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Proceedings Paper

Interaction between different types of domain-constraint knowledge in image segmentation
Author(s): Stuart W. Wells; Matthew O. Ward
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Paper Abstract

Image segmentation systems which employs domain specific knowledge produce, in general, results superior to context-free systems. A significant drawback with using domain specific knowledge is its lack of portability and excessive development and computation time. In this paper, we investigate using a general rule based segmentation system and augmenting it with domain constraint knowledge to improve the performance of the system. We also investigate interactions between multiple types of domain constraint knowledge and their effect on parameter selection and rule ordering.

Paper Details

Date Published: 20 April 1993
PDF: 11 pages
Proc. SPIE 1827, Model-Based Vision, (20 April 1993); doi: 10.1117/12.143062
Show Author Affiliations
Stuart W. Wells, Worcester Polytechnic Institute (United States)
Matthew O. Ward, Worcester Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 1827:
Model-Based Vision
Hatem N. Nasr; Rodney M. Larson, Editor(s)

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