PERFORMANCE ANALYSIS OF FUZZY MATHEMATICAL MORPHOLOGY OPERATORS ON NOISY MRI

Authors

  • A. BOUCHET
  • F. BENALCÁZAR PALACIOS
  • M. BRUN
  • V. L. BALLARIN

DOI:

https://doi.org/10.52292/j.laar.2014.446

Keywords:

Biomedical Images, Digital Image Processing, Mathematical Morphology, Fuzzy Mathematical Morphology

Abstract

 Despite a large amount of publications on Fuzzy Mathematical Morphology, little effort was done on systematic evaluation of the performance of this technique. The goal of this work is to compare the robustness against noise of Fuzzy and non Fuzzy Morphological operators when applied to noisy images. Magnetic Resonance Images (MRI) of the brain are a kind of images containing some characteristics that make fuzzy operators an interesting choice, because of their intrinsic noise and imprecision. The robustness was evaluated as the degree in which the results of the operators are not affected by artificial noise in the images. In the analysis we compared different implementation of Fuzzy Mathematical Morphology, and observed that in most of the cases they show higher robustness against noise than the classical morphological operators.

Downloads

Published

2014-07-31

Issue

Vol. 44 No. 3 (2014): Latin American Applied Research

Section

Control and Information Processing

License

Once a paper is accepted for publication, the author is assumed to have transferred its copyright to the Publisher. The Publisher will not, however, put any limitation on the personal freedom of the author to use material from the paper in other publications. From September 2019 it is required that authors explicitly sign a copyright release form before their paper gets published. The Author Copyright Release form can be found here