基于形状信息和最大相似性区域合并准则的极光卵分割算法

来源 :2013中国极地科学学术年会 | 被引量 : 0次 | 上传用户:TIGERKING2009
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  极光卵的分割对极光活动的研究有重要的意义。本文提出了一种基于形状信息和最大相似性区域合并准则的极光卵分割算法。首先,采用K均值聚类算法标记极光卵和背景区域中的点,用这些标记来引导最大相似性区域合并算法以得到初始分割结果。然后采用直接最小二乘椭圆拟合算法将初始分割区域边界上的点拟合为一个椭圆,将椭圆上的点作为调整后的极光卵标记。最后,再次运用最大相似性区域合并算法得到最终的分割结果。实验结果表明本文算法能很好的分割出极光卵。利用本文分割结果可以计算出极盖区域面积,该面积与磁通量相关,从而为进一步的极光活动研究工作奠定基础。
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