Variational selective image segmentation models aim to extract a particular object in an
image depending on a set of user-defined prior points. The current model suffers from high …

Selective image segmentation is one of the most significant subjects in medical imaging and
real-world applications. We present a robust selective segmentation model based on local …

Many variational models for image segmentation can be seen in the literature and most of
them uses image data fidelity term which involves a given image information only. Usually …

Variational active contour seeks to segment or extract desired object boundaries for further
analysis. The model can be divided into global segmentation and selective segmentation …

One of the crucial challenges in the area of image segmentation is intensity inhomogeneity.
For most of the region-based models, it is not easy to completely segment images having …

Selective image segmentation is an important topic in medical imaging and real
applications. In this paper, we propose a weighted variational selective image segmentation …

Landmarks are prior image features for a variety of computer vision tasks. In the image
processing domain, research on image segmentation methods has always been a …

Selective segmentation aims to separate a subset of target objects or regions of interests in
an image. It is widely used in medical image analysis for some specific tasks such as …

The variational level set model is widely used in image segmentation. However, it suffers
from the limited performance when the images are contaminated by noise and intensity …

We propose a convex image segmentation model in a variational level set formulation. Both
the local information and the global information are taken into consideration to get better …