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

In this paper, we present a complete and practical algorithm for the approximation of level-
set-based curve evolution suitable for real-time implementation. In particular, we propose a …

In this paper we propose a novel implementation of the level set method that achieves real-
time level-set-based video tracking. In our fast algorithm, the evolution of the curve is …

We propose an approach to region tracking that is derived from a Bayesian formulation. The
novelty of the approach is twofold. First, no motion field or motion parameters need to be …

Handbook of Biomedical Image Analysis: Segmentation Models (Volume II) is dedicated to
the segmentation of complex shapes from the field of imaging sciences using different …

In this paper, we propose a novel and fast level set method without the need for solving
PDEs (partial differential equations) while preserving the advantages of level set methods …

Electron microscopy is an important modality for the analysis of neuronal structures in
neurobiology. We address the problem of tracking axons across large distances in volumes …

We describe an approach for automation of the process of reconstruction of neural tissue
from serial section transmission electron micrographs. Such reconstructions require 3D …

Implicit active contours are a very flexible technique in the segmentation of digital images. A
novel type of hardware implementation is presented here to approach real time applications …

Segmentation of motion in an image sequence is one of the most challenging problems in
image processing, while at the same time one that finds numerous applications. To date, a …