We propose a simple probabilistic generative model for image segmentation. Like other probabilistic algorithms (such as EM on a Mixture of Gaussians) the proposed model is princip...
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
A nonparametric Bayesian model for histogram clustering is proposed to automatically determine the number of segments when Markov Random Field constraints enforce smooth class assi...
Abstract. In the context of image-guided TIPS (Transjugular, Intrahepatic, Portosystemic Shunt formation) surgery, the pose of a 3-dimensional model of the liver's vasculature...
Julien Jomier, Elizabeth Bullitt, Mark H. Van Horn...
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...