Knowledge-guided segmentation of texture images

A two-level system for the segmentation of texture images into regions of common textural properties is described. The first level is a purely numeric texture analyzer that uses texture energy measures to transform the image into feature measure planes. The second level is a knowledge-based segmentor that uses rules derived from knowledge of the image-forming process to arrive at a segmentation. Two different control schemes that can be used to guide the segmentation process are described. These are based on parallel region growing and iterative quadtree splitting, respectively. An illustration of the performance of the system with both control schemes on a real test image is presented