为进一步进行纹理特征分析，从纹理的方向性人手，给出了纹理方向的数学定义式，合理选择差异函数，

构造了具有物理意义的纹理方向描述特征向量．数据处理方面，运用模糊贴近度的概念，结合改进后的属性均值聚

类算法，对一类具有方向性的纹理图象进行分类与分割实验，取得了较好的结果．试验表明，该方法对纹理的方向

性有很好的描述能力．

关键词 图象分割 纹理方向 纹理分割 神经网络 模糊聚类

-Texture features for further analysis, staff from the texture direction, given the direction of the mathematical definition of texture type, a reasonable choice of the difference function, structure with a physical meaning to describe the direction of the texture feature vector. Data processing, the use of the concept of fuzzy nearness degree, combined with improved properties means clustering algorithm for a class of directional texture image classification and segmentation experiments, achieved good results. Tests show that the method of directional texture has a good descr iption of the capacity. Keywords Image segmentation, texture segmentation texture direction fuzzy clustering neural network相关搜索： 纹理分割
image
feature
vector
模糊聚类
纹理
分割
texture
segmentation
均值聚类
图像
texture
纹理特征
feature
特征向量
训练
分类