Morphological Layers for Keras/Tensorflow2 The goal of morpholayers is to make the interactions between mathematical morphology and deep learning accessible for everyone.

!git clone https://github.com/Jacobiano/morpholayers.git

If you find this code useful in your research, please consider citing:

@inproceedings{VelascoBMVC2022,
Author = {Velasco-Forero, S. and Rhim, A. and Angulo, J.},
Title = {Fixed Point Layers for Geodesic Morphological Operations},
Booktitle  = {British Machine Vision Conference (BMVC)},
Year = {2022}
}


@article{VelascoSIAM2022,
author = {Velasco-Forero, Santiago and Pag\`{e}s, R. and Angulo, Jesus},
title = {Learnable Empirical Mode Decomposition based on Mathematical Morphology},
journal = {SIAM Journal on Imaging Sciences},
volume = {15},
number = {1},
pages = {23-44},
year = {2022},
}

Several examples of this library are available at: Examples

ECSIA mini-cours (Mathematical morphology meets Deep Learning)

Santiago VELASCO-FORERO, Samy BLUSSEAU, Mateus SANGALLI
Centre de Morphologie Mathématique
MINES ParisTech, PSL Research University

Talks:

• Introduction
• Deep Learning in 15 minutes
• Mathematical morphology: Learning simple operators
• Depthwise Morphological Layers
• Morphological Scale-Spaces

Practical Sessions:

• Tutorial 0: Deep Learning in 15 minutes

  • https://colab.research.google.com/drive/1rnjLWgqgsZJO5n_g0YROg3CS3WIMYTUs?usp=sharing

• Tutorial 1: Simple morphological operators using morpholayers

  • https://colab.research.google.com/drive/1RuPQ-qHZcpYqOlrM2_jbA0k9RO9AaJDt?usp=sharing

• Tutorial 2: Learning morphological operators

  • https://colab.research.google.com/drive/12c9dZn_0hx_bzXcbXcI7hmnnlRP2op7D?usp=sharing

• Tutorial 3: Learning morphological layers in Fashion Mnist

  • https://colab.research.google.com/drive/1IEwKAt9OqdRyY3kyH9KWX1O1MxmD99LS?usp=sharing

• Tutorial 4: Improving Max-Pooling layers using Dilations

  • https://colab.research.google.com/drive/1Nr0fIPIIHGmXcwa3hZM5ijrZiZyWL0Yt?usp=sharing

• Tutorial 5: Learning Additive Shift Equivariant Operators

  • https://colab.research.google.com/drive/1mzzqZa0n0ugpS0RJ1Ar1d8ZKA3-YQ3eI?usp=sharing

• Tutorial 6: Learning Scale-Equivariant Operators

  • https://colab.research.google.com/drive/1Jy7Z4LUJCUG86mVz0akSRGHq1aaCutSl?usp=sharing