Corresponding Author: Qusay Omran Mosa Faculty of Information Science and Technology, University Kebangsaan Malaysia, Malaysia Email: [email protected] Abstract: Active contours also known as snakes became a familiar and widely used in the field of image segmentation and restoration of historical documents in last few decades. Gradient Vector Flow (GVF) snake successes in overcome of converge...

In order to segment nucleus and cytoplasm of single cervical cell in the semear images accurately, a novel Gradient Vector Field (GVF) Snake is proposed by improving edge map of GVF Snake (PGVF) to enhance the capacity of the active contour model of gradient vector field to locate the boundary of nuclei and cytoplasmic. In our method, the image is converted into polar coordinates and the Sobel ...

An extension of the gradient vector flow snake (GVF snake) is presented. The method is based on combining two other external forces. First, the adaptive balloon force has been developed to increase the GVF snake’s capture range and convergence speed. Then, a dynamic GVF force is introduced to provide an efficient evolution-stop mechanism. In this way, we prevent the snake from breaking through ...

The Gradient Vector Flow (GVF) is a vector diffusion approach based on Partial Differential Equations (PDEs). This method has been applied together with snake models for boundary extraction medical images segmentation. The key idea is to use a diffusion-reaction PDE to generate a new external force field that makes snake models less sensitivity to initialization as well as improves the snake’s ...

Image segmentation for detection of vessel walls is necessary for quantitative assessment of vessel diseases by intravascular ultrasound. A new segmentation method based on gradient vector flow (GVF) snake model is proposed in this paper. The main characteristics of the proposed method include two aspects: one is that nonlinear filtering is performed on GVF field to reduce the critical points, ...

Infrared image segmentation is a challenging topic because infrared images are characterized by high noise, low contrast, and weak edges. Active contour models, especially gradient vector flow, have several advantages in terms of infrared image segmentation. However, the GVF (Gradient Vector Flow) model also has some drawbacks including a dilemma between noise smoothing and weak edge protection...

Skeletons of an object have a variety of applications, such as automatic path generation, shape matching, identification, and classification. In this paper, we introduce a method to detect the critical points of skeletons, then skeletons of an object can be generated by linking the detected critical points. The method is based on concepts from 2-D phase plane analysis of the linear Gradient Vec...

Poor convergence to concave boundaries is a limitation in the use of snakes as a contour approximation technique. The external force for active contours, called gradient vector flow (GVF), has provided a remarkable improvement to this problem. However, the technique requires high computation time for reliable concavity performance. In this paper, we propose an efficient solution to overcome the...

In this research, characterization of Discrete Cosine Transform (DCT) based Gradient Vector Flow (GVF) Active Contours as a boundary mapping technique for chromosome spread images is done. Statistical testing validates the experimental results of characterization. Investigations on a different dataset are carried out to validate the characterized parameters that govern the formulation of the DC...

Gradient vector flow (GVF) is an effective external force for active contours; however, it suffers from heavy computation load. The virtual electric field (VEF) model, which can be implemented in real time using fast Fourier transform (FFT), has been proposed later as a remedy for the GVF model. In this work, we present an extension of the VEF model, which is referred to as CONvolutional Virtua...