Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images

doi:10.1155/2019/2397536

CORC > 国家天文台 > 中国科学院国家天文台

	Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images
	Zhu, M.2; Liu, W.2; Wang, B. Y.2; Zhang, M. F.1; Tian, W. W.3; Yu, X. C.2; Liang, T. H.2; Wu, D.1; Hu, D.2; Duan, F. Q.2
刊名	ADVANCES IN ASTRONOMY
	2019
页码	11
ISSN号	1687-7969
DOI	10.1155/2019/2397536
英文摘要	Filaments are a type of wide-existing astronomical structure. It is a challenge to separate filaments from radio astronomical images, because their radiation is usually weak. What is more, filaments often mix with bright objects, e.g., stars, which makes it difficult to separate them. In order to extract filaments, A. Men'shchikov proposed a method getfilaments to find filaments automatically. However, the algorithm removed tiny structures by counting connected pixels number simply. Removing tiny structures based on local information might remove some part of the filaments because filaments in radio astronomical image are usually weak. In order to solve this problem, we applied morphology components analysis (MCA) to process each singe spatial scale image and proposed a filaments extraction algorithm based on MCA. MCA uses a dictionary whose elements can be wavelet translation function, curvelet translation function, or ridgelet translation function to decompose images. Different selection of elements in the dictionary can get different morphology components of the spatial scale image. By using MCA, we can get line structure, gauss sources, and other structures in spatial scale images and exclude the components that are not related to filaments. Experimental results showed that our proposed method based on MCA is effective in extracting filaments from real radio astronomical images, and images processed by our method have higher peak signal-to-noise ratio (PSNR).
资助项目	National Natural Science Foundation of China[41272359] ; Ministry of Land and Resources for the Public Welfare Industry Research Projects[201511079-02] ; Programs Foundation of Ministry of Education of China[20120003110032]
WOS关键词	COMBINING STAIRCASE REDUCTION ; DECOMPOSITION ; GALAXIES ; UNIVERSE
WOS研究方向	Astronomy & Astrophysics
语种	英语
出版者	HINDAWI LTD
WOS记录号	WOS:000471857700001
资助机构	National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Programs Foundation of Ministry of Education of China ; Programs Foundation of Ministry of Education of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Programs Foundation of Ministry of Education of China ; Programs Foundation of Ministry of Education of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Programs Foundation of Ministry of Education of China ; Programs Foundation of Ministry of Education of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Ministry of Land and Resources for the Public Welfare Industry Research Projects ; Programs Foundation of Ministry of Education of China ; Programs Foundation of Ministry of Education of China
内容类型	期刊论文
源URL	[http://ir.bao.ac.cn/handle/114a11/26544]
专题	中国科学院国家天文台
通讯作者	Yu, X. C.
作者单位	1.Natl Astron Observ China, Key Lab Opt Astron, Beijing, Peoples R China 2.Beijing Normal Univ, Coll Informat Sci & Technol, Beijing, Peoples R China 3.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Zhu, M.,Liu, W.,Wang, B. Y.,et al. Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images[J]. ADVANCES IN ASTRONOMY,2019:11.
APA	Zhu, M..,Liu, W..,Wang, B. Y..,Zhang, M. F..,Tian, W. W..,...&Duan, F. Q..(2019).Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images.ADVANCES IN ASTRONOMY,11.
MLA	Zhu, M.,et al."Extracting Filaments Based on Morphology Components Analysis from Radio Astronomical Images".ADVANCES IN ASTRONOMY (2019):11.