Abstract: Aim Multi-resolution segmentation using wavelet transform is studied. Meth- ods A hierarchical segmentation based on the subband image with the most energy in wavelet domain is suggested.The scheme includes the construction of a fine to coarse multi-resolution wavelet pyramid by energy, and then the segmentation of textural image by the inverse process of wavelet decomposition, i. e., the process from coarse to fine resolution. The segmentation information at a lower level is propagated to the next higher level. Results Feature optimal selection and the use of Fuz- zy-C clustering are helpful to segmentation at every resolution. The result gets finer with the levels. Conclusion There are almost no texturel grids at the higher levels, so the segmentation accords well with human vision.