Texture classification based on stationary wavelet transform and nonsubsampled directional filter banks
基于离散平稳小波和非下采样方向滤波器组的纹理分类

This paper proposed a new method for texture classification based on SWT-NSDFB,with the combination of multiscale of wavelet transform and multidirection of Contourlet transform.Firstly, performed multiscale decomposition of the source images with stationary wavelet. Also made directional decomposition of the high-frequency subbands in every scale with nonsubsampled directional filter bands. Secondly,took the energy measures of all the subbands including one lowpass band and every directional subband in each level as the texture feature.Finally, used support vector machines to the texture classification. The experiment results show the proposed method can get more results for texture classification.At the same time, in the condition of small scale samples, the method still has very well results.