In this paper

we provide a wavelet transform method for texture analysis. We first decompose the image by a nonseparable discrete wavelet. By calculating the pixel energy of high frequency bands

we can extract the texture feature. The number of texture class is determined by coarse segmenting based on histogram. The final result can be obtained

after fine segmentation and multi scale processing. Our approach is an unsupervised classification algorithm

which is simple but accurate.