Active contour model (ACM) plays an important role in computer vision and medical image
analysis. The traditional ACMs were employed to extract closed contours of objects. While …

A novel region-based active contour model (ACM) is proposed in this paper. It is
implemented with a special processing named Selective Binary and Gaussian Filtering …

For active contour modeling (ACM), we propose a novel self-organizing map (SOM)-based
approach, called the batch-SOM (BSOM), that attempts to integrate the advantages of SOM …

In this paper, we propose a fast centerline extraction method to be used for gradient and
direction vector flow of active contours. The gradient and direction vector flow is a recently …

Active contour methods (ACM) are model-based approaches for image segmentation and
were developed in the late 1980s. ACM can be divided into two classes: parametric active …

Active contour models are widely used in image segmentation. In order to obtain ideal object
boundary, researchers utilize various information to define new models for image …

Abstract Models of geodesic active contour (GAC) cannot usually distinguish one
morphological component from another under conditions of complex textures. This paper …

Active contours are a form of curves that deforms according to an energy minimising function
and are widely used in computer vision and image processing applications to extract …

The active contour model (ACM) approach in image segmentation is regarded as a research
hotspot in the area of computer vision, which is widely applied in different kinds of …

Among the segmentation methods proposed in the literature, the active contour models have
been widely used in medical images segmentation. This is due to their efficiency to capture …