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 |
DOI | 10.1109/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 | |
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 |
推荐引用方式 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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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Automated sunspot de(1370KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 请求全文 |
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