Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Generation of fuzzy edge images using trapezoidal membership functions

Authors
Carlos Lopez-Molina, Humberto Bustince, Javier Fernandez, Bernard De Baets
Corresponding Author
Carlos Lopez-Molina
Available Online August 2011.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
ISSN
1951-6851
DOI
https://doi.org/10.2991/eusflat.2011.73How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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
PB  - Atlantis Press
SP  - 327
EP  - 333
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.73
DO  - https://doi.org/10.2991/eusflat.2011.73
ID  - Lopez-Molina2011/08
ER  -