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ICA系数的高阶统计特征在纹理分类中的应用*

, PP. 499-505

Keywords: 纹理分类,独立成分分析(ICA),高阶统计特征,,L-矩

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Abstract:

根据独立成分分析系数满足非高斯分布的特点,研究高阶统计量在特征提取中的作用.提出利用方差、偏度、峭度的联合矩描述系数的分布特征,应用于纹理分类时取得较好效果.在矩估计时进一步提出利用L-矩代替常规矩进行估计,获得更好的纹理分类效果.

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