AUTOMATIC DETECTION AND EXTRACTION ALGORITHM OF INTER-GRANULAR BRIGHT POINTS

AUTOMATIC DETECTION AND EXTRACTION ALGORITHM OF INTER-GRANULAR BRIGHT POINTS
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晶间亮点自动检测与提取算法

DOI:
10.5303/jkas.2012.45.6.167
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发表时间:
2012-12
影响因子:
1
通讯作者:
Fu, Xiao-dong
Fu, Xiao-dong
中科院分区:
物理与天体物理4区
文献类型:
--
作者:
Ji, Kai-fan;Deng, Hui;Wang, Feng;Fu, Xiao-dong

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米粒间亮点(igBPs)是太阳光球层中的小尺度物体,可以在黑暗的米粒间暗条中看到。我们提出了一种自动检测和提取米粒间亮点的新算法。拉普拉斯和形态学膨胀(LMD)技术
Inter-granular Bright Points (igBPs) are small-scale objects in the Solar photosphere which can be seen within dark inter-granular lanes. We present a new algorithm to automatically detect and extract igBPs. Laplacian and Morphological Dilation (LMD) technique is employed by the algorithm. It involves three basic processing steps: (1) obtaining candidate “seed” regions by Laplacian; (2) determining the boundary and size of igBPs by morphological dilation; (3) discarding brighter granules by a probability criterion. For validating our algorithm, we used the observed samples of the Dutch Open Telescope (DOT), collected on April 12, 2007. They contain 180 high-resolution images, and each has a 85 × 68 arcsec² field of view (FOV). Two important results are obtained: first, the identified rate of igBPs reaches 95% and is higher than previous results; second, the diameter distribution is 220 ± 25 km, which is fully consistent with previously published data. We conclude that the presented algorithm can detect and extract igBPs automatically and effectively.
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