研究了灰度共生矩阵和分形维特征相结合的综合特征,并将其应用于文物图像处理,实验表明基于该综合特征的分类优于基于单一特征的分类。
A combination of GLCM (Gray Level Co-occurrence Matrix) and Fractal features has been used: With the result of experiment we conclude that the combination feature is better than single feature.
研究了灰度共生矩阵和分形维特征相结合的综合特征,并将其应用于文物图像处理,实验表明基于该综合特征的分类优于基于单一特征的分类。
A combination of GLCM (Gray Level Co-occurrence Matrix) and Fractal features has been used: With the result of experiment we conclude that the combination feature is better than single feature.
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