The Mumford--Shah model is one of the most important image segmentation models and
has been studied extensively in the last twenty years. In this paper, we propose a two-stage …

With the ever-increasing amount and complexity of remote sensing image data, the
development of large-scale image segmentation analysis algorithms has not kept pace with …

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

Image segmentation is of great importance in image processing. In this paper, we propose a
two-stage image segmentation strategy based on the nonconvex ℓ 2− ℓ p approximation of …

In this paper, a two-stage method for segmenting blurry images in the presence of Poisson
or multiplicative Gamma noise is proposed. The method is inspired by a previous work on …

Though numerous segmentation algorithms have been proposed to segment brain tissue
from magnetic resonance (MR) images, few of them consider combining the tissue …

In the process of designing and analyzing the yarn‐dyed fabric, the yarn color pattern has an
important effect on the appearance of the fabric. An automatic color pattern recognition …

We propose a new variant of the Mumford-Shah model for simultaneous bias correction and
segmentation of images with intensity inhomogeneity. First, based on the model of images …

In this paper, we propose a Smoothing, Lifting and Thresholding (SLaT) method with three
stages for multiphase segmentation of color images corrupted by different degradations …

Abstract The Chan-Vese model is very popular for image segmentation. Technically, it
combines the reduced Mumford-Shah model and level set method (LSM). This segmentation …