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title:
 
Closing and Opening based on discrete t-norms. Applications to natural Image Analysis
publication:
 
EUSFLAT
part of series:
  Advances in Intelligent Systems Research
pages:   358 - 365
DOI:
  To be assigned soon (how to use a DOI)
author(s):
 
M. Gonz¨˘lez-Hidalgo, S. Massanet
publication date:
 
July 2011
keywords:
 
Discrete t-norm, mathematical morphology, edge detection, noise reduction.
abstract:
 
This paper delves deeply into the recently introduced mathematical morphology based on discrete t-norms. Closing and opening operators and the concepts of open and closed objects are introduced. All the properties satisfied by nilpotent t-norms, even the generalized idempotence, hold too. After that, some experimental results, using comparative measures, on edge detection are showed. Some experimental results concerning the Top-Hat transformations and the basic filters built from the opening and closing operators are presented. Top-Hat experiments are compared with those obtained with the umbra approach, nilpotent t-norms and uninorms, proving that the discrete approach provides notable results. Moreover, different objective measures are used in order to evaluate the filtered results depending on the amount of noise in the image.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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