关键词: 纹理分割, 方位特征, 加权模糊C均值聚类算法, 纹理能量

Abstract: Aiming at the weak regularity of natural texture，a weighted FCM texture segmentation method combined with statistical analysis of images grey distribution and texture energy is proposed in this paper.In the method，three position features such as horizontal position，vertical position and radial distance are attempted to adopt.The experiments show that weighted FCM clustering algorithm is simple，effective，controllable and good segmentation result.The weighted position features of samples can effectively improve the convergent validity of region segmentation，thus improve the segmentation precision of texture especially the uneven and rough texture.

Key words: texture segmentation, position feature, Weighted Fuzzy C-Means（WFCM）, texture energy