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 gradient vector flow (GVF) model has been widely used in the field of computer image
segmentation. In order to achieve better results in image processing, there are many …

Gradient vector flow (GVF) and generalized GVF (GGVF) have been widely applied in many
image processing applications. The high cost of GVF/GGVF computation, however, has …

The gradient vector flow (GVF) is an effective external force to deform the active contours.
However, it suffers from high computational cost. For efficiency, the virtual electric field (VEF) …

Watershed based modification of intelligent scissors has been developed. This approach
requires a preprocessing phase with anisotropic diffusion to reduce subtle edges. Then, the …

In this paper we propose to solve a range of computational imaging problems under a
unified perspective of a regularized weighted least-squares (RWLS) framework. These …

In this work, the parallel implementation of a segmentation algorithm based on the gradient
vector flow (GVF) deformable model in a graphics processing unit (GPU) is presented. The …

Segmentation of the left ventricle (LV) is a hot topic in cardiac magnetic resonance (MR)
images analysis. To make thorough use of the anatomical and functional information, it is …

Gradient vector flow (GVF) and its generalization have been widely applied in many image
processing applications. The high cost of GVF computation, however, has restricted their …

In this paper, we introduce multi-symplectic Lagrangian variational integrators for solving
Chan-Vese active contour models in image segmentation. Energy functionals are …