计算机工程与应用2011，Vol.47Issue(26)：162-166,231,6.DOI:10.3778/j.issn.1002-8331.2011.26.045
基于改进Contourlet变换的纹理图像混合检索方法
Hybrid retrieval method of texture images based on improved contourlet transform
摘要
Abstract
Contourlet transform has been widely applied to texture analysis due to its providing rich directional information. In this paper, an improved contourlet transform which has sharply localized basis images in the frequency domain is applied for texture image retrieval.Its directional subband coefficients are modeled as Generalized Gaussian Distribution (GGD), and the distribution parameters are used as the features of texture image retrieval, which are estimated by using an improved maximum likelihood method.The texture images are divided into the structured and random texture images based on Shannon entropy measurement,and a novel hybrid retrieval scheme based on energy feature and GGD parameters is proposed.Ex-perimental results based on the VisTex database with 640 texture images show that, compared with the method based on the discrete wavelet transform,the average retrieval rate is improved from 76.57% to 83.55%.关键词
Contourlet变换/纹理图像检索/广义高斯分布/参数估计Key words
Contourlet transform/texture image retrieval/generalized Gaussian distribution/parameter estimation分类
信息技术与安全科学引用本文复制引用
曲怀敬,齐志强,吴延荣..基于改进Contourlet变换的纹理图像混合检索方法[J].计算机工程与应用,2011,47(26):162-166,231,6.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.30870666). （the National Natural Science Foundation of China under Grant No.30870666）
