光谱学与光谱分析 |
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Auto-Extraction of Spectral Lines Based on Feature Constraints |
LIU Rong1,DUAN Fu-qing2*,LIU San-yang1 |
1. Department of Mathematics,Xi’an University,Xi’an 710071,China 2. College of Information Science and Technology,Beijing Normal University,Beijing 100875,China |
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Abstract By using single thresholding or local thresholding in spectral line recognition,nearly all methods for spectral line auto-extraction have the defect that there are many pseudo spectral lines or some spectral lines are lost. The present paper uses two feature constraints in spectral line recognition. The first constraint is that the central intensity of a spectral line must be higher than both the lower global threshold and the local threshold,and the point where the intensity is higher than both the upper global threshold must be on a certain spectral line. The second one is that the intensities at initial position and end position of a spectral line must be lower than its central intensity. The two feature constraints play a key role in improving the quality of spectral line extraction. Experiments show that this method is superior to the techniques used in the literature.
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Received: 2006-05-15
Accepted: 2006-08-16
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Corresponding Authors:
DUAN Fu-qing
E-mail: fqduan@bnu.edu.cn
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Cite this article: |
LIU Rong,DUAN Fu-qing,LIU San-yang. Auto-Extraction of Spectral Lines Based on Feature Constraints[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1648-1652.
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https://www.gpxygpfx.com/EN/Y2007/V27/I08/1648 |
[1] Qin D,Hu Z,Zhao Y. Proceedings of SPIE,2001,4552: 268. [2] Weinstein M A,Richards G T,Schneider D P,et al. APJS,2004,155: 243. [3] Zhang Y,Zhao Y. Astronomy and Astrophysics,2004,422(3): 1113. [4] Glazebrook K,Offer A R,Deeley K. Astrophysical Journal,1998,492: 98. [5] Tonry J,Davis M. The Astronomical Journal,1979,84(10): 1511. [6] DUAN Fu-qing,WU Fu-chao,LUO A-li,et al(段福庆,吴福朝,罗阿理,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(11): 1895. [7] HUANG Ling-yun,HU Zhan-yi(黄凌云,胡占义). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2003,23(1): 187 [8] Duan F,Wu F. LNCS3686,2005,529. [9] ZHAO Rui-zhen,LUO A-li(赵瑞珍,罗阿理). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(3): 587. [10] LUO A-li,ZHAO Yong-heng(罗阿理,赵永恒). Acta Astrophysica Sinica(天体物理学报),2000,20(4): 427. [11] ZHAO Rui-zhen,HU Zhan-yi,ZHAO Yong-heng (赵瑞珍,胡占义,赵永恒). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(1): 153. [12] DUAN Fu-qing,WU Fu-chao,LUO A-li,et al(段福庆,吴福朝,罗阿理,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(11): 1884. [13] LIU Rong,LIU San-yang,ZHAO Rui-zhen(刘 蓉,刘三阳,赵瑞珍). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2006,26(3): 583. [14] LIU Rong,DUAN Fu-qing,LUO A-li(刘 蓉,段福庆,罗阿理). Spectroscopy and Spectral Analysis(光谱学与光谱分析),2005,25(7): 1155. [15] LIU Rong,DUAN Fu-qing,LIU San-yang,et al(刘 蓉,段福庆,刘三阳,等). Journal of Electronics & Information Technology(电子与信息学报),2006,28(2): 312. [16] Donoho D L. IEEE Trans. on IT. 1995,41(3): 613. |
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