Automated Segmentation of High-Resolution Photospheric Images of Active Regions

doi:10.1007/s11207-017-1236-7

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 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
刊名	SOLAR PHYSICS
	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
内容类型	期刊论文
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.