A novel level set method (LSM) with the constraint of shape priors is proposed to implement
a selective image segmentation. Firstly, the shape priors are aligned by using image …

Image segmentation plays an important role in many medical imaging systems, yet in
complex circumstances it remains an open problem. One of the main difficulties is the …

Intensity inhomogeneity often causes considerable difficulties in image segmentation. To
tackle this problem, we propose a new region-based level set method. The proposed …

Image segmentation plays an important role in many medical imaging systems, yet in
complex circumstances it is still a challenging problem. Among many difficulties, problem …

In this paper, an efficient hybrid level set (HLS) model is proposed for segmenting the
images with intensity inhomogeneity, which is a difficult problem for traditional region-based …

The development of computer vision and medical treatment has driven the development of
the medical image. At the same time, as one of the key technologies of medical image …

In this study, a novel probabilistic, geometric and dynamic shape‐based level sets method is
proposed. The shape prior is coupled with the intensity information to enhance the …

When the level set algorithm is used to segment an image, the level set function must be
initialized periodically to ensure that it remains a signed distance function (SDF). To avoid …

Intensity inhomogeneity arising from the imperfect image acquisition process is a major
challenge for image segmentation. Most of widely used image segmentation methods …

For image segmentation with intensity inhomogeneity, many region-based level set methods
have been proposed. Some of them however can't get the relatively ideal segmentation …