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Knowledge representation in expert vision systems
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Source International conference on Industrial and engineering applications of artificial intelligence and expert systems archive
Proceedings of the 1st international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 2 table of contents
Tullahoma, Tennessee, United States
Pages: 689 - 696  
Year of Publication: 1988
ISBN:0-89791-271-3
Authors
H. Ranganath  Univ. of Alabama, Huntsville
R. Greene  Univ. of Alabama, Huntsville
Sponsor
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 0,   Downloads (12 Months): 11,   Citation Count: 0
Additional Information:

references   index terms   collaborative colleagues   peer to peer  

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Fu, K. S. and Mui, J. K., "A Survey On Image Segmentation: Pattern Recognition", Vol. 13,No. 1 (1981) pp. 3-16.
 
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.
 
3
Rosenfeld, J. and Davis, L. S., "Image Segmentation and Image Models", Proceedings IEEE, Vol 67,No. 5 (May, 1979).
 
4
Rosenfeld, A. and Kak, A. C., "Digital Image Processing", Academic Press, New York, USA (1976).
 
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).
 
6
Azriel Rosenfeld, Expert vision sytems: some issues, Computer Vision, Graphics, and Image Processing, v.34 n.1, p.99-102, April 1986  [doi>10.1016/0734-189X(86)90051-4]

INDEX TERMS

Primary Classification:
  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.4 Knowledge Representation Formalisms and Methods
          Subjects: Representations (procedural and rule-based)

Additional Classification:
  I. Computing Methodologies
  I.4 IMAGE PROCESSING AND COMPUTER VISION
      I.4.6 Segmentation
          Subjects: Region growing, partitioning
      I.4.7 Feature Measurement
          Subjects: Texture; Size and shape
  I.5 PATTERN RECOGNITION
      I.5.4 Applications
          Subjects: Computer vision


General Terms:
Algorithms, Performance, Theory

Collaborative Colleagues:
H. Ranganath: colleagues
R. Greene: colleagues

Peer to Peer - Readers of this Article have also read:

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