4. O. Duchenne, J-Y. Audibert: Fast interactive segmentation using color and textural information

This work presents an efficient method for image multi-zone segmentation under human supervision. We combine different techniques to produce an intelligent segmentation. As most of the segmentation methods, our algorithm is based on an energy minimization. This energy contains a data-dependent term and a cohesion term.
Our data-consistent term is based on a SVM method designed in order to deal with color and textural information.
For the coherence term, we use a classic Canny edge detection algorithm to provide another good but not perfect source of information about the limits of the segments. Finally, to minimize the energy, we use a Graph Cut algorithm.
We compare our results on an image data bank available on-line.