基于尺度相关性的旋转不变纹理图像渐进式检索算法  

Progressive rotation-invariant texture retrieval based on inter-scale dependency model

作　　者：朱先强[1] 邵振峰[1] 王星[2] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,武汉430079 [2]武汉大学遥感信息工程学院,武汉430079

出　　处：《中国图象图形学报》2011年第8期1444-1450,共7页Journal of Image and Graphics

基　　金：国家重点基础研究计划(973)项目(2010CB731800);国家高技术研究发展计划(863)项目(2009AA121404);国家自然科学基金项目(40801165和10978003);武汉大学优秀博士学位论文培育基金项目;"武汉大学2008年博士研究生(含1+4)自主科研项目

摘　　要：在常用的基于小波变换域旋转不变纹理图像检索算法中,由于存在方向信息提取有限且多尺度间系数相关性被忽略的局限性,检索效率受到影响。提出一种基于尺度相关性的渐进式旋转不变纹理图像检索算法。该算法首先采用Log-polar变换与非下采样Contourlet变换组合的方式获取具备旋转不变性的多尺度多方向变换系数,然后利用广义高斯模型拟合低通波段的全局结构信息作为粗判依据,方向子带间的尺度相关信息则采用非高斯双变量模型拟合,并作为精细渐进式检索的特征变量。基于Brodatz标准纹理库的实验结果表明,与小波变换及基于层内关系模型方法相比,该方法能以更低的特征维数获得更高的检索效率及检索准确率,是一种进行旋转纹理检索的有效手段。During the traditional wavelet rotation-invariant texture retrieval algorithms, the extracted directional information is limited and the inter-scale dependency between the coefficients is ignored, which affects the efficiency of retrieval. In this paper, the authors propose a novel progressive rotation-invariant texture retrieval algorithm based on inter-scale dependency. Firstly, Log-polar transform and Non-subsample Contourlet transform （NSCT） are combined to acquire rotation-invariant multi-scale and multi-orientation coefficients, then generalized Ganssian distribution （GGD） model is used to extract the global structure information from low-pass coefficients which can be employed further as coarse retrieval features. Afterwards, the Non-Gaussian Bivariate Model is employed to model NSCT coefficients inter-scale dependency, which can be used as fine progressive retrieval foundations. Finally, the performance of the algorithm proposed is illustrated by experiments based on Brodatz standard texture database. Compared to inner-scale model GGD based on wavelet coefficients retrieval algorithm, our method provides better efficiency and accuracy, which is proved to be an efficient rotation-invariant texture retrieval means.

关 键 词：尺度相关性 旋转不变纹理检索 双变量模型 Log—polar变换 非下采样CONTOURLET变换 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]