The Olena Image Processing Platform
Olena is a platform dedicated to image processing and pattern recognition. Its core component is a generic and efficient C++ library called Milena. Milena provides a framework to implement simple, fast, safe, reusable and extensible image processing tool chains. The library provides many ready-to-use image data structures (regular 1D, 2D, 3D images, graph-based images, etc.) and algorithms. Milena's algorithms are built upon classical entities from the image processing field (images, points/sites, domains, neighborhoods, etc.). This design allows image processing developers and practitioners to easily understand, modify, develop and extend new algorithms while retaining the core traits of Milena: genericity and efficiency.
On top of Milena, the Olena platform also features optional modules such as Swilena, a component exposing Milena to other languages thanks to the Simplified Wrapper and Interface Generator (SWIG); and the SCRIBO module for Document Image Analysis.
The Olena platform is Free Software. It is distributed under the conditions of the GNU General Public License (GPL) version 2.
Get Olena from the Download page.
Olena is Free Software. It is released under the conditions of the GNU General Public License version 2.
- Publication Segmentation d'IRM de cerveaux de nouveau-nés en quelques secondes à l'aide d'un réseau de neurones convolutif pseudo-3D et de transfert d'apprentissage in Actes du 26e Colloque GRETSI — 20 June 2017
- Publication Well-Composedness in Alexandrov spaces implies Digital Well-Composedness in Z^n in Discrete Geometry for Computer Imagery -- Proceedings of the 20th IAPR International Conference on Discrete Geometry for Computer Imagery (DGCI) — 13 June 2017
- Publication From Neonatal to Adult Brain MR Image Segmentation in a Few Seconds Using 3D-Like Fully Convolutional Network and Transfer Learning in Proceedings of the 23rd IEEE International Conference on Image Processing (ICIP) — 13 June 2017
- Publication Object tracking by hierarchical decomposition of hyperspectral video sequences: application to chemical gas plume tracking in IEEE Transactions on Geoscience and Remote Sensing — 20 April 2017
- Publication La pseudo-distance du dahu in Actes d'ORASIS — 21 March 2017
- Publication Introducing the Dahu Pseudo-Distance in Mathematical Morphology and Its Application to Signal and Image Processing -- Proceedings of the 13th International Symposium on Mathematical Morphology (ISMM) — 23 February 2017
The C++ library of Olena is Milena. It contains:
- different image types
- many tools to ease programming image processing tasks
- a collection of image processing operators.
Several modules based upon Milena are available from the Modules page. They provide solutions to particular tasks of image processing, whereas the library focuses on general-purpose facilities for image processing. Practically modules are:
- source code related to our publications (we advocate reproducible research!)
- source code of our participation to contests
- source code of projects we are involved with.
Development, Resources and Communication
- Olena Git Web: Browsable Git repository of Olena (git://git.lrde.epita.fr/olena).
- Olena Trac: Project development is managed through Trac.
- The following mailing lists are the main medium to discuss Olena: