This paper presents a novel deformable model for accurate delineation of regions of interest in medical images that contain regional inhomogeneities. Such images are common in var...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Mic...
Abstract. We present a method for finding the boundaries between adjacent regions in an image, where “seed” areas have already been identified in the individual regions to be...
Thouis R. Jones, Anne E. Carpenter, Polina Golland
In many applications, it is necessary to extract corresponding points automatically. In this study, we present a method of extracting corresponding points automatically from stere...
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
Nadia Bali, Ali Mohammad-Djafari, Adel Mohammadpou...