Olena
From LRDE
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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.
See the Overview of Olena for a longer introduction to the project. French speaking readers can also look at the article introducing Olena 1.0 in L'air de rien 17.
Downloads
Get Olena from the Download page.
License
Olena is Free Software. It is released under the conditions of the GNU General Public License version 2.
Latest News
- Publication Euler Well-Composedness in Combinatorial Image Analysis: Proceedings of the 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020 —
- Publication A 4D Counter-Example Showing that DWCness Does Not Imply CWCness in n-D in Combinatorial Image Analysis: Proceedings of the 20th International Workshop, IWCIA 2020, Novi Sad, Serbia, July 16–18, 2020 —
- Publication A New Minimum Barrier Distance for Multivariate Images with Applications to Salient Object Detection, Shortest Path Finding, and Segmentation in Computer Vision and Image Understanding —
- Publication Using Separated Inputs for Multimodal Brain Tumor Segmentation with 3D U-Net-like Architectures in Proceedings of the 4th International Workshop, BrainLes 2019, Held in Conjunction with MICCAI 2019 —
- Publication Improvement of a text detection chain and the proposition of a new evaluation protocol for text detection algorithms —
- Publication A Two-Stage Temporal-Like Fully Convolutional Network Framework for Left Ventricle Segmentation and Quantification on MR Images in Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges—10th International WorkshopSTACOM 2019, Held in Conjunction with MICCAI 2019Shenzhen, China, October 13, 2019, Revised Selected Papers —
Milena
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:
- Olena: General questions, discussions and announcements.
- Olena bugs: Bug reports about the platform. Bug reports welcome!
- Olena patches: Patches and related discussions. Patch proposals welcome!