C-CRAFT software


The C-CRAFT software written
in C++ 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.

Software distribution

C-CRAFT demonstration

You can try C-CRAFT on our mobyle web portal: Try C-CRAFT

C-CRAFT plugin

C-CRAFT is also available on the Icy platform


T. P├ęcot, P. Bouthemy, J. Boulanger, A. Chessel, S. Bardin, J. Salamero et C. Kervrann. Background fluorescence estimation and vesicle segmentation in live cell imaging with conditional random fields. Transactions on Image Processing, 24(2): 667-680, 2014. DOI: [[http://dx.doi.org/10.1109/TIP.2014.2380178| 10.1109/TIP.2014.2380178 ]]

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