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A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
Intensity inhomogeneity often occurs in real-world images, which presents a considerable
challenge in image segmentation. The most widely used image segmentation algorithms are …
challenge in image segmentation. The most widely used image segmentation algorithms are …
Evaluation of current dental radiographs segmentation approaches in computer-aided applications
With a wide variety researches on Image segmentation techniques in biomedical and
bioinformatics area, it is important to analyze the performance of these approaches in …
bioinformatics area, it is important to analyze the performance of these approaches in …
Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation
This paper proposes a new energy minimization method called multiplicative intrinsic
component optimization (MICO) for joint bias field estimation and segmentation of magnetic …
component optimization (MICO) for joint bias field estimation and segmentation of magnetic …
Active contours driven by local Gaussian distribution fitting energy
This paper presents a new region-based active contour model in a variational level set
formulation for image segmentation. In our model, the local image intensities are described …
formulation for image segmentation. In our model, the local image intensities are described …
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 …
Confirmation of a gyral bias in diffusion MRI fiber tractography
Diffusion MRI fiber tractography has been increasingly used to map the structural
connectivity of the human brain. However, this technique is not without limitations; for …
connectivity of the human brain. However, this technique is not without limitations; for …
Robust level set image segmentation via a local correntropy-based K-means clustering
It is still a challenging task to segment real-world images, since they are often distorted by
unknown noise and intensity inhomogeneity. To address these problems, we propose a …
unknown noise and intensity inhomogeneity. To address these problems, we propose a …
Automatic segmentation of neonatal images using convex optimization and coupled level sets
Accurate segmentation of neonatal brain MR images remains challenging mainly due to
their poor spatial resolution, inverted contrast between white matter and gray matter, and …
their poor spatial resolution, inverted contrast between white matter and gray matter, and …
Active contour-based method for finger-vein image segmentation
J Zhang, Z Lu, M Li - IEEE Transactions on Instrumentation and …, 2020 - ieeexplore.ieee.org
Suffering from uneven illumination and variation of finger position, it is still a tough challenge
to effectively distinguish the vein networks and nonvenous regions in a finger-vein image …
to effectively distinguish the vein networks and nonvenous regions in a finger-vein image …
Macroalgae monitoring from satellite optical images using Context-sensitive level set (CSLS) model
Automatically detecting macroalgae from optical remote sensing images has been a long-
standing problem in ocean monitoring. Existing operational spectral-based techniques tend …
standing problem in ocean monitoring. Existing operational spectral-based techniques tend …