液晶与显示2017，Vol.32Issue(9)：755-763,9.DOI:10.3788/YJYXS20173209.0755
基于分块颜色直方图和GWLBP的图像检索算法
Image retrieval algorithm based on block color histogram and GWLBP
摘要
Abstract
In order to improve the effect of multi-feature fusion image retrieval,this paper proposed a kind of image retrieval algorithm based on block color histogram and GWLBP.By means of K-means mean value clustering,the algorithm implemented color clustering on RGB color space;then,it divid-ed 4×4 uniformed block image into 9 sub-blocks to extract color volume histogram of each sub-block and endow different weights so as to calculate color features.Based on Gabor filter bank,the smoot-hing in various resolutions as well as directions were conducted on input image;later,the comparison of mean values between local filter output results and overall filter output results in different directions was carried out with threshold.On this basis,three kinds of GWLBP operators were pro-posed to extract textural features.Finally,Gaussian normalization was implemented on image color as well as textural features;weighted average was applied to integrate feature distance between color and texture.The experimental simulation indicated that,compared with other three algorithms,this algo-rithm carries higher recall ratio and precision in normal images and those with rotation inclination.关键词
图像检索/颜色聚类/分块颜色直方图/局部Gabor二元模式(GWLBP)/Gabor小波滤波器Key words
image retrieval/color clustering/block color histogram/local gabor wavelets binary pat-terns/gabor wavelet filter分类
信息技术与安全科学引用本文复制引用
陈璐宇,周春艳..基于分块颜色直方图和GWLBP的图像检索算法[J].液晶与显示,2017,32(9):755-763,9.基金项目
国家自然科学基金(No.61462013) Supported by National Natural Science Foundation of China(No.61462013) （No.61462013）
