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
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.
Key words：Spectral line extraction;Astronomical spectra;Feature constraint;Wavelet transform
刘蓉1,段福庆2*,刘三阳1. 基于特征约束的谱线自动提取[J]. 光谱学与光谱分析, 2007, 27(08): 1648-1652.
LIU Rong1,DUAN Fu-qing2*,LIU San-yang1. Auto-Extraction of Spectral Lines Based on Feature Constraints. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2007, 27(08): 1648-1652.
