We propose a family of kernels between images, defined as kernels between their respective segmentation graphs. The kernels are based on soft matching of subtree-patterns of the r...
Abstract. We present a fast and accurate tool for semiautomatic segmentation of volumetric medical images based on the live wire algorithm, shape-based interpolation and a new opti...
Andrea Schenk, Guido P. M. Prause, Heinz-Otto Peit...
In this paper, we propose a novel rate-distortion (R-D) optimized disparity based coding scheme for stereo images. This new scheme efficiently integrates the coding of the dispari...
We develop a biologically motivated oscillatory network model and related dynamical synchronizationbased method of image segmentation. The first version of successive segmentation...
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...