基于快速小波包直方图技术的图像检索算法  

A Novel Image Retrieval Algorithm Based on Fast Wavelet Packet Histogram Techniques

作　　者：曾智勇[1] 周利华[1] 吴成柯[1] 

机构地区：[1]西安电子科技大学多媒体研究所计算机网络与信息安全教育部重点实验室,西安710071

出　　处：《计算机科学》2006年第10期213-215,共3页Computer Science

基　　金：国家自然科学基金重大计划项目(90204012);国家"863"计划项目(2002AA143021);十五国防科技(电子)预研项目(413160501)。

摘　　要：提出了一种基于快速小波包直方图技术的图像检索新算法。此方法主要有图像的小波包分解,最主要能量频带的选择和小波包直方图的抽取及相似性度量三个步骤。首先,用一族正交小波基分解一幅图像并用小波包系数计算各个频带的能量;其次,选择几个最主要能量频带进行阈值化和非线性滤波;最后,抽取小波包直方图作为特征表示并应用直方图相交距离从图像数据库中检索被查询图像。由于该方法在特征抽取中应用较小的特征空间,因此需要较小的计算复杂性。实验结果表明,这些技术在图像检索中可以获得更好的性能。A novel image retrieval algorithm based on fast wavelet packet histogram techniques is presented. The algorithm consists of three steps： wavelet packet decomposition, most dominant energy channels selection, wavelet packet histogram extraction and similarity measurement. Firstly, an image is decomposed by a family of real orthonnormal wavelet bases and the energy is computed using wavelet packet coefficients. Secondly, few number of most dominant energy channels are selected for thresholding and non-linear filtering. Finally, the wavelet packet histogram is computed as feature signatures and histogram intersection distance is employed to retrieval queried image from image databases. The proposed method employes a smaller feature space and involves as less computation cost in the feature extraction. The experimental results show that these techniques can archive higher performance in the image retrieval.

关 键 词：图像检索 主要能量频带 小波包直方图 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]