The wavelet packet transform is used to detect the gray variation on textured images

then the multiresolution and multichannel texture features are extracted from every wavelet packets by the Envelop algorithm. These texture images with the same size are classified by the subspace classifier which can overcome the correlation between the feature images . The experiment indicates that the proposed approach provides a good results for textured image segmentation.