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Proceedings Paper

Organization And Knowledge Representation In An Expert System For Scene Segmentation In Histologic Sections
Author(s): D. Thompson; W. Griswold; W. Kuhn; H. G. Bartels; R. L. Shoemaker; P. H. Bartels
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Paper Abstract

An expert system to guide scene segmentation in histologic sections is described. The system uses a semantic net for knowledge representation. At each node of the net, frames are associated to allow the staging of additional information. Scene segmentation is the result of model-based reasoning, supported by a digital image processing library and adaptive selection of segmentation procedures to resolve local segmentation difficulties.

Paper Details

Date Published: 13 June 1989
PDF: 11 pages
Proc. SPIE 1063, New Technologies in Cytometry, (13 June 1989); doi: 10.1117/12.951891
Show Author Affiliations
D. Thompson, University of Arizona (United States)
W. Griswold, University of Arizona (United States)
W. Kuhn, University of Arizona (United States)
H. G. Bartels, University of Arizona (United States)
R. L. Shoemaker, University of Arizona (United States)
P. H. Bartels, University of Arizona (United States)

Published in SPIE Proceedings Vol. 1063:
New Technologies in Cytometry
Gary C. Salzman, Editor(s)

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