Abstract: 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 methodof 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 ima-ge.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.

Key words: Content based image retrieval,Stationary wavelet transform,Association rules,Data mining