Image segmentation refers to the process to divide an image into meaningful non-
overlap** 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) …

Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment,
and study relies on non-invasive imaging. Algorithms for stroke lesion segmentation from …

Alternating direction methods are a common tool for general mathematical programming
and optimization. These methods have become particularly important in the field of …

The formulation _ x, y~ f (x)+ g (y),\quad subject to Ax+ By= b, min x, yf (x)+ g (y), subject to A
x+ B y= b, where f and g are extended-value convex functions, arises in many application …

In this paper, we propose a unified primal-dual algorithm framework for two classes of
problems that arise from various signal and image processing applications. We also show …

As a non-invasive imaging modality, optical coherence tomography (OCT) can provide
micrometer-resolution 3D images of retinal structures. These images can help reveal …

Analogous to the connection between Bregman iteration and the method of multipliers that
was pointed out in [59], we show that a similar connection can be made between the split …

Convex nonsmooth optimization problems, whose solutions live in very high dimensional
spaces, have become ubiquitous. To solve them, the class of first-order algorithms known as …

We propose a new definition for the gradient field of a discrete image defined on a twice
finer grid. The differentiation process from an image to its gradient field is viewed as the …