, we used a high-resolution observation obtained by Solar Optical Telescope onboard Hinode, and other obtained with the Dutch Open Telescope to illustrate the performance. The results demonstrate that our proposed technique is significant effective and accurate, and is suitable for studying the sunspot evolution and their physical phenomena.

资助项目N/A
项目资助者N/A
语种英语
学科领域天文学 ; 天文学其他学科 ; 电子、通信与自动控制技术
文章类型Proceedings Paper
出版者IEEE Computer Society
ISBN号9789881563842
ISSN号2161-2927
URL查看原文
EI入藏号20144300119231
EI主题词Adaptive Optics
EI分类号731automatic Control Principles And Applications - 741.1light/optics
引用统计
被引频次:3[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ynao.ac.cn/handle/114a53/4877
专题抚仙湖太阳观测和研究基地
通讯作者Yu, Lan
作者单位1.Department of Information Engineering, Yunnan Land and Resources Vocational College, Kunming 650217, P. R. China
2.National Astronomical Observatories/ Yunnan Astronomical Observatory, Chinese Academy of Sciences, Kunming 650011, P. R. China
3.Yunnan Key Laboratory of Computer Technology Application / Faculty of Information Engineering and Automation, Kunming. University of Science and Technology, Kunming 650500, P. R. China
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GB/T 7714
Yu, Lan,Deng LH,Feng, Song. Automated sunspot detection using morphological reconstruction and adaptive region growing techniques[C]//IEEE:IEEE Computer Society,2014:7168-7172.
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