Medical image segmentation based on novel local order energy
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 …
complex circumstances it is still a challenging problem. Among many difficulties, problem …
A unified level set framework utilizing parameter priors for medical image segmentation
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 …
complex circumstances it remains an open problem. One of the main difficulties is the …
Region-based image segmentation with local signed difference energy
L Wang, H Wu, C Pan - Pattern Recognition Letters, 2013 - Elsevier
Intensity inhomogeneity often causes considerable difficulties in image segmentation. To
tackle this problem, we propose a new region-based level set method. The proposed …
tackle this problem, we propose a new region-based level set method. The proposed …
A new level set method for inhomogeneous image segmentation
F Dong, Z Chen, J Wang - Image and Vision Computing, 2013 - Elsevier
Intensity inhomogeneity often appears in medical images, such as X-ray tomography and
magnetic resonance (MR) images, due to technical limitations or artifacts introduced by the …
magnetic resonance (MR) images, due to technical limitations or artifacts introduced by the …
A new energy framework with distribution descriptors for image segmentation
Segmentation of the target object (s) from images that have multiple complicated regions,
mixture intensity distributions or are corrupted by noise poses a challenge for the level set …
mixture intensity distributions or are corrupted by noise poses a challenge for the level set …
Level set based image segmentation with multiple regions
T Brox, J Weickert - Joint Pattern Recognition Symposium, 2004 - Springer
We address the difficulty of image segmentation methods based on the popular level set
framework to handle an arbitrary number of regions. While in the literature some level set …
framework to handle an arbitrary number of regions. While in the literature some level set …
Local variance-driven level set model with application to segment medical images
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 …
the medical image. At the same time, as one of the key technologies of medical image …
Weighted level set evolution based on local edge features for medical image segmentation
Level set methods have been widely used to implement active contours for image
segmentation applications due to their good boundary detection accuracy. In the context of …
segmentation applications due to their good boundary detection accuracy. In the context of …
Medical image segmentation based on level set with new local fitting energy
C Shen, H Yu, X Liu, W Chen - 2010 International Conference …, 2010 - ieeexplore.ieee.org
In this paper, we define the fitting energy by a new kernel function, which is to do in the
range of an image what traditional filters do a small neighborhood of the same location. We …
range of an image what traditional filters do a small neighborhood of the same location. We …
Robust model for segmenting images with/without intensity inhomogeneities
Intensity inhomogeneities and different types/levels of image noise are the two major
obstacles to accurate image segmentation by region-based level set models. To provide a …
obstacles to accurate image segmentation by region-based level set models. To provide a …