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...
This study investigates variational image segmentation with an original data term, referred to as statistical overlap prior, which measures the conformity of overlap between the no...
We present an energy based automatic image segmentation algorithm that uses a novel active contour scheme, called the stochastic active contour scheme (STACS). The algorithm overc...
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...
Abstract. In this paper, we present an approach for image segmentation, based on the existing Active Snake Model and Watershed-based Region Merging. Our algorithm includes initial ...