By Topic

Representation of structural information in images using fuzzy set theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
I. Bloch ; Ecole Nat. Superieure des Telecommun., CNRS, Paris, France

In this paper, we show how fuzzy set theory can be used to represent structural information in images, in particular, relationships between imprecise objects, defined as spatial fuzzy sets. We distinguish two types of relationships: on the one hand, relationships that are well defined in the case of crisp objects (like adjacency or distance), and on the other hand, relationships that do not find any consensual definition even in the binary case (typically relative position between objects). We propose several ways to generalize relationships of the first class in order to incorporate imprecision attached to the objects. For the second class, we argue that fuzzy definitions are appropriate even when dealing with crisp objects, and we propose original definitions

Published in:

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on  (Volume:4 )

Date of Conference:

11-14 Oct 1998