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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology

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Author(s):
Sussner, Peter [1] ; Nachtegael, Mike [2] ; Melange, Tom [2] ; Deschrijver, Glad [2] ; Esmi, Estevao [1] ; Kerre, Etienne [2]
Total Authors: 6
Affiliation:
[1] Univ Estadual Campinas, Dept Appl Math, BR-13083859 Campinas, SP - Brazil
[2] Univ Ghent, Dept Appl Math & Comp Sci, B-9000 Ghent - Belgium
Total Affiliations: 2
Document type: Journal article
Source: Journal of Mathematical Imaging and Vision; v. 43, n. 1, p. 50-71, MAY 2012.
Web of Science Citations: 28
Abstract

Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scale morphology. Extensions of classical binary morphology to gray-scale morphology include approaches based on fuzzy set theory that give rise to fuzzy mathematical morphology (FMM). From a mathematical point of view, FMM relies on the fact that the class of all fuzzy sets over a certain universe forms a complete lattice. Recall that complete lattices provide for the most general framework in which MM can be conducted. The concept of L-fuzzy set generalizes not only the concept of fuzzy set but also the concepts of interval-valued fuzzy set and Atanassov's intuitionistic fuzzy set. In addition, the class of L-fuzzy sets forms a complete lattice whenever the underlying set L constitutes a complete lattice. Based on these observations, we develop a general approach towards L-fuzzy mathematical morphology in this paper. Our focus is in particular on the construction of connectives for interval-valued and intuitionistic fuzzy mathematical morphologies that arise as special, isomorphic cases of L-fuzzy MM. As an application of these ideas, we generate a combination of some well-known medical image reconstruction techniques in terms of interval-valued fuzzy image processing. (AU)

FAPESP's process: 09/16284-2 - Estimation of Mappings between Lattices Using (Fuzzy) Neurocomputing for Pattern Recognition
Grantee:Estevão Esmi Laureano
Support Opportunities: Scholarships in Brazil - Doctorate