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| 小波域多方向信息融合的纹理图像检索 | |
| 引用本文： | 姜琳,房斌,唐远炎,徐大园.小波域多方向信息融合的纹理图像检索[J].计算机工程,2010,36(5):215-217. |
| 作者姓名： | 姜琳 房斌 唐远炎 徐大园 |
| 作者单位： | 1. 重庆大学计算机学院,重庆,400030;武警贵州省总队训练基地,贵阳,550005 2. 重庆大学计算机学院,重庆,400030 |
| 基金项目： | 国家自然科学基金资助项目(60873092);;教育部新世纪优秀人才基金资助项目(NCET-06-0762);;教育部高等学校博士学科点专项科研基金资助项目(20060611009);;重庆市自然科学基金资助重点项目(CSTC2007BA2003) |
| 摘 要： | 由于能提供较多的方向信息，双树复小波变换在纹理图像检索中的检索率高于传统小波变换，但传统小波变换与双树复小波变换得到的方向子带不同。针对该问题，提出一种融合传统小波和双树复小波变换的一阶统计信息从而提取特征进行纹理图像检索的方法。对Brodatz图像库的仿真实验表明，该方法优于传统小波和双树复小波方法。 |
| 关 键 词： | 纹理图像检索 复小波变换 传统小波变换 Canberra距离 |
| 修稿时间： | |
Texture Image Retrieval by Multi-directional Information Fusion of Wavelet Domain |
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| JIANG Lin,FANG Bin,TANG Yuan-yan,XU Da-yuan.Texture Image Retrieval by Multi-directional Information Fusion of Wavelet Domain[J].Computer Engineering,2010,36(5):215-217. | |
| Authors: | JIANG Lin FANG Bin TANG Yuan-yan XU Da-yuan |
| Affiliation: | (1. College of Computer Science, Chongqing University, Chongqing 400030; 2. Training Base of Guizhou Division of Armed Police, Guiyang 550005) |
| Abstract: | Texture retrieval with Dual-Tree Complex Wavelet Transform(DTCWT) is effective to improve performance relative to conventional wavelet transform due to its multi-directional information. The conventional wavelet transform gives different directional information from DTCWT. Aiming at this problem, this paper proposes a texture image retrieval approach combining the DTCWT and the conventional wavelet transform to extract features. Experimental results on Brodatz database show that the proposed method has better performance than the DTCWT and the traditional wavelet transform. |
| Keywords: | texture image retrieval complex wavelet transform conventional wavelet transform Canberra distance |
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