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基于先验阈值面的夜空云图分割算法

, PP. 604-608

Keywords: 云检测,多项式拟合,先验阈值

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Abstract:

夜空背景易受到大气污染、月光及黄道带光等影响,导致云图变化较大。传统阈值法仅利用像素点灰度值及相应的邻域信息,难以准确分割背景变化较大且灰度不均匀的云图。文中对大量云图统计分析,发现夜空云图的两个先验特征,提出一种基于先验阈值面的云分割算法。首先根据先验特征分割出可信的背景区域,再根据背景区域进行多项式拟合得到一个随图像区域信息变化的阈值面,阈值面上的各个值介于目标和背景之间,从而可将云从背景分割出来。实验证明,相对于传统的单阈值算法,本文算法分割精确度更高,应用范围更广,尤其对受干扰的云图有更好的分割效果。

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