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» Image segmentation using curve evolution and flow fields
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998views
13 years 11 months ago
Snakes, Shapes, and Gradient vector flow
Active contours, or snakes, are computer-generated curves that move within images to find object boundaries. Its 3D version is often known as deformable models or active surfaces ...
118
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ICASSP
2010
IEEE
15 years 3 months ago
A shape-based framework to segmentation of tongue contours from MRI data
DIn this paper 1 , we propose a shape-based variational framework to curve evolution for the segmentation of tongue contours from MRI mid-sagittal images. In particular, we first...
Ting Peng, Erwan Kerrien, Marie-Odile Berger
194
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CVPR
2005
IEEE
16 years 5 months ago
Segmentation of Edge Preserving Gradient Vector Flow: An Approach Toward Automatically Initializing and Splitting of Snakes
Active contours or snakes have been extensively utilized in handling image segmentation and classification problems. In traditional active contour models, snake initialization is ...
Chunming Li, Jundong Liu, Martin D. Fox
155
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MEMICS
2010
14 years 10 months ago
A Simple Topology Preserving Max-Flow Algorithm for Graph Cut Based Image Segmentation
In this paper, we propose a modification to the Boykov-Kolmogorov maximum flow algorithm [2] in order to make the algorithm preserve the topology of an initial interface. This alg...
Ondrej Danek, Martin Maska
147
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MIA
2011
170views more  MIA 2011»
14 years 10 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...