An expert system for vision algorithm design is presented. It has knowledge bases which include human experts' knowledge about image-processing techniques. and is capable of solving given vision problems. When input images and a goal of analysis are given, it generates executable programs through interactions with user. As a problem-domain, we choose vision algorithms for a parts-feeder system. It determines attitudes of mechanical parts on a conveyerbelt and rejects the inappropriate ones to assembly machines. Production engineers' expertise about selection of features, design of feature measurement prccedures, and construction of decision logic are accumulated into knowledge-bases. And the design works for newly appearing parts will be assisted by these knowledge-bases.
['Hiroaki Sato', 'Yoshifurni Kitamura', 'Hideyuki Tamura']
A Knowledge -based Approach to Vision Algorithm Design for Industrial Parts Feeder