Automated Segmentation of High-Resolution Photospheric Images of Active Regions
文献类型：期刊论文
| 作者 | Yang, Meng; Tian, Yu; Rao, Changhui |
| 刊名 | SOLAR PHYSICS
 |
| 出版日期 | 2018-02-01 |
| 卷号 | 293期号:2页码:15 |
| 关键词 | Sunspots, umbra Granulation Instrumentation and data management |
| ISSN号 | 0038-0938 |
| DOI | 10.1007/s11207-017-1236-7 |
| 文献子类 | J |
| 英文摘要 | Due to the development of ground-based, large-aperture solar telescopes with adaptive optics (AO) resulting in increasing resolving ability, more accurate sunspot identifications and characterizations are required. In this article, we have developed a set of automated segmentation methods for high-resolution solar photospheric images. Firstly, a localintensity- clustering level-set method is applied to roughly separate solar granulation and sunspots. Then reinitialization-free level-set evolution is adopted to adjust the boundaries of the photospheric patch; an adaptive intensity threshold is used to discriminate between umbra and penumbra; light bridges are selected according to their regional properties from candidates produced by morphological operations. The proposed method is applied to the solar high-resolution TiO 705.7-nm images taken by the 151-element AO system and GroundLayer Adaptive Optics prototype system at the 1-m New Vacuum Solar Telescope of the Yunnan Observatory. Experimental results show that the method achieves satisfactory robustness and efficiency with low computational cost on high-resolution images. The method could also be applied to full-disk images, and the calculated sunspot areas correlate well with the data given by the National Oceanic and Atmospheric Administration (NOAA). |
| WOS关键词 | FINE-STRUCTURE TELESCOPE ; SOLAR ADAPTIVE OPTICS ; LEVEL SET EVOLUTION ; SUNSPOT ; RECOGNITION ; CONTOURS ; AREAS |
| 语种 | 英语 |
| WOS记录号 | WOS:000426382300005 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/9373]  |
| 专题 | 光电技术研究所_自适应光学技术研究室（八室） |
| 推荐引用方式 GB/T 7714 | Yang, Meng,Tian, Yu,Rao, Changhui. Automated Segmentation of High-Resolution Photospheric Images of Active Regions[J]. SOLAR PHYSICS,2018,293(2):15. |
| APA | Yang, Meng,Tian, Yu,&Rao, Changhui.(2018).Automated Segmentation of High-Resolution Photospheric Images of Active Regions.SOLAR PHYSICS,293(2),15. |
| MLA | Yang, Meng,et al."Automated Segmentation of High-Resolution Photospheric Images of Active Regions".SOLAR PHYSICS 293.2(2018):15. |
入库方式： OAI收割
来源：光电技术研究所
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