[Mean shift based auto-extraction of spectral lines for non-emission-line objects].
The mean shift algorithm is used. At first, the property that mean shift vectors always point toward local maxima of the density is used to get the pseudo continuum; secondly, mean shift filtering is a goodedge preserving smoothing, which canadaptively reduce the amount of smoothing near feature spectral lines, so the authors use mean shift filtering in noise reduction after the noramalization of continuum spectra; finally, the authors extract feature spectral lines by setting local thresholds. The experiments on both stars and normal galaxies show that our method can extract spectral lines accurately, which is helpful to the parameter measure and the automatic classification of spectra based on spectral lines.
Duan
Fu-qing
FQ
National Laboratory of Pattern Recognition, Institute of Automnation, Chinese Academy of Sciences, Beijing 100080, China.
Wu
Fu-chao
FC
Luo
A-li
AL
Zhao
Yong-heng
YH