多尺度Gabor小波变换在图像检索中的应用

›› 2011, Vol. 24 ›› Issue (8): 61-.

多尺度Gabor小波变换在图像检索中的应用

朱明忠

(西安电子科技大学电子工程学院,陕西西安 710071)

出版日期:2011-08-15 发布日期:2011-08-19
作者简介:朱明忠(1984—),男,硕士研究生。研究方向:数字图像处理,图像检索。

Application of Multi-scale Gabor Wavelet Transform in Image Retrieval

ZHU Ming-Zhong

(School of Electronic Engineering,Xidian University,Xi'an 710071,China)

Online:2011-08-15 Published:2011-08-19

摘要/Abstract

摘要：

在基于内容的图像检索中,纹理特征是一种重要而又难以描述的特征。为提高图像检索中纹理特征的提取效率,通过对Gabor滤波器滤波特点的研究,提出一种基于多尺度Gabor小波纹理的图像检索方法。设计了一组具有多种尺度和多个方向的滤波器组,选择并优化滤波器组的各参数,对图像进行滤波和特征提取。设计并实现了一个基于Gabor纹理特征的图像检索原型系统。最后利用所获得的纹理特征对图像库进行检索。实验结果表明,多尺度Gabor小波变换是一种有效的纹理特征提取方法。

关键词: 多尺度Gabor小波变换, 纹理特征提取, 图像检索

Abstract:

Texture is a very important feature in content-based image retrieval,which is difficult to describe.To improve the efficiency of texture feature extraction in image retrieval,the structure of Gabor filter banks is studied,and an approach to texture images retrieval based on multi-scale Gabor wavelets transform is proposed.A group of Gabor filters with multi-scale and multiple directions is designed,and the parameters are optimized before image filtering and feature extraction.An image retrieval system based on Gabor texture feature is designed,and some image retrieval experiments are curried.The results show that this method based on multi-scale Gabor transformation has an excellent performance on texture extraction.

Key words: multi-scale Gabor wavelet transform;texture feature extraction;image retrieval

中图分类号:

TP391.4

朱明忠. 多尺度Gabor小波变换在图像检索中的应用[J]. , 2011, 24(8): 61-.

ZHU Ming-Zhong. Application of Multi-scale Gabor Wavelet Transform in Image Retrieval[J]. , 2011, 24(8): 61-.

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