An N-dimensional image is divided into “object” and “background” segments using a graph
cut approach. A graph is formed by connecting all pairs of neighboring image pixels (voxels) …

Interactive or semi-automatic segmentation is a useful alternative to pure automatic
segmentation in many applications. While automatic segmentation can be very challenging …

This paper proposes a new cost function, cut ratio, for segmenting images using graph-
based methods. The cut ratio is defined as the ratio of the corresponding sums of two …

We present a graph cuts-based image segmentation technique that incorporates an elliptical
shape prior. Inclusion of this shape constraint restricts the solution space of the …

In recent years, interactive methods for segmentation are increasing in popularity due to
their success in different domains such as medical image processing, photo editing, etc. We …

In recent years, the graph cut algorithm has been successfully applied to image
segmentation because it offers numerically robust global minimum. In the graph cut …

Interactive methods are indispensable for real world applications of segmentation in
medicine, at least to allow for convenient and fast verification and correction of automated …

In this paper we describe a new technique for general purpose interactive segmentation of N-
dimensional images. The user marks certain pixels as" object" or" background" to provide …

We present an interactive segmentation method for 3D medical images that reconstructs the
surface of an object using energy-minimizing, smooth, implicit functions. This reconstruction …

We propose a novel kidney segmentation approach based on the graph cuts technique. The
proposed approach depends on both image appearance and shape information. Shape …