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» A New Convex Variational Model for Liver Segmentation
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IPCV
2007
13 years 8 months ago
Nonconvex Regularization for Image Segmentation
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
Rick Chartrand, Valentina Staneva
TOG
2012
237views Communications» more  TOG 2012»
11 years 9 months ago
An algebraic model for parameterized shape editing
We present an approach to high-level shape editing that adapts the structure of the shape while maintaining its global characteristics. Our main contribution is a new algebraic mo...
Martin Bokeloh, Michael Wand, Hans-Peter Seidel, V...
MICCAI
2006
Springer
14 years 8 months ago
Logarithm Odds Maps for Shape Representation
The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape repr...
Kilian M. Pohl, John W. Fisher III, Martha Elizabe...
DAC
2010
ACM
13 years 11 months ago
Representative path selection for post-silicon timing prediction under variability
The identification of speedpaths is required for post-silicon (PS) timing validation, and it is currently becoming timeconsuming due to manufacturing variations. In this paper we...
Lin Xie, Azadeh Davoodi
ECCV
2008
Springer
14 years 9 months ago
Local Statistic Based Region Segmentation with Automatic Scale Selection
Abstract. Recently, new segmentation models based on local information have emerged. They combine local statistics of the regions along the contour (inside and outside) to drive th...
Jérome Piovano, Théodore Papadopoulo