基于改进BEMD和灰度级共生模型的纹理分析

该文提出了一种基于BEMD和灰度共生模型的纹理分析。EMD是针对非线性和非平稳数据的分析而提出的新方法[1]。Nunes[2]等人将一维EMD思想应用于二维图像处理中,提出了BEMD。尝试改进了这种分解方法。通过插入径向基函数寻找极值点,修改了原始筛选方法通过插入共生矩阵得到的标准进行纹理分解。

Texture Analysis Based on the BEMD and Gray-Level CO-occurrence Models

We present a texture analysis algorithm based on Gray-Level Co-occurrence model and Bidimensional Empirical Mode Decomposition of a texture field.The EMD is a new method to analysis non-linear and non-stationary data[1].Nunes[2]present BEMD by take the idea of 1-D EMD to 2-D.We try to improved this method.The sifting process is realized using morphological operators to detect regional extrema and thanks to radial basis functions(RBF),We modified the original sifting process to permit a texture decomposition...