液晶与显示, 2016, 31 (3): 310, 网络出版: 2016-04-12
漂移扫描CCD星图的smear现象快速消除方法研究
Fast Smear effect removal algorithm of CCD drift-scan star image
摘要
在漂移扫描天文望远镜CCD相机系统中,为了有效去除CCD星图中smear现象,通过分析其成像机理,提出一种自适应快速smear现象消除算法。该算法在背景灰度均匀分布的基础上,通过计算并拟合每列像素灰度平均值,自适应选取最佳阈值,判断并消除smear现象。通过对实时同步卫星定轨系统拍摄的大小为1 528×1 528的星图进行处理,实验结果表明,拖尾被全部去除,背景均值差明显减小,处理时间约为传统的局部直方图高斯拟合smear去除算法所耗时间的20%,验证了该算法的有效性。
Abstract
To eliminate smear effect of star image taken by CCD drift scan mode, a self-adapting fast smear elimination algorithm is proposed after analyzing image mechanism. On the basis of even gray level distribution of background, smear effect can be removed by calculating and fitting gray mean of pixels in every column and determining adaptive threshold value. After processing star image taken by real-time synchronous satellite positioning system, the size of the star image is 1 528×1 528, the experiment results show that mean deviation of background is apparently reduced and the precision is promoted, the consuming time of the method is only 20% of median filtering and multi-threshold setting method’s, which proves validity.
柳红岩, 孙慧婷, 李岩, 武晓东. 漂移扫描CCD星图的smear现象快速消除方法研究[J]. 液晶与显示, 2016, 31(3): 310. LIU Hong-yan, SUN Hui-ting, LI Yan, WU Xiao-dong. Fast Smear effect removal algorithm of CCD drift-scan star image[J]. Chinese Journal of Liquid Crystals and Displays, 2016, 31(3): 310.