Using a geometric formulation of annular-like shape priors for constraining variational level-sets
Martino Alessandrini, Thomas Dietenbeck, O. Basset, Denis P. Friboulet, Olivier Bernard · 2010
In this paper we address the segmentation of shapes which may be approximated by two elliptical contours. Such patterns are indeed recurrent in many image processing applications. In this context, we develop a level-set framework especially dedicated to the detection of annular-like shapes. The behavior of this approach is illustrated on images from different fields. An evaluation is then performed for myocardium detection in medical images.