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On fuzzy distances and their use in image processing under imprecision

โœ Scribed by Isabelle Bloch

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
510 KB
Volume
32
Category
Article
ISSN
0031-3203

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โœฆ Synopsis

This paper proposes a classi"cation of fuzzy distances with respect to the requirements needed for applications in image processing under imprecision. We distinguish, on the one hand, distances that basically compare only the membership functions representing the concerned fuzzy objects, and, on the other hand, distances that combine spatial distance between objects and membership functions. To our point of view, the second class of methods "nds more general applications in image processing since these methods take into account both spatial information and information related to the imprecision attached to the image objects. New distances based on mathematical morphology are proposed in this second class.

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