Towards an objective edge detection algorithm

DOI

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.

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  - 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 (EUSFLAT-11)
PB  - Atlantis Press
SP  - 319
EP  - 326
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2011.71
DO  - 10.2991/eusflat.2011.71
ID  - González-Hidalgo2011/08
ER  -