In this paper

an approach based on wavelet decomposition is developed for image segmentation. After making the image two dimensional wavelet transform

fractal dimension and texture features of subchannels are extracted for texture segmentation. The experimental results also demonstrated its satisfactory efficency both for simulated textured image and multispectral remotely sensed image.