Computer vision systems

Expert system technology has been successfully applied to many practical problems, but. In this paper we discuss some of the problems confronting computer vision and present an approach to the development of general knoledge-based vision systems. The primary mechanism is a rule-based approach for the generation of initial object hypotheses, which allow focus of attention strategies. The rule set, applied to the attributes of the lines, regions, and surfaces in an intermediate symbolic representation, is constructed interactively with visual feedback to the user. Simples rules are defined as ranges over a feature value which are converted to a vote for an object label; complex rules are constructed via a functional combination of the output from the simple rules.