计算机工程与应用2012，Vol.48Issue(14)：171-174,4.DOI:10.3778/j.issn.1002-8331.2012.14.036
基于对偶树复小波变换的模糊纹理分割
Texture image fuzzy segmentation algorithm based on dual-tree complex wavelet transform
摘要
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.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Key words
texture segmentation/ feature extraction/ dual-tree complex wavelet transform/ fuzzy C-means clustering/ membership function分类
信息技术与安全科学引用本文复制引用
侯艳丽,杨国胜..基于对偶树复小波变换的模糊纹理分割[J].计算机工程与应用,2012,48(14):171-174,4.基金项目
河南省科技厅基础与前沿技术研究基金(No.102300410257) （No.102300410257）
河南省科技厅科技攻关研究基金(No.112102210210) （No.112102210210）
河南省教育厅自然科学研究基金(No.2010A510009). （No.2010A510009）
