In modern days, image segmentation is one of the most important processing step in the
field of computer vision and image processing. It helps to identify object, reconstruct shape …

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 …

This paper introduces a novel aerial building detection method based on region orientation
as a new feature, which is used in various steps throughout the presented framework. As …

This letter proposes an approach for building detection from single very high resolution
optical satellite images by fusing the knowledge of shadow and urban area information. One …

Image corner detection is a fundamental task in computer vision. Many applications require
reliable detectors to accurately detect corner points, commonly achieved by using image …

This letter addresses the automatic detection of urban area in remotely sensed images. As
manual administration is time consuming and unfeasible, researchers have to focus on …

The cucumber is one of the most important crops worldwide and, because it is generally
consumed fresh, it must be classified into quality categories. The European classification …

Automatic segmentation of bone in computed tomography (CT) images is critical for the
implementation of computer-assisted diagnosis which has increasing potential in the …

Abstract Existing Active Contour methods suffer from the deficiencies of initialization
sensitivity, slow convergence, and being insufficient in the presence of image noise and …