Texture is an image feature which reflects the pixel spatial distribution property and has become important means in image analysis. In the field of image retrieval, due to the directional wavelet transformation, local characteristics and multi-scale features can make the texture feature of image get better representation. Local binary pattern is an effective tools for extract texture characteristics of images and have rotation invariance and gray scale invariance. This paper uses Bubble wavelet which has good performance to do the image dyadic wavelet transformation. Four sub-band images are got. The low frequency sub-band contains maximum art-work informations. The diagonal directional graph contains minimum informations. The other two graphs contain informations between the max and the min. Hence, low frequency, vertical and horizontal high frequency image are to be selected first. Then, by means of the uniform local binary pattern, the three texture components of image are extracted, and the image retrieval proceeded. The experimental results show that the algorithm not only effectively combines the advantages of wavelet and local binary pattern, and also has better retrieval performance.