Inspired by the directional and phase characteristics of textures，a novel texture image segmentation approach based on dual tree contourlet transform is proposed.Dual tree contourlet is constructed by the pyramidal dual-tree directional filter bank,it not only maintains the flexibility direction selectivity of the contourlet transform,overcomes the limitation of traditional contourlet which namely lack of shift invariance but also provides complex subband coefficients．The proposed scheme using the energy of each directional subbands as the directional features,and defining the mean phase angle of complex coefficents as the phase features for segmentaion.Finally,the fuzzy C-means clustering method is used to complete the texture image segmentation．Experiment results demonstrated,the phase features are complementary to the directional features; compared with a typical traditional method，the present approach shows visible improvements both in diminishing segmentation error，and in increasing boundary precision and region harmony.