Texture image classification is a very hot research topic. A texture image classification method based on the Contourlet Transform (CF) and Biomimetic Pattern Recognition (BPR) is proposed while introducing some prevailing classification methods. In this method, the Contourlet Tranform that obtains the inner characteristics of images is applied to extract the energy feature, and then the texture images are recognized  using the BPR algorithm. The Vistex image database is used in the simulation experiment. The experimental results show that the combination of CF and BPR improves the texture image recognition rate effectively, and the best recognition rate attains 100%.