Comparison between images via bilinear fuzzy relation equations-Reference-Cited by-同舟云学术

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Comparison between images via bilinear fuzzy relation equations

Published:2017-09-08 Issue:5 Volume:9 Page:1517-1525
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Di Martino Ferdinando,Sessa Salvatore^ORCID

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/article/10.1007/s12652-017-0576-3/fulltext.html

Reference16 articles.

1. Avants B, Tustison BJ, Song G, Cook PA, Klein A, Gee JC (2011) A reproducible evaluation of ANT’s similarity metric performance in brain image registration. Neuroimage 64:2033–2044. doi: 10.1016/j.neuroimage.2010.09.025

2. Di Martino F, Nobuhara H, Sessa S (2008) Eigen fuzzy sets and image information retrieval. In: Pedrycz W, Skowron A, Kreinovich V (eds) Handbook of granular computing. John Wiley, Chichester, pp 863–872. doi: 10.1002/9780470724163.ch40

3. Di Martino F, Loia V, Sessa S (2010) Fuzzy transforms for compression and decompression of color videos. Inf Sci 180:3914–3931. doi: 10.1016/j.ins.2010.06.030

4. Fucheng T (1988) Fuzzy bilinear equations. Fuzzy Sets Syst 28:217–226. doi: 10.1016/0165-0114(88)90202-3

5. CIARP 2012. Lecture notes in computer science;A Jaiswal,2012

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2. On Measuring the Solvability of a Fuzzy Relation Equation;Studies in Computational Intelligence;2024

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4. Fuzzy Relations;Big and Integrated Artificial Intelligence;2022

5. Fermatean fuzzy sets;Journal of Ambient Intelligence and Humanized Computing;2019-07-01

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