A multiresolution image representation is presented in which iterative morphological filters of many scales hut identical shape serve as basis functions. Structural pattern decomposition is achieved by subtracting successive layers in the multiresolution representation. The representation differs from established techniques in that the code elements have a well defined location and size. The re...

Comer, Mary L. Ph.D., Purdue University, December 1995. Multiresolution Image Processing Techniques with Applications in Texture Segmentation and Nonlinear Filtering. Major Professor: Edward J. Delp. We present a new algorithm for segmentation of textured images using a multiresolution Bayesian approach. The algorithm uses a multiresolution Gaussian autoregressive (MGAR) model for the pyramid r...

Multiresolution data representations crucial for key to viewing large volumetric datasets interactively. There are several stages in the visualization pipeline to render large data sets. When a data set is too large to fit into texture memory, or even into main memory, a “cut” must be made through the multiresolution data hierarchy to attain a coarser subset of the data. Ideally, the subset is ...