首页 | 本学科首页   官方微博 | 高级检索  
     

基于EMD细化四元数谱的纹理分割
引用本文:崔峰,沈滨,彭思龙. 基于EMD细化四元数谱的纹理分割[J]. 计算机应用, 2005, 25(3): 573-576,585
作者姓名:崔峰  沈滨  彭思龙
作者单位:中国科学院,自动化研究所,北京,100080;中国科学院,自动化研究所,北京,100080;中国科学院,自动化研究所,北京,100080
基金项目:国家自然科学基金资助项目(60272042,10171007)
摘    要:提出一种基于EMD细化四元数谱的无监督纹理分割方法。创新之处在于:首先采用二维可分离EMD分解提高各图像成分的四元数Fourier频域特征的分离度;再使用四元数Gabor滤波器组进行解析特征提取;最后利用新的模糊C均值聚类评价函数实现无监督的纹理分割。实验结果证明了该方法的有效性。

关 键 词:纹理分割  四元数  EMD分解  Gabor滤波器  时频分析
文章编号:1001-9081(2005)03-0573-04

Texture segmentation using EMD refined quaternionic spectrum
CUI Feng,SHEN Bin,PENG Si-long. Texture segmentation using EMD refined quaternionic spectrum[J]. Journal of Computer Applications, 2005, 25(3): 573-576,585
Authors:CUI Feng  SHEN Bin  PENG Si-long
Abstract:This paper presented an unsupervised texture segmentation algorithm utilizing EMD(Empirical Mode Decomposition) refined quaternionic spectrum. The innovations include: first, 2-D separable EMD algorithm was utilized to enhance the separability of features in frequency-domain; second, a quaternionic Gabor filter bank was designed to extract analytic features; at last, a novel validity function of FCM(Fuzzy C-Means Clustering) was introduced to realize unsupervised texture segmentation. Experiment results indicate that this method explores a reasonable way to use EMD and quaternionic spectrum analysis in image processing.
Keywords:texture segmentation  quaternion  EMD(Empirical Mode Decomposition)  Gabor filter  time-frequency analysis
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号