Since their introduction as a means of front propagation and their first application to edge-
based segmentation in the early 90's, level set methods have become increasingly popular …

This paper presents a new region-based active contour model in a variational level set
formulation for image segmentation. In our model, the local image intensities are described …

State-of-the-art research on MRFs, successful MRF applications, and advanced topics for
future study. This volume demonstrates the power of the Markov random field (MRF) in …

In this paper, we present a new information-theoretic approach to image segmentation. We
cast the segmentation problem as the maximization of the mutual information between the …

We propose a novel and efficient approach for active unsupervised texture segmentation.
First, we show how we can extract a small set of good features for texture segmentation …

We address the issue of textured image segmentation in the context of the Gabor feature
space of images. Gabor filters tuned to a set of orientations, scales and frequencies are …

This paper presents extensions which improve the performance of the shape-based
deformable active contour model presented earlier in [IEEE Conf. Comput. Vision Pattern …

In this article we present the integration of 3-D shape knowledge into a variational model for
level set based image segmentation and contour based 3-D pose tracking. Given the …

We propose a nonlinear statistical shape model for level set segmentation which can be
efficiently implemented. Given a set of training shapes, we perform a kernel density …

Segmentation involves separating an object from the background in a given image. The use
of image information alone often leads to poor segmentation results due to the presence of …