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 Intervertebral Disc Segmentation Using Mathematical Morphology—A CNN-Free Approach in Proceedings of the 5th MICCAI Workshop & Challenge on Computational Methods and Clinical Applications for Spine Imaging (CSI) —
- Publication Segmentation of Gliomas and Prediction of Patient Overall Survival: A Simple and Fast Procedure. in Proceedings of the Workshop on Brain Lesions (BrainLes)in conjunction with MICCAI —
- Publication Deep Neural Networks for Aberrations Compensation in Digital Holographic Imaging of the Retina in Proceedings of the SPIE Conference on Adaptive Optics and Wavefront Control for Biological Systems V —
- Publication An Image Processing Library in Modern C++: Getting Simplicity and Efficiency with Generic Programming in Proceedings of the 2nd Workshop on Reproducible Research in Pattern Recognition (RRPR) —
- Publication Left Atrial Segmentation In a Few Seconds Using Fully Convolutional Network and Transfer Learning in Proceedings of the Workshop on Statistical Atlases and Computational Modelling of the Heart (STACOM), in conjunction with MICCAI —
- Publication Weakly Well-Composed Cell Complexes over nD Pictures in Information Sciences —
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: