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» Variational image segmentation using boundary functions
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EMMCVPR
2003
Springer
14 years 27 days ago
Path Variation and Image Segmentation
We study a notion of variation for real valued two variable functions called the path variation and we discuss its application as a low-level image segmentation method. For this pu...
Pablo Andrés Arbeláez, Laurent D. Co...
ESANN
2000
13 years 9 months ago
Boundary based movement correction of functional MR data using a genetic algorithm
This paper describes a novel image registration method for movementcorrection of fMR time-series. It is important to align the fMR images in the time-series before time-dependent a...
Guojun Bao, Jagath C. Rajapakse
TMI
2011
154views more  TMI 2011»
13 years 2 months ago
Segmentation of Intra-Retinal Layers From Optical Coherence Tomography Images Using an Active Contour Approach
Abstract—Optical Coherence Tomography (OCT) is a noninvasive, depth-resolved imaging modality that has become a prominent ophthalmic diagnostic technique. We present a semiautoma...
Azadeh Yazdanpanah, Ghassan Hamarneh, Benjamin R. ...
CVPR
2005
IEEE
2143views Computer Vision» more  CVPR 2005»
15 years 4 months ago
Level Set Evolution Without Re-initialization: A New Variational Formulation
"In this paper, we present a new variational formulation for geometric active contours that forces the level set function to be close to a signed distance function, and theref...
Chunming Li, Chenyang Xu, Changfeng Gui, and Marti...
SIAMIS
2010
167views more  SIAMIS 2010»
13 years 2 months ago
Global Solutions of Variational Models with Convex Regularization
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...