Artificial mosaics can be generated making use of computational processes devoted to reproduce different artistic styles and related issues. One of the most challenging field is the generation of an artificial mosaic reproducing some ancient and well known techniques starting from any input image. In this paper we propose a mosaic generation approach based on gradient vector flow (GVF) properly...

This paper presents a method for segmenting bone in magnetic resonance images. The starting point is the formulation of a Gradient Vector Flow (GVF) snake extended to include statistical shape information. This method exploits the diffusion process used by the GVF snake and improves its capacity to deal with occlusion problems by adding a shape term to the traditional scheme. A dataset of coron...

OBJECTIVES Snake or active contours are extensively used in computer vision and medical image processing applications, and particularly to locate object boundaries. Yet problems associated with initialization and the poor convergence to boundary concavities have limited their utility. The new method of external force for active contours, which is called gradient vector flow (GVF), was recently ...

A modified algorithm for segmenting microtomography images is given in this work. The main use of the approach is in visualizing structures and calculating statistical object values. The algorithm uses localized edges to initialise snakes for each object separately then moves curves within the images with the help of gradient vector flow (GVF). This leads to object boundary detection and obtain...

Accurate delineation of object borders is highly desirable in echocardiography, especially at the left ventricle. Among other modelbased techniques, active contours (or snakes) provide a unique and powerful approach to image analysis. In this work, we propose the use of a new external energy for a gradient vector flow (GVF) snake, being the optical flow of a moving sequence (modeling the mechan...

Accurate delineation of object borders is highly desirable in echocardiography, especially the left ventricle. Among other model-based techniques, active contours (or snakes) provide a unique and powerful approach to image analysis. In this work, we propose the use of a novel external energy for a gradient vector flow (GVF) snake. This energy consists of optical flow estimates of heart sequence...

An accurate segmentation of vascular systems is fundamental for many medical applications. Stability against different contrast levels and noise are very important. In this paper we propose an approach for the segmentation of the vascular system of the liver. It is based on the gradient vector flow (GVF) and Frangis vesselness measure. This method avoids multi-scale analysis and related scale s...

In this paper, a novel design of external force for snake is proposed. This kind of external force is actually a field, which we call the Simulated Static Electric Field (SSEF). This field is created by simulated static electric charges, and the forces in this field are computed by the Coulomb’s Law which is used in the analysis of static charge fields. The existing problems, such as the captur...

A new external velocity field for active contours is proposed. The velocity field is based on magnetostatics and hypothesised magnetic interactions between the active contour and image gradients. In this paper, we introduce the method and study its convergence capability for the recovery of shapes with complex topology and geometry, including deep, narrow concavities. The proposed active contou...