Fuzzy logic rules in low and mid level computer vision tasks
James M. Keller · 2002
Humans have excelled at the complex perceptual tasks involved in visual interpretation. Progress has been consistent but fairly slow in performing vision related problems by computer. In an effort to bring more human-like processing into computer vision activities, rule-based systems have been utilized. The uncertainty and vagueness present in image analysis suggest fuzzy logic is a natural paradigm. This presentation is based on a publication exploring the application of fuzzy rule-based systems in various computer vision tasks (Keller et al., 1996). The paper discusses a few of the efforts in this growing field of activity in the areas of low and intermediate level vision.