International Journal of Computational Intelligence Systems

Volume 8, Issue Supplement 2, December 2015, Pages 16 - 27

Gray Scale Edge Detection using Interval-Valued Fuzzy Relations

Authors
Agustina Bouchet, Pelayo Quirós, Pedro Alonso, Virginia Ballarin, Irene Díaz, Susana Montes
Corresponding Author
Agustina Bouchet
Received 28 July 2015, Accepted 30 October 2015, Available Online 1 December 2015.
DOI
10.1080/18756891.2015.1129588How to use a DOI?
Keywords
Interval-Valued Fuzzy Sets, Lower Constructor, Upper Constructor, Edge detection, Fuzzy Mathematical Morphology
Abstract

Gray scale edge detection can be modeled using Fuzzy Sets and, in particular, Interval-Valued Fuzzy Sets. This work is focused on studying the performance of several Interval-Valued Fuzzy Sets construction methods for detecting edges in a gray scale image. These construction methods are based on considering information related to the neighborhood of each point. Thus, several construction methods are proposed and tested, showing the approach performing better.

Copyright
© 2017, 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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
8 - Supplement 2
Pages
16 - 27
Publication Date
2015/12/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2015.1129588How to use a DOI?
Copyright
© 2017, 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  - JOUR
AU  - Agustina Bouchet
AU  - Pelayo Quirós
AU  - Pedro Alonso
AU  - Virginia Ballarin
AU  - Irene Díaz
AU  - Susana Montes
PY  - 2015
DA  - 2015/12/01
TI  - Gray Scale Edge Detection using Interval-Valued Fuzzy Relations
JO  - International Journal of Computational Intelligence Systems
SP  - 16
EP  - 27
VL  - 8
IS  - Supplement 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2015.1129588
DO  - 10.1080/18756891.2015.1129588
ID  - Bouchet2015
ER  -