Knowledge acquisition in image processing expert system 'EXPLAIN'

Abstract

A knowledge-acquisition facility has been incorporated into an expert system called EXPLAIN, which assists the nonexpert in using a package of image-processing algorithms to obtain a required image from a given one. It captures knowledge of image-processing procedures through interaction between the domain expert and the system. The authors discuss the method and its features: stimulative interview and rule generalization. A stimulative way of interviewing using analogical reasoning reduces the difficulty for the expert to elicit deeply and unconsciously embedded knowledge. The process of decomposing a successful sequence of image processing by the expert creates generalized rules in a natural manner.<>