Section: New Software and Platforms

C-CRAFT

Keyword: Biomedical imaging

Functional Description:  The C-Craft software enables to jointly segment small particles and estimate background in 2D or 3D fluorescence microscopy image sequences. The vesicle segmentation and background estimation problem is formulated as a global energy minimization problem in the Conditional Random Field framework. A patch-based image representation is used to detect spatial irregularity in the image. An iterative scheme based on graph-cut algorithm is proposed for energy minimization.

• Participants: Thierry Pécot, Charles Kervrann, Patrick Bouthemy, Jean Salamero.

• Contact: Thierry Pécot, Charles Kervrann.

• On-line demo:  http://mobyle-serpico.rennes.inria.fr/cgi-bin/portal.py#forms::C-CRAFT

• Languages:  C/C++ and Java (plug-in Icy : http://icy.bioimageanalysis.org/plugin/C-CRAFT )

• Reference:  [26]