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BY 4.0 license Open Access Published by De Gruyter Open Access December 31, 2020

Editorial — Special Issue: ISMM 2019

Bernhard Burgeth, Andreas Kleefeld, Benoît Naegel and Benjamin Perret

Abstract

This editorial presents the Special Issue dedicated to the conference ISMM 2019 and summarizes the articles published in this Special Issue.

References

[1] T. Asplund, C. L. Luengo Hendriks, M. J. Thurley, and R. Strand. Adaptive mathematical morphology on irregularly sampled signals in two dimensions. Mathematical Morphology — Theory and Applications, 4(1):108–126, 2020.10.1515/mathm-2020-0104Search in Google Scholar

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[8] H. ElNaghy and L. Dorst. Boundary morphology for hierarchical simplification of archaeological fragments. Mathematical Morphology — Theory and Applications, 4(1):46–63, 2020.10.1515/mathm-2020-0101Search in Google Scholar

[9] H. ElNaghy and L. Dorst. Complementarity-preserving fracture morphology for archaeological fragments. In B. Burgeth, A. Kleefeld, B. Naegel, N. Passat, and B. Perret, editors, International Symposium on Mathematical Morphology (ISMM), Proceedings, volume 11564 of Lecture Notes in Computer Science, pages 403–414, Heidelberg, Springer, 2019.10.1007/978-3-030-20867-7_31Search in Google Scholar

[10] M. Jouni, M. Dalla Mura, and P. Comon. Hyperspectral image classification based on mathematical morphology and tensor decomposition. Mathematical Morphology — Theory and Applications, 4(1):1–30, 2020.10.1515/mathm-2020-0001Search in Google Scholar

[11] M. Jouni, M. Dalla Mura, and P. Comon. Classification of hyperspectral images as tensors using nonnegative CP decomposition. In B. Burgeth, A. Kleefeld, B. Naegel, N. Passat, and B. Perret, editors, International Symposium on Mathematical Morphology (ISMM), Proceedings, volume 11564 of Lecture Notes in Computer Science, pages 189–201, Heidelberg, Springer, 2019.10.1007/978-3-030-20867-7_15Search in Google Scholar

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Received: 2020-12-15
Accepted: 2020-12-15
Published Online: 2020-12-31

© 2020 Bernhard Burgeth et al., published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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