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An intensity-texture model based level set method for image segmentation
In this paper, a novel level set segmentation model integrating the intensity and texture
terms is proposed to segment complicated two-phase nature images. Firstly, an intensity …
terms is proposed to segment complicated two-phase nature images. Firstly, an intensity …
Segmentation of the pulmonary vascular trees in 3D CT images using variational region-growing
M Orkisz, MH Hoyos, VP Romanello, CP Romanello… - Irbm, 2014 - Elsevier
Objectives The long-term goal of this project is to quantify the aeration of lung parenchyma
in 3D CT scans of patients with acute respiratory distress syndrome. This task requires lung …
in 3D CT scans of patients with acute respiratory distress syndrome. This task requires lung …
Variational and PCA based natural image segmentation
This paper introduces a novel variational segmentation method within the fuzzy framework,
which solves the problem of segmenting multi-region color-scale images of natural scenes …
which solves the problem of segmenting multi-region color-scale images of natural scenes …
A multiscale image segmentation method
Y Li, X Feng - Pattern Recognition, 2016 - Elsevier
This paper presents a novel image segmentation framework that combines image
segmentation and feature extraction into a unified model. The proposed model consists of …
segmentation and feature extraction into a unified model. The proposed model consists of …
Region-based pose tracking with occlusions using 3d models
C Schmaltz, B Rosenhahn, T Brox… - Machine vision and …, 2012 - Springer
Despite great progress achieved in 3-D pose tracking during the past years, occlusions and
self-occlusions are still an open issue. This is particularly true in silhouette-based tracking …
self-occlusions are still an open issue. This is particularly true in silhouette-based tracking …
Variational fuzzy Mumford–Shah model for image segmentation
In this paper, we propose a variational fuzzy Mumford–Shah model for image segmentation.
The model is based on the assumption that an image can be approximated by the product of …
The model is based on the assumption that an image can be approximated by the product of …
Multiphase Soft Segmentation with Total Variation and H 1 Regularization
In this paper, we propose a variational soft segmentation framework inspired by the level set
formulation of multiphase Chan-Vese model. We use soft membership functions valued in [0 …
formulation of multiphase Chan-Vese model. We use soft membership functions valued in [0 …
Joint variational segmentation of CT-PET data for tumoral lesions
J Wojak, ED Angelini, I Bloch - 2010 IEEE international …, 2010 - ieeexplore.ieee.org
Medical imaging, used for both diagnosis and therapy planning, is evolving towards multi-
modality acquisition protocols. Manual segmentation of 3D images is a tedious task and …
modality acquisition protocols. Manual segmentation of 3D images is a tedious task and …
Unsupervised MRI segmentation of brain tissues using a local linear model and level set
D Rivest-Hénault, M Cheriet - Magnetic resonance imaging, 2011 - Elsevier
Real-world magnetic resonance imaging of the brain is affected by intensity nonuniformity
(INU) phenomena which makes it difficult to fully automate the segmentation process. This …
(INU) phenomena which makes it difficult to fully automate the segmentation process. This …
Non-Euclidean image-adaptive radial basis functions for 3D interactive segmentation
In the context of variational image segmentation, we propose a new finite-dimensional
implicit surface representation. The key idea is to span a subset of implicit functions with …
implicit surface representation. The key idea is to span a subset of implicit functions with …