Organization And Knowledge Representation In An Expert System For Scene Segmentation In Histologic Sections

D. Thompson; W. Griswold; W. Kuhn; H. G. Bartels; R. L. Shoemaker; P. H. Bartels

doi:10.1117/12.951891

13 June 1989 Organization And Knowledge Representation In An Expert System For Scene Segmentation In Histologic Sections

D. Thompson, W. Griswold, W. Kuhn, H. G. Bartels, R. L. Shoemaker, P. H. Bartels

Author Affiliations +

Proceedings Volume 1063, New Technologies in Cytometry; (1989) https://doi.org/10.1117/12.951891
Event: OE/LASE '89, 1989, Los Angeles, CA, United States

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.

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D. Thompson, W. Griswold, W. Kuhn, H. G. Bartels, R. L. Shoemaker, and P. H. Bartels "Organization And Knowledge Representation In An Expert System For Scene Segmentation In Histologic Sections", Proc. SPIE 1063, New Technologies in Cytometry, (13 June 1989); https://doi.org/10.1117/12.951891

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