A Comparison Study of Some Configurations of the Uninorm Morphological Edge Detector

Manuel González-Hidalgo, Sebastià Massanet, Arnau Mir, Daniel Ruiz-Aguilera

2012

Abstract

In this paper, we study the performance of the edge detector from the fuzzy mathematical morphology based on conjunctive uninorms. Several different pairs of uninorm and fuzzy implication (configurations) are considered in the fuzzy morphological gradient. The results are compared using an objective edge detection performance measure, the so-called Pratt’s figure of merit. To reinforce the analysis a K-means clustering algorithm has been applied to study the relation between the configurations and to determine which uninorm and implication have to be chosen to obtain an optimal edge detector. According to the analysis of the obtained results, the idempotent uninorm obtained using the classical negation, and its residual implication is the best configuration in this framework.

Paper Citation

in Harvard Style

González-Hidalgo M., Massanet S., Mir A. and Ruiz-Aguilera D. (2012). A Comparison Study of Some Configurations of the Uninorm Morphological Edge Detector . In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, pages 410-419. DOI: 10.5220/0004148804100419

in Bibtex Style

@conference{fcta12,
author={Manuel González-Hidalgo and Sebastià Massanet and Arnau Mir and Daniel Ruiz-Aguilera},
title={A Comparison Study of Some Configurations of the Uninorm Morphological Edge Detector},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012)},
year={2012},
pages={410-419},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004148804100419},
isbn={978-989-8565-33-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: FCTA, (IJCCI 2012)
TI - A Comparison Study of Some Configurations of the Uninorm Morphological Edge Detector
SN - 978-989-8565-33-4
AU - González-Hidalgo M.
AU - Massanet S.
AU - Mir A.
AU - Ruiz-Aguilera D.
PY - 2012
SP - 410
EP - 419
DO - 10.5220/0004148804100419