Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

A fuzzy edge-based image segmentation approach

Authors
Carely Guada, Daniel Gómez, J. Tinguaro Rodríguez, Javier Yáñez, Javier Montero
Corresponding Author
Carely Guada
Available Online June 2015.
DOI
10.2991/ifsa-eusflat-15.2015.172How to use a DOI?
Keywords
Fuzzy set, Image segmentation, Crisp image segmentation, Graph-based fuzzy image segmentation.
Abstract

In this paper, we present a way to define the concept of fuzzy image segmentation, which has not been clearly defined in the literature. In this work the term Fuzzy image segmentation is characterized by means of a fuzzy set over the set of edges, which can be understood as the fuzzy boundary of the image. Also we discuss a visualization of an image segmentation in terms of edge detection. But first, we define two concepts of crisp image segmentation on an image network, one based on nodes and the other one focusing on edges.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
10.2991/ifsa-eusflat-15.2015.172
ISSN
1951-6851
DOI
10.2991/ifsa-eusflat-15.2015.172How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Carely Guada
AU  - Daniel Gómez
AU  - J. Tinguaro Rodríguez
AU  - Javier Yáñez
AU  - Javier Montero
PY  - 2015/06
DA  - 2015/06
TI  - A fuzzy edge-based image segmentation approach
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 1216
EP  - 1222
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.172
DO  - 10.2991/ifsa-eusflat-15.2015.172
ID  - Guada2015/06
ER  -