Multiresolution texture segmentation

One of the major developments in texture segmentation in recent years has been the use of multiresolution descriptions of these images. One may consider this multiresolution description to provide information about the image contained in ever smaller regions of the frequency domain, and thus provides a powerful tool for the discrimination of similar textures. It has recently been established that use of scale-space-filtering by ever wider filters, is equivalent to a decomposition of the image in terms of wavelets. The big advantage of the wavelet description of an image is that it is invertible. In this paper we use successive transformations of textured images in terms of wavelets to produce lower resolution descriptions of the image. This procedure can be thought of as dynamically focussing on the important region of the frequency domain for the particular texture in the image