* morphological representations (min/max-tree, Tree of Shapes)
* segmentation algorithms (watersheds)
If you want to see more of what is in the library, have a look on the [C++ Documentation](http://olena.pages.lrde.epita.fr/pylene/)
## Why is Pylene singular when compared to other libraries ?
* It is generic: it allows to write a single algorithm that could be apply on all compatibles image types
* It enables lazy-computing with a view system similar to the Boost Generic Image Library
Have a look on the [introduction]((http://olena.pages.lrde.epita.fr/pylene/intro)
# Other ressources
## Presentations
Other resources (mind the dates, the library probably has changed since then):
*[A Modern C++ Library for Generic and Efficient Image Processing (GTGDMM'18)](https://www.lrde.epita.fr/dload/presentations/2018-06-19-geraud.2018.gtgdmmm.pdf)