Image Retrieval Based on Wavelet Using Multiple Features

GAO Yan; HU Xue-long; LI Ling; DING Ning

Chinese

您当前的位置：

首页 >

文章列表页 >

Image Retrieval Based on Wavelet Using Multiple Features

更新时间：2026-09-04

- Image Retrieval Based on Wavelet Using Multiple Features
- Vol. 27, Issue 4, Pages: 21-24(2010)
- 作者机构：
  
  1. 南京信息职业技术学院机构电子信息学院,江苏,南京,210046
  2. 扬州大学机构信息工程学院,江苏,扬州,225009
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
高燕, 胡学龙, 李玲, 丁宁. 基于小波多尺度分析的综合特征图像检索[J]. 微电子学与计算机, 2010, 27(4): 21-24,28.

GAO Yan, HU Xue-long, LI Ling, et al. Image Retrieval Based on Wavelet Using Multiple Features[J]. 2010, 27(4): 21-24.
高燕, 胡学龙, 李玲, 丁宁. 基于小波多尺度分析的综合特征图像检索[J]. 微电子学与计算机, 2010, 27(4): 21-24,28. DOI：

GAO Yan, HU Xue-long, LI Ling, et al. Image Retrieval Based on Wavelet Using Multiple Features[J]. 2010, 27(4): 21-24. DOI：

摘要

以整数小波变换为基础

提出了一种综合颜色和空间特征的图像检索算法.该算法首先对图像做整数小波变换

提取其低频系数矩阵中环形区域的F-范数作为颜色特征;然后对低频分量分块并编码

利用马尔可夫链特性提取一步转移概率矩阵作为空间特征;再综合利用上述两个特征计算图像间的相似度

并进行彩色图像检索.通过对不同类型图像的检索对比实验结果表明

这种图像检索方法是行之有效的.

Abstract

According to the integer wavelet transform

a new method of content-based image retrieval is presented

which integrates color and spatial features. Firstly

the circular region F-norms in low frequency band of integer wavelet transform are extracted as color feature. Secondly

low frequency band of integer wavelet transform is segmented into blocks and encoded

the transition probability matrix utilizing characteristic of Markov chain is as spatial information. Finally

the similarities between color images are computed by using a combined index based on color feature and spatial feature. Through the comparative experiment on the image retrieval over various images

the results show that this representation of image is feasible and valid in image retrieval.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A high-efficiency charge pump for ultra-low voltage boost systems

Microservices anomaly detection based on the correlation of monitoring metrics

Research on assembly action recognition based on MSS-YOLO-MPHands fusion architecture

Aerial small object detection algorithm based on improved RT-DETR

A review of large model development: technological evolution from BERT to Deepseek

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰