Very Large Volume Data Processing
Project description
The aim of this project is to build prototypes and software
solutions for the manipulation of very large data. The data can be
2D, 2D+time, 3D or 3D+time. Typical data contain giga voxels/pixels.
The applications which are currently developed are
- Segmentation of volume data
- Tomographic reconstruction of volume data
- Compression of volume data
Developed tools
The algorithmic solutions addressing those issues are based on
- Graph cuts
- Wavelets and wavelet packets
Environment
The core of the project is written in C, the graphical user
interface is in Qt.
Participants
- Nicolas Lermé (LAGA/LIPN,
University Paris 13)
- Sébastien Li-Thiao-Te (LAGA, University Paris 13)
- François Malgouyres (LAGA,
University Paris 13)
- Jean-Marie Rocchisani (SMBH, University Paris 13)
Contact
Whatever the subject, please feel free to contact us at
Link to the project (password required)
The code is not currently distributed. Only participants to the
project and those having a formal collaboration with us can access
to the code.
Screenshots
- The following screenshot shows 8 slices (parallel to the z axis) of
- a 3D scanner image
- a segmentation (no performed by an expert)
-
- The following screenshot shows 3 orthogonal slices of
- a 3D scanner image
- a segmentation provided to us by an expert
