Abstract: For improving the performance of image retrieval systems,feature extraction and similarity measurement are used jointly.In this paper,a method of texture image retrieval which is based on hybrid modeling in the pyramid dual-tree directional filter bank(PDTDFB) is proposed.First,coefficients of the high frequency subbands are modeled as generalized Gaussian distribution,and the magnitude coefficients of the complex directional bandpass subbands are modeled as Weibull distribution.The parameters are estimated by an improved maximum likelihood method.Then,the texture images of the VisTex and Brodatz databases are retrieved respectively based on a new similarity measurement.Accordingly the image subsets similar to the query images are selected.The experimental results demonstrate that the proposed method can improve the average retrieval rate of the texture images effectively,comparing with the approaches using the single statistical modeling.