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» An Adaptive Level Set Method for Medical Image Segmentation
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VISUALIZATION
2005
IEEE
15 years 10 months ago
Surface Reconstruction Via Contour Metamorphosis: An Eulerian Approach With Lagrangian Particle Tracking
We present a robust method for 3D reconstruction of closed surfaces from sparsely sampled parallel contours. A solution to this problem is especially important for medical segment...
Ola Nilsson, David E. Breen, Ken Museth
IBPRIA
2007
Springer
15 years 11 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...
160
Voted
DAGM
2005
Springer
15 years 10 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert
137
Voted
ICIP
2010
IEEE
15 years 3 months ago
Fast and robust active contours for image segmentation
Active models are widely used in applications like image segmentation and tracking. Region-based active models are known for robustness to weak edges and high computational comple...
Wei Yu, Franz Franchetti, Yao-Jen Chang, Tsuhan Ch...
ICIP
2008
IEEE
15 years 11 months ago
Graph-cut optimization of the ratio of functions and its application to image segmentation
Optimizing the ratio of two functions of binary variables is a common task in many image analysis applications. In general, such a ratio is not amenable to graph-cut based optimiz...
Hui Wang, Nilanjan Ray, Hong Zhang