关键词: 纹理分割, 特征提取, 对偶树复小波变换, 模糊C均值聚类, 隶属度函数

Abstract: A texture image fuzzy segmentation algorithm based on dual-tree complex wavelet transform is studied in this paper. Texture features of an image are extracted using dual-tree complex wavelet transform. The fuzzy C-means clustering algorithm is directly applied to the texture segmentation, but traditional membership function in fuzzy C-means clustering algorithm is designed based on the distance between a sample and its cluster center, which is irrational for dataset with non-spherical-shape distribution. So, the fuzzy connectedness among samples is introduced to modify the traditional membership function. Simulations are performed on the presented algorithm, and the simulation result shows that the presented algorithm not only has high accuracy of boundary locations but also has good region homogeneity.

Key words: texture segmentation, feature extraction, dual-tree complex wavelet transform, fuzzy C-means clustering, membership function