Need help or advice ? Come to the Icy club !
- Every Wenesday morning from 9h30 to 12h30 - Francois Jacob Building - Main hall - Pasteur
Don't forget the authors !
If you use this plugin, please cite it in your publication !
This plugin is not rated yet
Please log-in to post a review
by Thierry Pécot
The C-CRAFT software enables to segment particles and estimate background in 2D or 3D image sequences.
We consider a statistical Bayesian approach in the framework of conditional random fields. Within this approach, we take advantage of a robust detection measure for fluorescence microscopy based on the distribution of neighbor patch similarity. We formulate the vesicle segmentation and background estimation as a global energy minimization problem. An iterative scheme to jointly segment vesicles and background is proposed for 2D-3D fluorescence image sequences.
This plugin has no documentation.