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基于改进的小波变换和模糊核聚类的纹理分割
引用本文:任竞颖. 基于改进的小波变换和模糊核聚类的纹理分割[J]. 价值工程, 2011, 30(31): 96-97
作者姓名:任竞颖
作者单位:商丘师范学院,商丘,476000
基金项目:河南省科学技术厅基础与前沿技术研究计划项目(102300410242)
摘    要:
提出了一种基于改进的小波变换和模糊核聚类的纹理分割方法。该方法首先用改进的离散小波变换进行纹理特征提取。然后用模糊核聚类方法对特征空间的每个像素进行聚类以实现对纹理的分割。实验结果表明所提算法有很好的分割结果。

关 键 词:纹理图像  小波变换  特征提取

Texture Segmentation Algorithm Based on Modified Wavelet Transform and Fuzzy Kernel Clustering
Ren Jingying. Texture Segmentation Algorithm Based on Modified Wavelet Transform and Fuzzy Kernel Clustering[J]. Value Engineering, 2011, 30(31): 96-97
Authors:Ren Jingying
Affiliation:Ren Jingying (Shangqiu Teachers College,Shangqiu 476000,China)
Abstract:
A texture segmentation algorithm based on modified wavelet transform and fuzzy kernel clutreing is studied in this paper.Firstly,a texture feature extraction algorithm based on the modified discrete wavelet transform is proposed.And then,the clustering effect is given by use of the fuzzy kernel clustering algorithm in the feature space.At last,simulations are performed on the presented algorithm,and the simulation result shows that the presented algorithm performs better in segmentation effect.
Keywords:itexture image  wavelet transform  feature extraction  
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