Image segmentation refers to the process to divide an image into meaningful non-
overlapping regions according to human perception, which has become a classic topic since …

Image segmentation is one of the most basic tasks in computer vision and remains an initial
step of many applications. In this paper, we focus on interactive image segmentation (IIS) …

High-quality training data play a key role in image segmentation tasks. Usually, pixel-level
annotations are expensive, laborious and time-consuming for the large volume of training …

Intensity inhomogeneity and noise are two common issues in images but inevitably lead to
significant challenges for image segmentation and is particularly pronounced when the two …

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

As a natural way for human-computer interaction, fixation provides a promising solution for
interactive image segmentation. In this paper, we focus on Personal Fixations-based Object …

Automated segmentation of fine objects details in a given image is becoming of crucial
interest in different imaging fields. In this paper, we propose a new variational level-set …

We propose a novel interactive cosegmentation method using global and local energy
optimization. The global energy includes two terms: 1) the global scribbled energy and 2) …

The problem of segmenting a foreground object out from its complex background is of great
interest in image processing and computer vision. Many interactive segmentation algorithms …

Automatic detection of road regions in aerial images remains a challenging research topic.
Most existing approaches work well on the requirement of users to provide some seedlike …