基于曲波的纹理图像检索系统的设计与实现
收稿日期: 2010-09-03
修回日期: 2010-12-20
网络出版日期: 2011-03-25
基金资助
温州市科技合作项目（H20090045）;陕西省科技计划项目（2009k0208）;陕西省教育厅专项科 研计划项目（2010JK421）;陕西科技大学自然科学基金
Design and Implementation of a Texture Image Retrieval System Based on Curvelets
Received date: 2010-09-03
Revised date: 2010-12-20
Online published: 2011-03-25
李健,牛振山 . 基于曲波的纹理图像检索系统的设计与实现[J]. 计算机工程与科学, 2011 , 33(3) : 62 -66 . DOI: 10.3969/j.issn.1007130X.2011.
In order to manage and query massive images, there is an urgent need for a content
based image retrieval system with high retrieval rates. This paper proposes an image retrieval
method based on curvelet transform and integrated Shannon entropy and frequency subband
energy features. This method uses the Shannon entropy to preclassify data, adopts the energy
subband features to measure image similarity, and joins the feedback information of
searchers to achieve accurate image retrieval. The retrieval experimental results conducted
on the Brodatz texture image database show that the system has a high retrieval rate and a
certain practical value.
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