Texture Image Retrieval Based on Wavelet-Directionlet Transform and GLCM
ZHANG Kejun
DOU Jianjun
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.
Keywords：image retrievalwavelet-directionlet transformgray level concurrence matrix (GLCM)feature extraction
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 65-69 )