徐州工程学院学报：自然科学版2012，Vol.27Issue(1)：48-51,4.
基于Contourlet变换和不变矩的图像检索方法
The Method of Texture Image Retrieval Based on Contourlet Transform and Moment Invariants
摘要
Abstract
Taking advantage of the characteristics of good sparsity and effective capturing of the smooth contours in natural images of Contourlet transform,we have devised a new method of image retrieval based on Contourlet transform and moment invariants.After decomposing image by Contourlet transform,we have constructed feature vectors by calculating the entropy of high-frequency sub-bands and seven moment invariants of low-frequency sub-bands.The texture similarities of images were computed by the Euclidean＇s distance with different weights.The experiments show that the method has high precision rate and a good result has been obtained in image classification and retrieval.关键词
图像检索/Contourlet变换/不变矩/特征提取Key words
image retrieval/Contourlet transform/moment invariants/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Contourlet变换和不变矩的图像检索方法[J].徐州工程学院学报：自然科学版,2012,27(1):48-51,4.基金项目
徐州工程学院青年教师基金 （）
江苏省教育厅科研资助项目 （）
