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Knowledge representation in expert vision systems

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IEA/AIE '88: Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2

Pages 689 - 696

https://doi.org/10.1145/55674.55681

Published: 01 June 1988 Publication History

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References

[1]

Fu, K. S. and Mui, J. K., "A Survey On Image Segmentation: Pattern Recognition", Vol. 13,No. 1 (1981) pp. 3-16.

Google Scholar

[2]

Diller, K. R. and Knox, J. M., :'Identification and Tracking of Blurred Boundaries in Cluttered Images" Proceedings IEEE Computer Society Conference on Pattern Recognition and Image Processing IEEE, New York, USA (1981) pp 137-139.

Google Scholar

[3]

Rosenfeld, J. and Davis, L. S., "Image Segmentation and Image Models", Proceedings IEEE, Vol 67,No. 5 (May, 1979).

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[4]

Rosenfeld, A. and Kak, A. C., "Digital Image Processing", Academic Press, New York, USA (1976).

Google Scholar

[5]

Nazif, A. M. and Levine, M. D., "Low Level Image Segmentation: An Expert System", IEEE Transactions On Pattern Analysis and Machine Intelligence, Vol P~MI-6, No. 5, (September, i984).

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[6]

Rosenfeld, A., "Expert Vision Systems: Some Issues", Computer Vision,Graphics and Image Processing, pp 99-117 (1986).

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Index Terms

Knowledge representation in expert vision systems
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
    2. Knowledge representation and reasoning
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning

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Published In

IEA/AIE '88: Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2

June 1988

1189 pages

ISBN:0897912713

DOI:10.1145/55674

Chairman:
M. Ali
UTSI

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 June 1988

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IEA/AIE88

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SIGAI

IEA/AIE88: 1st International Conference on Idustrial and Engineer Application of Art. Intell & Expert Sys.

June 1 - 3, 1988

Tennessee, Tullahoma, USA

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