徐州工程学院学报（自然科学版）2016，Vol.31Issue(4)：65-69,5.
基于小波方向波变换和灰度共生矩阵的纹理图像检索
Texture Image Retrieval Based on Wavelet-Directionlet Transform and GLCM
摘要
Abstract
For the problem of image feature extraction in texture retrieval,a method of texture image feature extraction is proposed based on Wavelet-directionlet transform and gray level concurrence matrix (GLCM)and applied to the texture image retrieval.Feature vector of texture image is constructed by cal-culating the mean and standard deviation of sub-bands after decomposing image by Wavelet-directionlet transform,and the mean of the angular second moment,contrast,correlation,entropy of the GLCM.Then the similarity measurement of average Euclidean with different weights is used for image retrieval.The ex-periments show that the method has a better retrieval accuracy,and average precision is greatly improved.关键词
图像检索/小波方向波变换/灰度共生矩阵/特征提取Key words
image retrieval/wavelet-directionlet transform/gray level concurrence matrix (GLCM)/feature extraction分类
信息技术与安全科学引用本文复制引用
张克军,窦建君..基于小波方向波变换和灰度共生矩阵的纹理图像检索[J].徐州工程学院学报（自然科学版）,2016,31(4):65-69,5.基金项目
国家自然科学基金项目(61201323) （61201323）
