https://github.com/ignf/pyram_legacy

IGN implementation of Scale-set Image Analysis, hierarchical image segmentation, from L. Guigues phd at IGN Matis laboratory
https://github.com/ignf/pyram_legacy

Last synced: 7 months ago
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IGN implementation of Scale-set Image Analysis, hierarchical image segmentation, from L. Guigues phd at IGN Matis laboratory

• Host: GitHub
• URL: https://github.com/ignf/pyram_legacy
• Owner: IGNF
• License: agpl-3.0
• Created: 2022-09-21T09:08:01.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-09-18T14:57:06.000Z (over 2 years ago)
• Last Synced: 2025-01-16T09:56:08.014Z (about 1 year ago)
• Language: C++
• Size: 333 KB
• Stars: 2
• Watchers: 10
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# pyram_legacy

Pyram legacy is an IGN implementation of *Scale-set Image Analysis, hierarchical image segmentation* from L. Guigues phd at IGN Matis laboratory 

## Doc

A more complet documentation (WIP) could be found on [github pages](https://ignf.github.io/pyram_legacy/intro.html)

## License

[![License : AGPL v3](https://img.shields.io/badge/license-AGPL3-blue.svg)](https://github.com/IGNF/pyram_legacy/blob/master/LICENSE)

## Bibliography

- [Scale-sets Image Analysis](https://hal.science/hal-00705364/),  Laurent Guigues , Jean Pierre Cocquerez , Hervé Le Men - 2066

- [Modèles Multi-Échelles pour la Segmentation d'Images](http://recherche.ign.fr/labos/matis/pdf/theses/these_guigues.pdf) Laurent Guigues 2003

## Related projects

- [hierarchy labellisation](https://github.com/IGNF/hierarchy_labellisation), a POC made by [EPITA](https://www.epita.fr/en/) students to test a possible reimplementation of Pyram algorithm in Rust and executed client side with wasm.

- [Higra: Hierarchical Graph Analysis](https://github.com/higra/Higra) Higra is a C++/Python library for efficient sparse graph analysis with a special focus on hierarchical methods. A graph could also be an image. A equivalent of pyram algorithms is provided by higra methods [hierarchy_to_optimal_MumfordShah_energy_cut_hierarchy](https://higra.readthedocs.io/en/stable/python/tree_energy_optimization.html#higra.hierarchy_to_optimal_MumfordShah_energy_cut_hierarchy)