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» Noisy Image Segmentation Based on a Level Set Evolution
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ECCV
2006
Springer
16 years 1 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
CVPR
2010
IEEE
2248views Computer Vision» more  CVPR 2010»
15 years 8 months ago
Morphological Snakes
We introduce a morphological approach to curve evolution. The differential operators used in the standard PDE snake models can be approached using morphological operations...
Luis Álvarez, Luis Baumela, Pedro Henríquez, Pab...
ISVC
2009
Springer
15 years 4 months ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
ICIP
2001
IEEE
16 years 1 months ago
B-spline active contours for fast video segmentation
Video segmentation is among the most important challenges of video processing and compression (MPEG-4 and MPEG-7). A drawback of classical methods is the computational cost due to...
Frédéric Precioso, Michel Barlaud
IJCV
2007
178views more  IJCV 2007»
14 years 11 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert