基于频谱滤波的多纹理提取算法  

Multi-texture Extraction Method Based on Frequency Spectrum Filtering

作　　者：黄战华[1] 刘正[1] 罗文斌[1] 蔡怀宇[1] 张尹馨[1] 杨基春[1] 

机构地区：[1]天津大学精密仪器与光电子工程学院光电信息技术科学教育部重点实验室,天津300072

出　　处：《光电工程》2008年第8期51-55,共5页Opto-Electronic Engineering

基　　金：国家支撑计划资助项目(2007BAF14B03)

摘　　要：研究了一种在有多种纹理叠加的复杂图像中进行单一纹理提取的算法。首先采用极坐标方法分析纹理频谱的环型和楔型特征并求出纹理分布的周期和方向特征;然后根据这些特征在频域中构建环型和楔型Gauss带通滤波器对纹理频谱进行滤波;再将滤波后的频谱图像转换到时域中就得到了只保留相应纹理成分的图像;最后经过纹理区域矫正处理后就可以提取出真实的纹理。实验结果表明,该方法可以准确提取出图像中叠加的多种纹理,并能完整保留每种纹理的基本特征,在纹理分布不均匀的区域也能提取出纹理的骨架。A new algorithm was proposed for extracting texture in complex multi-texture images. Firstly, polar coordinates method was used to analyze wedge and ring characters of texture frequency spectrum, and the period and directional parameters of texture distribution were computed. Secondly, based on these characters, ring and wedge Gauss pass-band filter banks were constructed to filter the frequency spectrum of multi-texture image. Thirdly, components of corresponding texture were acquired by transforming the filtered frequency spectrum image to time domain image. Lastly, through the rectification of texture area and corresponding post-processing, the true texture was extracted. The experimental results show that each texture is extracted truly and the elemental character is preserved exactly, and even in the area where distribution of texture is non-uniform, the skeleton of texture is still extracted truly.

关 键 词：多纹理提取 极坐标方法 频谱滤波 Gauss带通滤波器 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]