In the field of image segmentation, most of level-set-based active contour approaches are based on a discrete representation of the associated implicit function. We present in thi...
Olivier Bernard, Denis Friboulet, Philippe Th&eacu...
In this paper, a new image-matching mathematical model is presented for the mammogram registration. In a variational framework, an energy minimization problem is formulated and a m...
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
This paper addresses the problem of correspondence establishment in binocular stereo vision. We suggest a novel variational approach that considers both the discontinuities and oc...
Five image segmentation algorithms are evaluated: mean shift, normalised cuts, efficient graph-based segmentation, hierarchical watershed, and waterfall. The evaluation is done us...