Knowledge-Based Integration of IU Algorithms

This paper deals with the integration of image understanding (IU) programs using a knowledgebased approach. The basic concepts of program integration are discussed, and a simple problem-solving model for program integration is outlined. Two types of reasoning, planning and execution control, are identified. A system developed using this model, called OCAPI (Optimizing, Controlling and Automating the Processing of Images), is introduced. OCAPI is in an AI environment in which the reasoning used by the IU specialist is formally represented using frames and production rules. An example of an application developed using OCAPI is presented, and the advantages and shortcomings of this approach are discussed. The support of the Advanced Research Projects Agency (ARPA Order No. ????) is gratefully acknowledged, as is the help of Sandy German in preparing this paper. 1 Introduction In any rapidly-evolving field of research such as image understanding (IU), the development of new methods is of..