An expert system for industrial machine vision

Yoshifumi Kitamura, Hiroaki Sato, Hideyuki Tamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

An expert system for algorithm design for industrial machine vision is presented. Its knowledge base includes human experts' knowledge about image processing techniques, and it is capable of solving given vision problems. As a problem domain, the authors have chosen vision algorithms for a parts feeder, which determines the attitude of mechanical parts on a conveyor belt and rejects parts with inappropriate attitudes. The expert system for a parts feeder is designed to consists of three components: a feature selection expert, an image processing expert, and a decision tree generator. The knowledge necessary for the design of a vision algorithm for determining the attitudes of parts is discussed. A framework for representing the knowledge needed in order to find solutions to pattern classification problems is established.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Pages771-774
Number of pages4
ISBN (Print)0818620625
Publication statusPublished - 1990 Dec 1
Externally publishedYes
EventProceedings of the 10th International Conference on Pattern Recognition - Atlantic City, NJ, USA
Duration: 1990 Jun 161990 Jun 21

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume1

Other

OtherProceedings of the 10th International Conference on Pattern Recognition
CityAtlantic City, NJ, USA
Period90/6/1690/6/21

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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