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Proceedings Paper

Fuzzy connectedness and object definition
Author(s): Jayaram K. Udupa; Supun Samarasekera
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Paper Abstract

Approaches to object information extraction from images should attempt to use the fact that images are fuzzy. In past image segmentation research, the notion of `hanging togetherness' of image elements specified by their fuzzy connectedness has been lacking. We present a theory of fuzzy objects for n-dimensional digital spaces based on a notion of fuzzy connectedness of image elements. Although our definitions lead to problems of enormous combinatorial complexity, the theoretical results allow us to reduce this dramatically. We demonstrate the utility of the theory and algorithms in image segmentation based on several practical examples.

Paper Details

Date Published: 27 April 1995
PDF: 10 pages
Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); doi: 10.1117/12.207603
Show Author Affiliations
Jayaram K. Udupa, Univ. of Pennsylvania (United States)
Supun Samarasekera, Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 2431:
Medical Imaging 1995: Image Display
Yongmin Kim, Editor(s)

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