Paper
27 April 1995 Fuzzy connectedness and object definition
Jayaram K. Udupa, Supun Samarasekera
Author Affiliations +
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.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jayaram K. Udupa and Supun Samarasekera "Fuzzy connectedness and object definition", Proc. SPIE 2431, Medical Imaging 1995: Image Display, (27 April 1995); https://doi.org/10.1117/12.207603
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CITATIONS
Cited by 31 scholarly publications.
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KEYWORDS
Fuzzy logic

Image segmentation

Binary data

Image processing algorithms and systems

Algorithms

Brain

Medical imaging

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