▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by
automating or facilitating the delineation of anatomical structures and other regions of …

This article surveys deformable models, a promising and vigorously researched computer-
assisted medical image analysis technique. Among model-based techniques, deformable …

A novel scheme for the detection of object boundaries is presented. The technique is based
on active contours evolving in time according to intrinsic geometric measures of the image …

Partial differential equations (PDEs) have led to an entire new field in image processing and
computer vision. Hundreds of publications have appeared in the last decade, and PDE …

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 …

Vessel segmentation algorithms are the critical components of circulatory blood vessel
analysis systems. We present a survey of vessel extraction techniques and algorithms. We …

AIM To recognise automatically the main components of the fundus on digital colour images.
METHODS The main features of a fundus retinal image were defined as the optic disc …

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 …

We employ the new geometric active contour models, previously formulated, for edge
detection and segmentation of magnetic resonance imaging (MRI), computed tomography …

This paper presents a method that uses the level sets of volumes to reconstruct the shapes
of 3D objects from range data. The strategy is to formulate 3D reconstruction as a statistical …