Abstract We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start f...
Thomas Schoenemann, Fredrik Kahl, Simon Masnou, Da...
In this paper we present a novel class-based segmentation method, which is guided by a stored representation of the shape of objects within a general class (such as horse images). ...
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Abstract. Interaction increases flexibility of segmentation but it leads to undesirable behaviour of an algorithm if knowledge being requested is inappropriate. In region growing, ...
In this paper, we describe an unsupervised segmentation method for contours which proves quite adapted for the images obtained by electronic acquisition. We present two statistica...