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

Towards an objective edge detection algorithm

Authors
Manuel González-Hidalgo, Sebastià Massanet
Corresponding Author
Manuel González-Hidalgo
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.71How to use a DOI?
Keywords
Edge detection, discrete t-norm, mathematical morphology, thresholding method, thinning method.
Abstract
In this paper a comparative analysis of different techniques in order to transform a gray-scale edge image to a thin binary edge image is performed. Several thresholding methods and thinning methods are compared. The comparison is made according to some performance measures, such as Pratt's figure of merit, Baddeley's measure and the -coefficient. This study is an essential intermediate step to obtain an objective edge detection algorithm based on discrete t-norms. This fuzzy morphological algorithm has already shown notable potential in relation with the results obtained from nilpotent tnorms, umbra approach and classical edge detectors.
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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.2011.71How 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  - Manuel González-Hidalgo
AU  - Sebastià Massanet
PY  - 2011/08
DA  - 2011/08
TI  - Towards an objective edge detection algorithm
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 319
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.71
DO  - https://doi.org/10.2991/eusflat.2011.71
ID  - González-Hidalgo2011/08
ER  -