基于内容的小波变换图像检索方法  

Wavelet Transform Image Retrieval Method Based on Content

作　　者：李兰[1] 刘洋[1] 

机构地区：[1]青岛理工大学计算机工程学院,青岛266071

出　　处：《计算机科学》2015年第2期306-310,共5页Computer Science

摘　　要：传统的图像检索方法均是基于图像的局部特征的,忽略了图像整体特征。针对此问题,深入分析图像的整体特征,提出了一种基于局部特征和整体特征的混合方法来提取图像的内容。首先,采用平稳小波变换方法提取图像的水平、垂直和对角线的图像整体信息;其次,应用每个子矩阵的灰度共生矩阵提取图像的局部特征。根据局部特征和整体特征的联合特征描述,应用多模关联规则的数据挖掘方法对图像进行检索,并且其关联规则的主要决定参数为欧几里得距离。实验结果显示,所提出的基于内容的小波变换多模关联规则数据挖掘的图像检索方法相对于已有方案有较大的性能提升。Traditional image retrieval methods are based on the local characteristics of image,ignoring the overall image characteristics.Aiming at this problem,through in-depth analysis of the overall characteristics of the image,this paper proposed a hybrid method based on local features and global features to extract the image content.First of all,the method of stationary wavelet transform is used to extract the image of the horizontal,vertical and diagonal image overall information.Second,gray level co-occurrence matrix of each child matrix is used to extract the local characteristics of the image.According to the joint characteristics of local features and the overall description,multimode association rule data mining method is used for image retrieval,and its main decision parameters of association rules are the Euclidean distance.Experimental results show that the proposed image retrieval method of wavelet transform multimode association rule data mining based on the content has great performance improvement compared with the existing schemes.

关 键 词：内容图像检索 平稳小波变换 关联规则 数据挖掘 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]