| Department | 自适应光学技术研究室（八室） |
| Automated Segmentation of High-Resolution Photospheric Images of Active Regions | |
| Yang, Meng; Tian, Yu; Rao, Changhui | |
| Source Publication | SOLAR PHYSICS
 |
| Volume | 293Issue:2Pages:15 |
| 2018-02-01 | |
| Language | 英语 |
| ISSN | 0038-0938 |
| DOI | 10.1007/s11207-017-1236-7 |
| Indexed By | SCI |
| WOS ID | WOS:000426382300005 |
| Subtype | J |
| Abstract | 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). |
| Keyword | Sunspots, umbra Granulation Instrumentation and data management |
| WOS Keyword | FINE-STRUCTURE TELESCOPE ; SOLAR ADAPTIVE OPTICS ; LEVEL SET EVOLUTION ; SUNSPOT ; RECOGNITION ; CONTOURS ; AREAS |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.ioe.ac.cn/handle/181551/9373 |
| Collection | 自适应光学技术研究室（八室） |
| Recommended Citation 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| 2018-2140.pdf（2867KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | Application Full Text | |
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