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基于分形协方差函数的自然纹理描述与分类

王华 王祁

王华, 王祁. 基于分形协方差函数的自然纹理描述与分类[J]. 北京航空航天大学学报, 2005, 31(05): 504-507.
引用本文: 王华, 王祁. 基于分形协方差函数的自然纹理描述与分类[J]. 北京航空航天大学学报, 2005, 31(05): 504-507.
Wang Hua, Wang Qi. Fractal-based covariance function description and classification of natural texture images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 504-507. (in Chinese)
Citation: Wang Hua, Wang Qi. Fractal-based covariance function description and classification of natural texture images[J]. Journal of Beijing University of Aeronautics and Astronautics, 2005, 31(05): 504-507. (in Chinese)

基于分形协方差函数的自然纹理描述与分类

详细信息
  • 中图分类号: TP 391

Fractal-based covariance function description and classification of natural texture images

  • 摘要: 研究了自然纹理图像的描述与分类的方法,提出了基于分数布朗运动模型及其协方差函数的方法.分数布朗运动的协方差函数被用来估计自然纹理特征的Hurst系数和常数k.2个子图像的5个特征组成10个特征的特征集.与直接从原始纹理图像获得特征矢量不同,该方法的10个特征矢量是分别基于大于图像灰度平均值的图像和小于图像灰度平均值的图像得到的.以纹理图像的平均值为阈值,可以得到2幅子纹理图像.从每个子纹理图像提取出5个特征,它们分别是横向、纵向和45°方向的常数,横向和纵向距离为2的Hurst系数.2个子纹理的5个特征组成10个特征的特征集.从Brodatz纹理集选出的16种纹理图像被用来检验描述和分类效果,分类结果显示该方法具有很好的自然纹理的描述和分类能力.

     

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出版历程
  • 收稿日期:  2003-11-17
  • 网络出版日期:  2005-05-31

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