Active contours with selective local or global segmentation: a new formulation and level set method
A novel region-based active contour model (ACM) is proposed in this paper. It is
implemented with a special processing named Selective Binary and Gaussian Filtering …
implemented with a special processing named Selective Binary and Gaussian Filtering …
Robust noise region-based active contour model via local similarity factor for image segmentation
Image segmentation using a region-based active contour model could present difficulties
when its noise distribution is unknown. To overcome this problem, this paper proposes a …
when its noise distribution is unknown. To overcome this problem, this paper proposes a …
Active contours driven by local image fitting energy
A new region-based active contour model that embeds the image local information is
proposed in this paper. By introducing the local image fitting (LIF) energy to extract the local …
proposed in this paper. By introducing the local image fitting (LIF) energy to extract the local …
Active contour model based on local and global intensity information for medical image segmentation
This paper proposes a novel region-based active contour model in the level set formulation
for medical image segmentation. We define a unified fitting energy framework based on …
for medical image segmentation. We define a unified fitting energy framework based on …
A survey of level set method for image segmentation with intensity inhomogeneity
Image segmentation is a fundamental task in computer vision and image processing. Due to
the presence of high noise, low resolution and intensity inhomogeneity, it is still a difficult …
the presence of high noise, low resolution and intensity inhomogeneity, it is still a difficult …
Dental diagnosis from X-ray images: an expert system based on fuzzy computing
Background Computerized medical diagnosis systems from X-Ray images are of great
interest to physicians for accurate decision making of possible diseases and treatments …
interest to physicians for accurate decision making of possible diseases and treatments …
Efficacy of texture, shape, and intensity feature fusion for posterior-fossa tumor segmentation in MRI
S Ahmed, KM Iftekharuddin… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
Our previous works suggest that fractal texture feature is useful to detect pediatric brain
tumor in multimodal MRI. In this study, we systematically investigate efficacy of using several …
tumor in multimodal MRI. In this study, we systematically investigate efficacy of using several …
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 …
Correntropy-based level set method for medical image segmentation and bias correction
This paper presents a novel correntropy-based level set method (CLSM) for medical image
segmentation and bias field correction. Firstly, we build a local bias-field-corrected fitting …
segmentation and bias field correction. Firstly, we build a local bias-field-corrected fitting …
Robust pixel-wise concrete crack segmentation and properties retrieval using image patches
Crack identification is an essential task in periodic inspection and maintenance of buildings.
The application of deep learning based computer vision techniques is increasingly popular …
The application of deep learning based computer vision techniques is increasingly popular …