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Fast Thinning Algorithm based on Improved SOG (SOG)

机译:基于改进SOG(SOG)的快速稀疏算法

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We propose Improved Self-Organized Graph(Improved SOG: SOG) thinning method, which maintains excellent thinning results of Self-Organized Graph(SOG) built from Self-Organizing features Map and improves the performance of the existing SOG by using a new incremental learning method of Kohonen features map. In the experiments, this method shows the thinning results to be equal to those of SOG but the time complexity O((logM){sup}3) to be superior to that of SOG. Therefore, the proposed method is useful for the feature extraction from digits and characters in the preprocessing step.
机译:我们提出了改进的自组织图表(改进的SOG:SOG)稀释方法,其维持了自组织特征图构建的自组织图(SOG)的良好稀疏结果,并通过使用新的增量学习来提高现有索引的性能kohonen的方法图。在实验中,该方法显示稀疏结果等于SOG,但是时间复杂度O((logm){sup} 3)优于索曲。因此,所提出的方法对于预处理步骤中的数字和字符的特征提取是有用的。

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