Level set methods have been widely used to implement active contours for image
segmentation applications due to their good boundary detection accuracy. In the context of …

Gradient vector flow (GVF) active contour model shows good performance at concavity
convergence and initialization insensitivity, yet it is susceptible to weak edges as well as …

Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR)
images analysis. In this paper, we present an automatic LV myocardial boundary …

Deformable active contour (snake) models are efficient tools for object boundary detection.
Existing alterations of the traditional gradient vector flow (GVF) model have reduced …

Snakes, or active contours, have been widely used in image processing applications. An
external force for snakes called gradient vector flow (GVF) attempts to address traditional …

The active contour model is a widely used technique for automatic object contour extraction.
Existing methods based on this model can perform with high accuracy, even in the case of …

Purpose To develop a semiautomatic method based on level set method (LSM) for carotid
arterial wall thickness (CAWT) measurement. Materials and Methods Magnetic resonance …

Archaeological trace extraction in aerial or satellite data is a difficult issue for automatic
algorithms due to the traces similarity to other image artifacts or to their poor boundary …

Active contours, or snakes, have been widely used for image segmentation purposes.
However, high noise sensitivity and poor performance over weak edges are the most acute …

This paper presents a novel energy function for active contour models based on
autocorrelation function, which is capable of detecting small objects against a cluttered …