Editorial — Special Issue: ISMM 2019

Bernhard Burgeth; Andreas Kleefeld; Benoît Naegel; Benjamin Perret

doi:10.1515/mathm-2020-0200

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Editorial — Special Issue: ISMM 2019

Bernhard Burgeth , Andreas Kleefeld , Benoît Naegel and Benjamin Perret

Published/Copyright: December 31, 2020

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From the journal Mathematical Morphology - Theory and Applications Volume 4 Issue 1

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Burgeth, Bernhard, Kleefeld, Andreas, Naegel, Benoît and Perret, Benjamin. "Editorial — Special Issue: ISMM 2019" Mathematical Morphology - Theory and Applications, vol. 4, no. 1, 2020, pp. 159-161. https://doi.org/10.1515/mathm-2020-0200

Burgeth, B., Kleefeld, A., Naegel, B. & Perret, B. (2020). Editorial — Special Issue: ISMM 2019. Mathematical Morphology - Theory and Applications, 4(1), 159-161. https://doi.org/10.1515/mathm-2020-0200

Burgeth, B., Kleefeld, A., Naegel, B. and Perret, B. (2020) Editorial — Special Issue: ISMM 2019. Mathematical Morphology - Theory and Applications, Vol. 4 (Issue 1), pp. 159-161. https://doi.org/10.1515/mathm-2020-0200

Burgeth, Bernhard, Kleefeld, Andreas, Naegel, Benoît and Perret, Benjamin. "Editorial — Special Issue: ISMM 2019" Mathematical Morphology - Theory and Applications 4, no. 1 (2020): 159-161. https://doi.org/10.1515/mathm-2020-0200

Burgeth B, Kleefeld A, Naegel B, Perret B. Editorial — Special Issue: ISMM 2019. Mathematical Morphology - Theory and Applications. 2020;4(1): 159-161. https://doi.org/10.1515/mathm-2020-0200

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Received: 2020-12-15

Accepted: 2020-12-15

Published Online: 2020-12-31

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https://doi.org/10.1515/mathm-2020-0200

Keywords for this article

Mathematical morphology; ISMM

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Articles in the same Issue

Regular articles
Automated segmentation of thick confocal microscopy 3D images for the measurement of white matter volumes in zebrafish brains
Image Restoration by Learning Morphological Opening-Closing Network
Digital Objects in Rhombic Dodecahedron Grid
Special Issue: ISMM 2019
Editorial — Special Issue: ISMM 2019
Hyperspectral Image Classification Based on Mathematical Morphology and Tensor Decomposition
Boundary Morphology for Hierarchical Simplification of Archaeological Fragments
Approximating morphological operators with part-based representations learned by asymmetric auto-encoders
Adaptive Mathematical Morphology on Irregularly Sampled Signals in Two Dimensions
Fast marching based superpixels