Medical image segmentation, the task of partitioning an image into meaningful parts, is an
important step toward automating medical image analysis and is at the crux of a variety of …

We propose a new model for active contours to detect objects in a given image, based on
techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level …

A new method for real time tracking of non-rigid objects seen from a moving camera is
proposed. The central computational module is based on the mean shift iterations and finds …

This paper presents a new variational framework for detecting and tracking multiple moving
objects in image sequences. Motion detection is performed using a statistical framework for …

In this paper, we propose a new model for active contours to detect objects in a given image,
based on techniques of curve evolution, Mumford-Shah functional for segmentation and …

This book provides an introduction to the use of geometric partial differential equations in
image processing and computer vision. This research area brings a number of new …

This paper presents a novel variational framework to deal with frame partition problems in
Computer Vision. This framework exploits boundary and region-based segmentation …

The systems-level analysis of complex biological processes requires methods that enable
the quantification of a broad range of phenotypical alterations, the precise localization of …

This paper presents a novel variational framework for dealing with frame partition problems
in computer vision by the propagation of curves. This framework integrates boundary-and …

We consider the problem of segmenting an image through the minimization of an energy
criterion involving region and boundary functionals. We show that one can go from one class …