计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (1): 11-13.DOI: 10.3778/j.issn.1002-8331.2010.01.004

• 博士论坛 • 上一篇    下一篇

小波-轮廓波纹理图像检索系统

陈新武1,2,田金文2   

  1. 1.信阳师范学院 物理电子工程学院,河南 信阳 464000
    2.华中科技大学 多谱信息处理技术国家重点实验室,武汉 430074
  • 收稿日期:2009-07-20 修回日期:2009-08-25 出版日期:2010-01-01 发布日期:2010-01-01
  • 通讯作者: 陈新武

Wavelet-contourlet texture image retrieval system

CHEN Xin-wu1,2,TIAN Jin-wen2   

  1. 1.College of Physics and Electronical Engineering,Xinyang Normal University,Xinyang,Henan 464000,China
    2.State Key Lab for Multi-Spectral Information Processing Technology,Huazhong University of Science Technology,Wuhan 430074,China
  • Received:2009-07-20 Revised:2009-08-25 Online:2010-01-01 Published:2010-01-01
  • Contact: CHEN Xin-wu

摘要: 针对轮廓波检索系统检索率较低、检索速度较慢等问题,提出一种小波-轮廓波纹理图像检索系统。该系统在最细节尺度子空间采用轮廓波变换,而在其他子空间采用小波变换,以变换域子带系数的能量和标准偏差序列作为特征向量,Canberra距离为相似度标准。采用Brodatz纹理数据库中的109幅640×640的纹理图像为实验对象,比较了基于同样架构的轮廓波变换和小波-轮廓波纹理检索系统的性能。实验结果表明:后者具有较高的检索率、较快的检索速度和较少的特征向量数据库存储空间。

关键词: 小波-轮廓波变换, 轮廓波变换, 纹理图像, 检索系统, 检索率

Abstract: Focusing on the problem of low retrieval rate and retrieval speed in contourlet retrieval systems,a wavelet-contourlet transform based texture image retrieval system is proposed.In the system,contourlet transform is carried out for most detailed sub-bands.Each sub-band energy and standard deviations in transform domain are cascaded to form feature vectors,and the similarity metric is Canberra distance.Comparison is made on contourlet and wavelet-contourlet transform retrieval systems through an experiment on 109 texture images with 640×640 pixels size from Brodatz album.Experimental results show that the latter one has advantages on retrieval rates,retrieval speed and storage room for feature vectors.

Key words: wavelet-contourlet transform, contourlet transform, texture image, retrieval system, retrieval rate

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