Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology
- Author
- Peter Sussner, Mike Nachtegael (UGent) , Tom Mélange (UGent) , Glad Deschrijver (UGent) , Estevão Esmi and Etienne Kerre (UGent)
- Organization
- 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.
- Keywords
- SET-THEORY, Duality, ASSOCIATIVE MEMORIES, L-fuzzy mathematical morphology, L-fuzzy connectives, Inclusion measure, TYPE-2 FUZZISTICS, Mathematical morphology, L-fuzzy sets, Atanassov’s intuitionistic fuzzy sets, Adjunction, Negation, Complete lattice, Interval-valued fuzzy sets, GRAY-SCALE, LOGIC, OPERATORS, BINARY, CLASSIFICATION, DECOMPOSITION, FUNDAMENTALS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-2128176
- MLA
- Sussner, Peter, et al. “Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology.” JOURNAL OF MATHEMATICAL IMAGING AND VISION, vol. 43, no. 1, 2012, pp. 50–71, doi:10.1007/s10851-011-0283-1.
- APA
- Sussner, P., Nachtegael, M., Mélange, T., Deschrijver, G., Esmi, E., & Kerre, E. (2012). Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology. JOURNAL OF MATHEMATICAL IMAGING AND VISION, 43(1), 50–71. https://doi.org/10.1007/s10851-011-0283-1
- Chicago author-date
- Sussner, Peter, Mike Nachtegael, Tom Mélange, Glad Deschrijver, Estevão Esmi, and Etienne Kerre. 2012. “Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology.” JOURNAL OF MATHEMATICAL IMAGING AND VISION 43 (1): 50–71. https://doi.org/10.1007/s10851-011-0283-1.
- Chicago author-date (all authors)
- Sussner, Peter, Mike Nachtegael, Tom Mélange, Glad Deschrijver, Estevão Esmi, and Etienne Kerre. 2012. “Interval-Valued and Intuitionistic Fuzzy Mathematical Morphologies as Special Cases of L-Fuzzy Mathematical Morphology.” JOURNAL OF MATHEMATICAL IMAGING AND VISION 43 (1): 50–71. doi:10.1007/s10851-011-0283-1.
- Vancouver
- 1.Sussner P, Nachtegael M, Mélange T, Deschrijver G, Esmi E, Kerre E. Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology. JOURNAL OF MATHEMATICAL IMAGING AND VISION. 2012;43(1):50–71.
- IEEE
- [1]P. Sussner, M. Nachtegael, T. Mélange, G. Deschrijver, E. Esmi, and E. Kerre, “Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology,” JOURNAL OF MATHEMATICAL IMAGING AND VISION, vol. 43, no. 1, pp. 50–71, 2012.
@article{2128176,
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.}},
author = {{Sussner, Peter and Nachtegael, Mike and Mélange, Tom and Deschrijver, Glad and Esmi, Estevão and Kerre, Etienne}},
issn = {{0924-9907}},
journal = {{JOURNAL OF MATHEMATICAL IMAGING AND VISION}},
keywords = {{SET-THEORY,Duality,ASSOCIATIVE MEMORIES,L-fuzzy mathematical morphology,L-fuzzy connectives,Inclusion measure,TYPE-2 FUZZISTICS,Mathematical morphology,L-fuzzy sets,Atanassov’s intuitionistic fuzzy sets,Adjunction,Negation,Complete lattice,Interval-valued fuzzy sets,GRAY-SCALE,LOGIC,OPERATORS,BINARY,CLASSIFICATION,DECOMPOSITION,FUNDAMENTALS}},
language = {{eng}},
number = {{1}},
pages = {{50--71}},
title = {{Interval-valued and intuitionistic fuzzy mathematical morphologies as special cases of L-fuzzy mathematical morphology}},
url = {{http://doi.org/10.1007/s10851-011-0283-1}},
volume = {{43}},
year = {{2012}},
}
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