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Proceedings Paper

Fuzzy objects and their boundaries
Author(s): Jayaram K. Udupa; Supun Samarasekera; Kootala P. Venugopal; George J. Grevera
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Paper Abstract

Measured data are inherently inaccurate. Operations done on data for defining, visualizing, manipulating and analyzing object information should attempt to retain these inaccuracies as accurately as possible. The theory of fuzzy sets is a proper mathematical vehicle for this purpose. In this attempt, topological notions such as adjacency, connectedness, and boundary need to be developed starting from fuzzy sets. We develop such a framework in this paper and present algorithms for finding fuzzy connected components and boundaries in digital imagery. We demonstrate the usefulness of these algorithms in medical applications, particularly in separating objects that come close together which are otherwise difficult to segment using hard (non-fuzzy) criteria.

Paper Details

Date Published: 9 September 1994
PDF: 9 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185205
Show Author Affiliations
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Supun Samarasekera, Univ. of Pennsylvania (United States)
Kootala P. Venugopal, Univ. of Pennsylvania (United States)
George J. Grevera, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 2359:
Visualization in Biomedical Computing 1994
Richard A. Robb, Editor(s)

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