Title :
Knowledge-guided segmentation of texture images
Abstract :
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
Keywords :
computerised pattern recognition; computerised picture processing; knowledge based systems; knowledge engineering; common textural properties; feature measure planes; iterative quadtree splitting; knowledge-guided segmentation; numeric texture analyzer; parallel region growing; texture energy measures; texture images;
Conference_Titel :
Systems Engineering, 1990., IEEE International Conference on
Conference_Location :
Pittsburgh, PA, USA
Print_ISBN :
0-7803-0173-0
DOI :
10.1109/ICSYSE.1990.203213