The ASEMI Segmenter is a Python library for the automatic segmentation of 3D tomography images using machine learning. The ASEMI Segmenter also contains a number of executable scripts implementing various stages of the automatic segmentation process (such as volume preprocessing, model training, and full-volume segmentation).
The software is the product of the Automated SEgmentation of Microtomography Imaging (ASEMI) project, led by the University of Malta in partnership with the European Synchrotron Radiation Facility (ESRF). This project has received funding from the ATTRACT project funded by the EC under Grant Agreement 777222.
Documentation is available as follows:
- User documentation can be found in the Wiki.
This includes a general introduction to segmentation and instructions for:
- Installing the software
- Preprocessing volumes, training models, and segmenting volumes
- Technical documentation is divided as follows:
- High level technical documentation can be found in the Wiki.
- A discussion of the algorithms used and results on four specimens can be found in our paper: Automated segmentation of microtomography imaging of Egyptian mummies
- Detailed documentation for the API is available in the code.
Contact details:
- For bug reports, use the issue tracker
- For details on the project and the people involved, visit the ASEMI webpage.
Copyright © 2020-2021 Marc Tanti and Johann A. Briffa
This file is part of ASEMI-segmenter.
ASEMI-segmenter is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
ASEMI-segmenter is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with ASEMI-segmenter. If not, see http://www.gnu.org/licenses/.