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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 PublicationSOLAR PHYSICS
Volume293Issue:2Pages:15
2018-02-01
Language英语
ISSN0038-0938
DOI10.1007/s11207-017-1236-7
Indexed BySCI
WOS IDWOS:000426382300005
SubtypeJ
AbstractDue 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).
KeywordSunspots, umbra Granulation Instrumentation and data management
WOS KeywordFINE-STRUCTURE TELESCOPE ; SOLAR ADAPTIVE OPTICS ; LEVEL SET EVOLUTION ; SUNSPOT ; RECOGNITION ; CONTOURS ; AREAS
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://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.
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