Texture Classification Based on Nonsubsampled Directional Filter Banks and Support Vector Machines

摘要

Multiscale decomposition of the source images is performed with stationary wavelet combining multiscale of wavelet transform and multidirection of Contourlet transform. Then,Directional decomposition of the high-frequency subbands in every scale is also made with nonsubsampled directional filter banks. Finally, Texture feature is extracted based on this and support vector machines are used to the texture classification. The experiment results show the proposed method can get more results for texture classification.