Generation of fuzzy edge images using trapezoidal membership functions

DOI

10.2991/eusflat.2011.73How to use a DOI?

Keywords

Image processing, Edge detection, Fuzzy edges, Membership functions

Abstract

The fuzzy representation of the edges has been widely studied in different works. Generally, for each pixel, the authors use membership degrees linearly proportional to the magnitude of the gradient at that position of the image. This would be equivalent to using a triangular membership functions on the gradient magnitude. In this work we study the use of parametric functions in the transformation of the gradient images into fuzzy sets. The results obtained with different parametrical functions are studied using Baddeley's Delta Metric.

Copyright

© 2011, 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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TY  - CONF
AU  - Carlos Lopez-Molina
AU  - Humberto Bustince
AU  - Javier Fernandez
AU  - Bernard De Baets
PY  - 2011/08
DA  - 2011/08
TI  - Generation of fuzzy edge images using trapezoidal membership functions
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)
PB  - Atlantis Press
SP  - 327
EP  - 333
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.73
DO  - 10.2991/eusflat.2011.73
ID  - Lopez-Molina2011/08
ER  -